BPS STRATEGIC PLAN FOR STATISTICAL DEVELOPMENT

2005-2009 BPS STRATEGIC PLAN FOR STATISTICAL DEVELOPMENT ISBN Publication No. BPS Catalogue Book Size Total Pages : : : : : 979-724-458-X 02110.06...
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2005-2009 BPS STRATEGIC PLAN FOR STATISTICAL DEVELOPMENT

ISBN Publication No. BPS Catalogue Book Size Total Pages

: : : : :

979-724-458-X 02110.0601 1153 16 cm x 24 cm 55 pages

Manuscript : Division of Planning Cover Design : Aank Published by : BPS—Statistics Indonesia Printed by :

May be cited with reference to the source

STATISTICS INDONESIA REGULATION OF DIRECTOR GENERAL OF THE BPS NUMBER 196 YEAR 2006 ON STRATEGIC PLAN FOR STATISTICAL DEVELOPMENT OF BPS-STATISTICS INDONESIA YEARS 2005-2009 DIRECTOR GENERAL OF THE BPS-STATISTICS INDONESIA Considering:

a. that pursuant to the provision of the Presidential Regulation Number 7 Year 2005 on Medium-Term National Development Plan Years 2004-2009, stating that each government agency is obligated to prepare a strategic plan consisting of vision, mission, objectives, strategies, policy, program, and principal development activities for the next five years pursuant to the tasks and functions of the agency concerned; b. that to carry out the Presidential Regulation as referred to in point a, it is necessary to have statistical development programs which are compiled in a strategic development plan in the statistical area, so it will be able to fulfill the requirement for quality statistical data which are complete, accurate, relevant, up to date, and sustainable as the basic reference in the national development plan; c. that pursuant to the consideration as referred to in points a and b, it is necessary to stipulate the Regulation of Director General of the BPS-Statistics Indonesia on Statistical Development Strategic Plan of the BPS-Statistics Indonesia Years 2005-2009;

In view of:

1. Law Number 16 Year 1997 on Statistics (State Gazette Year 1997 Number 39, Supplement to State Gazette Number 3683); 2. Law Number 25 Year 2000 on National Development Program Years 2000-2004 (State Gazette Year 2000 Number 206); 3. Government Regulation Number 51 Year 1999 on Statistical Implementation (State Gazette Year 1999 Number 96, Supplement to State Gazette Number 3854); 4. Presidential Decree Number 103 Year 2001 on Position, Tasks, Functions, Authority, Organizational Structure, and Work Procedures of Non Departmental Government Agencies as has been amended several times, lastly amended by virtue of Presidential Regulation Number 64 Year 2005;

5. Presidential Regulation Number 7 Year 2005 on MediumRange National Development Plan Years 2004-2009; 6. Decree of Director General of the BPS-Statistics Indonesia Number 001 Year 2001 on the Organization and Work Procedures of the BPS-Statistics Indonesia;

To stipulate:

HAS DECIDED: THE REGULATION OF DIRECTOR GENERAL OF THE BPSSTATISTICS INDONESIA ON STRATEGIC PLAN FOR STATISTICAL DEVELOPMENT OF BPS-STATISTICS INDONESIA YEARS 2005-2009.

Article 1 The Strategic Plan for Statistical Development of BPS-Statistics Indonesia Years 2005-2009, hereinafter shall be referred to as BPS Strategic Plan Years 2005-2009, consisting of general overview of the national statistical situation, targets, strategies, statistical development policy, principal programs, and also monitoring and evaluating statistical performance. Article 2 BPS Strategic Plan for Years 2005-2009 is prepared to achieve the objectives and the targets in the National Medium-Term Development Plan (RPJM) Years 20042009. Article 3 BPS Strategic Plan for Years 2005-2009 is used as a basis and guideline in preparing the Government Work Plan (RKP) in statistical sector during the period of 2005-2009. Article 4 The formulation of the Government Work Plan (RKP) in statistical sector is conducted by paying attention to the possibility of changes and development which need adjustment by due observance of the National RPJM years 2004-2009. Article 5 BPS Strategic Plan for Years 2005-2009 as stated in the Attachment to this Regulation. Article 6 This decree shall take effect on the date of stipulation. Stipulated in Jakarta On July 1, 2006 DIRECTOR GENERAL OF THE BPS-STATISTICS INDONESIA

Dr. RUSMAN HERIAWAN NIP. 340003999

ABBREVIATIONS AND ACRONYMS AC ADB APK APM APS ATK AusAID

Air Conditioner Asian Development Bank Gross Enrolment Rate Net Enrolment Rate School Participation Rate Stationery Australian Agency for International Development Bappenas National Development Planning Board BI Bank of Indonesia BKPM Investment Coordination Board BPPT Agency for Research and Application of Technology BPS Statistics Indonesia BS Census Block BUMD Region-owned Enterprise BUMN State-owned Enterprise CCI Cost of Construction Index CIE Communication, Information, and Education DAU General Allocation Fund DDA Region in Figures Diklat Education and Training Ditjen Directorate General for HAKI Intellectual Property Rights DPR RI House of Representatives of Republic of Indonesia FMS Statistical Community Forum FoF Flow of Fund GCF Gross Capital Formation GDI Gender Development Index GDP Gross Domestic Product GEM Gender Empowerment Index GIS Geographic Information Systems GKG Dry Paddy GRDP Gross Regional Domestic Product GTZ Gesellsehaft fur Technische Zusammenarbeit HDI Human Development Index HPH Forest Concession License HPI Human Poverty Index HR Human resources HSPK Project Unit Price HSU General Unit Price HTI Industrial Timber Estate ICOR Incremental Capital Output Ratio Information & ICT

IHPB IKKR ILOR Interdep I-O JICA KCI KCI-RT KCI-TAN KCI-UKM KCI-UMB Keppres KHL KILM KKN KSK KTA KTP LAKIP LIPI LPNRT MDGs MFD MIS NEM NRR NSS NTP P2K2 P2S PD PES PJAR

Communication Technology Wholesale Price Index Small and Household Industry Incremental Labor Output Ratio Inter Department Input-Output Japan International Cooperation Agency Sampling Frames Sampling Frame for Household Sampling Frame for Agriculture research Sampling Frame for Small and Medium Enterprises Sampling Frame for Medium and Large Scale Business Presidential Decree Decent Living Needs Key Indicators of the Labor Market Corruption, Collusion and Nepotism Sub-district Statistical Coordinator Violence against Children Violence against Women Accountability Report on Government Institution Performance National Institute of Science Non-profit institutions Millennium Development Goals Village Master File Management Information System Grade point average from final school exam Net Reproductive Rate National Statistics System Farmer Terms of Trade State and Governmental Leadership Management Program Statistics Improvement and Development Program Data Processing Post Enumeration Survey The trustee of routine budget

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ABBREVIATIONS AND ACRONYMS PMKS Podes PSE

Socially Marginalized Group Village Potential Social and Economy Statistical Registration PSPAN Infrastructure Improvement Program Pusdiklat Education and training Center RENJA-KL Working plan in a ministry or a state institution Renstra Strategic plan RI Republic of Indonesia RKP Government Annual Work Plan RLS Mean Years Schooling RPH Slaughterhouse RPJM National Medium-Term Development Plan RT Household Sakernas National Labor Force Survey SAM Social Accounting Matrix SBH Living cost survey SD Elementary school SDA Natural resources SDKI Indonesia Demographic and Health Survey Indonesia SE Economic Census SE06 2006 Economic Census SHPKP Village Producer’s Price Survey SIG-S Geographic Information System – Statistics SIM Management Information System SIMBek Management Information System – Logistic SIMKeu Management Information System – Finance SIMPeg Management Information System – Personnel SiRusa The statistical clearing house system SIS Statistics Information System SK Decree Letter SKSPJ Special Survey for Trade and Service Sector SKTIR Special Survey for Household Saving and Investment SLS Community Unit SLTA Senior High School SLTP

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SNA SNNI SP SPPB SSN ST ST03 STIS STP Supas Susenas Susi

Social National Accounting Indonesia National Account System Population Census Supply and Utility of Goods Survey Nasional Statistics System Agricultural Census 2003 Agricultural Census Institute of Statistics Sewage Treatment Plant Inter-census Population Survey National Socio-Economic Survey Integrated Enterprises Survey

TFR TOT TPI UAN

Total Fertility Rate Training of Trainers Fish Auction Center National Final Exam (see: NEM) UMKM Micro, small and medium enterprises UNDP United Nations Development Program UN-ESCAP United Nations Economic and Social Commission for Asia and the Pacific UNFPA United Nations Population Fund UNICEF United Nations Children’s Fund UNSIAP United Nations Statistical Institute for Asia and the Pacific USAID United States Agency for International Development UU Law

Junior High School

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PREFACE The target of an activity can be achieved effectively and efficiently, only if it is formulated with consideration of its dynamic environment. For a government agency, which is a large organization with a variety of activities, formulating a comprehensive and integrated strategic plan (Renstra) is not an easy job. The Renstra is a five-year plan, which is formulated with consideration of various conditions, especially related to advantages, opportunities, constraints and challenges of the executing agency. The Renstra is expected to be utilized as a guideline and direction in the efforts to achieve the targets of national development goals. With the formulation of 2005-2009 BPS Renstra, offices at central and regional levels have a general reference for the direction of statistical development in the future. This guideline, of course, still needs be elaborated into a detailed annual plan, so that the priority of BPS activities and programs becomes more concrete. Thus, other stakeholders will also know what can be expected from BPS, specifically with regards to their data and information needs. This Renstra will be meaningful only if it is followed up by thorough implementation. Meaning that, all BPS staff and partners, both at central and regional levels, are responsible for producing quality statistics in their respective sectors. Quality statistics require honest officers who are adept at dealing with various challenges. The monotonous job in statistics must be faced with persistence and ability to see their benefits. In other words, commitment, motivation and persistence are needed to produce quality statistics. Commitment, motivation, and persistence will arise from the success of self actualization in this challenging profession. In reality, BPS outputs are increasingly in demand for monitoring and evaluation of development programs, so that indirectly, the results of BPS’ work also support the efforts to improve social welfare. In this regard, the commitment, motivation and persistence of BPS staff and partners need to be continuously evaluated and improved. This Renstra will facilitate the evaluation of the direction and performance of BPS, in particular, and of national statistics activities, in general. A team of BPS experts prepared the 2005-2009 BPS Renstra. The first draft was consulted with all BPS directorates, and with technical iii

assistance from the World Bank, it was also discussed in a seminar attended by the National Development Planning Agency/ Bappenas, Members of the House of Representatives/ DPR-RI, as well as other government agencies, universities, and international organizations. This final version of the Renstra has incorporated various inputs from the consultations and improvements upon earlier drafts. We would like to express our appreciation and thanks to various parties for their active participation in preparing this document. We hope that this document will be beneficial to all interested parties.

Jakarta, July 2006 Director General of BPS-Statistics Indonesia, Dr. Rusman Heriawan

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EXECUTIVE SUMMARY It is the mandate of BPS-Statistics Indonesia (BPS) to provide quality data—data that are complete, accurate, up-to-date, sustainable, and relevant—to the Government and other data users, primarily as inputs for policy formulation, planning, monitoring and evaluation of programs, in order to meet development objectives. Hence, the aim of development—to increase social welfare—can be achieved effectively. The Presidential Regulation No. 7 year 2005 outlines the Medium-Term Development Plan (RPJM) and every Government agency, including BPS, is obligated to prepare a Medium-Term Strategy (Renstra) for the upcoming five years. The Renstra thereby provides a basis for formulating annual work plans each year, ensuring clear direction and optimal efficiency of resources during implementation. The Renstra of BPS is aligned with those of other Government agencies, as long as there are no contradictions with the provisions under the Statistical Law No.16 year 1997. Moreover, the Renstra also takes other stakeholders’ interests into consideration. It is clear from the priorities set out in the RPJM that Indonesia’s development efforts increasingly require a variety of statistical information of high quality. Therefore, BPS must increase its services to the data users. In response to this challenge, direction and organization of BPS, in terms of vision, mission, tasks, functions and responsibilities, were formulated. The vision of BPS—BPS as quality data provider—can be achieved by implementing the BPS’s mission as follows: (a) to provide statistical data that are complete, accurate, relevant and up-to-date; (b) to ensure the coordination, integration and standardization of statistical information by providing a framework in the form of a reliable, effective and efficient National Statistical System; and (c) to improve human resource capacities to promote professionalism and skills on the latest statistical science and information technology. The Renstra of BPS serves as: (a) a reference point for all BPS staff in carrying out their tasks to contribute to the achievement of BPS’s long-term goals, as well as Government objectives for the next five years; (b) the basis for BPS to coordinate the implementation of sectoral statistics activities by Government agencies, and special statistical activities by non-governmental organizations; and (c) a source of information for data users and stakeholders, both in the central Government and in the regions, about BPS activities for the 2005-2009 period. In order to achieve the vision, mission, objectives and targets of statistical development, BPS stipulates three types of programs for the 2005–2009 

period: (a) the Statistical Improvement and Development Program (P2S); (b) the Facilities and Infrastructure Improvement Program (PSPAN); and (c) the State and Governmental Leadership Management Program (P2K2). The P2S program aims to provide basic statistical data, which is complete, accurate, and timely, in the socio-cultural, economic, demographic, and environment sectors by enhancing the quality and professionalism of human resources, developing a more advanced statistical information system and implementing statistical activities consistently. The PSPAN program aims to improve the facilities and infrastructure of BPS and to enhance the skills of BPS representatives in the regions to ensure better implementation of administrative and operational activities related to data collection and processing. The P2K2 program assists in executing senior management responsibilities and facilitates the implementation of Government and state activities in the area of statistical data provision. To achieve these development objectives, BPS supports the Statistical Development strategy through five areas: (a) improving the provision of quality data at various levels; (b) developing quality statistics at the regional level; (c) improving cooperation with data producers, data users and respondents; (d) increasing the quantity and quality of resources, especially human resources, in the regions; and (e) operating a clean and transparent Government, that is free of corruption, collusion and nepotism. The strategy for improving the provision of quality data at various levels involves six activities, namely: (a) developing statistical methodologies and improving methodological soundness of statistics; (b) providing social statistical data; (c) providing economic statistical data; (d) providing crosssectoral statistics, including the formulation of various indicators; (e) improving the quality and professionalism of human resources, through education and training and; and (f) developing a comprehensive statistical information system. Subsequently, the strategy for developing quality statistics at the regional level includes development of small area statistics and region specific statistics, through activities such as the village potential (Podes) data collection effort, and through special studies in selected regions, until budget becomes available to cover all regions. The strategy for improving cooperation with data producers, data users and respondents involves developing a stronger, mutual coordination mechanism within BPS, as well as between BPS and other agencies. vi

The strategy aims at standardizing statistical definitions and concepts, classification and regional coding, as well as statistical measurement. In addition, several statistical activities will be integrated to save time, cost, and energy. This strategy is aimed to result in more inter-departmental meetings, closer cross-agency cooperation on the implementation of statistical activities, more timely and open discussions on the consistency of statistical data, and coordinated dissemination of statistical results. The strategy for increasing the quantity and quality of resources, especially human resources in the regions, will be conducted through eight activities, namely: (a) improving the quality of the Institute of Statistics (STIS); (b) improving the quality of Education and Training Center (Pusdiklat); (c) improving the effectiveness of officers’ training; (d) basing staff reward and punishment on a performance system; (e) developing a reliable management information system; (f) improving and increasing information technology equipment; (g) upgrading building facilities and infrastructure; and (h) completing other facilities and infrastructure. The strategy for supporting a clean and transparent Government, free of corruption, collusion and nepotism, is accomplished by routinely monitoring the implementation of statistical activities, formulating solutions to encountered problems and deviations from policy guidelines, and preparing periodic progress reports in a timely manner, both at the central and regional levels. Transparency in activities will be ensured by, among other things, quantity, accuracy, and timeliness of statistical indicators produced. The productivity of data produced by BPS is evident by several outcome indicators, consisting of total number of visitors and requests for data at the BPS library and website, as well as requests for data on specific subject matters through the technical units in BPS. The performance of BPS can be evaluated based on the number of indicators that are produced periodically and in a timely and accurate fashion (indicated by the standard error). In addition, the performance is further assessed by the timeliness in completing statistical activities and dissemination of statistical information. Financial management and control will be supported by a Management Information System (MIS) to eliminate corruption, collusion and nepotism and realize good governance.

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TABLE OF CONTENTS ABBREVIATIONS AND ACRONYMS …………………………………………............. i PREFACE ………………………………………………………………………………................... iii EXECUTIVE SUMMARY …………………………………………………………................. v TABLE OF CONTENTS ……………………………………………………………............... ix CHAPTER I.

INTRODUCTION …………………………………………………....... 1 A. Background ……………………………………….………….......... 1 B. Objectives of BPS Strategic Plan .……………………........ 1

CHAPTER II.

BPS IN NATIONAL STATISTICS …………………………....... 3 A. National Statistics System ..………………………………...... 3 B. BPS Vision and Mission ..…………………………………....... 3 C. BPS Tasks, Functions, and Authority ………………....... 3 D. The Condition of Statistics in Indonesia …….............. 4 E. Statistics Development Targets for 2005-2009 ........ 5 F. Strategy and Policy of Statistics Development ........ 5 G. BPS Programs ………………………………………………........... 5

CHAPTER III.

QUALITY STATISTICS FOR POLICY FORMULATION .................................................................. 7 A. Statistics Utilization ..………………………………………....... 7 B. Main Activities …………………………………………...……...... 7 C. Activities in Detail …………………..………………………....... 8

CHAPTER IV.

QUALITY STATISTICS FOR REGIONAL DEVELOPMENT ................................................................ 11 A. Statistics Requirements in the Region ……………....... 11 B. Main Activities ……………………………………….………....... 12 C. Activities in Detail …………………………………………........ 12

CHAPTER V. COORDINATION WITH STAKEHOLDERS …………......... 15 A. Coordination of Statistical Data Collection ……....... 15 B. Main Activities …………………………………………………..... 15 C. Activities in Detail …..……………………………………......... 16 CHAPTER VI. CAPACITY BUILDING …………….………………..………............ 19 A. Increasing Human Resource Capacity, Facilities and Infrastructure .……………………………....…………...... 19 B. Main Activities ………………………………………………........ 20 C. Activities in Detail …..………………………………………...... 20 ix

CHAPTER VII. PERFORMANCE MONITORING AND EVALUATION …................................................................ 23 A. Performance Indicator ……………………………………...... 23 B. Performance Monitoring …………………………………..... 23 C. Performance Evaluation …………………………………...... 23 D. Eliminating Corruption, Collusion and Nepotism ….................................................................... 23 CHAPTER VIII. CONCLUSION …………………………………….…………...…....... 25 ATTACHMENTS Attachment A List of BPS Programs and Activities related with RPJM Years 2005-2009………………………........................... 27 Attachment B BPS Programs and Activities for Years 2005-2009 ....... 31 Attachment C Proposed BPS Budget for Years 2005-2009 …………........ 39



CHAPTER I INTRODUCTION A. Background The Presidential Regulation No. 7 year 2005 regarding the National Medium-Term Development Plan (RPJM) of 2004-2009 stipulates that every government agency is obliged to make a strategic plan. This plan should take the form of a development plan with a vision, mission, objectives, strategies, policies and programs, and should outline main development activities in line with the functions of the agency for the next five years. The strategic plan directs the achievement of RPJM targets and is used as a guideline for the agency’s Government Annual Work Plan (RKP). BPS-Statistics Indonesia provides statistical data that is required for planning, monitoring and evaluation of the Government’s targets stated in the RPJM, and to satisfy the comprehensive data needs of the Government and society. The data also supports the development needs of the regional RPJM, so that development indicators for national down to the lowest level of administration are needed. Recently, the need for such indicators is met at the district and city levels, while data from the sub-district levels remains inadequate. District and city governments require accurate data to formulate policies, as well as for planning, monitoring and evaluation purposes. Currently, BPS is not equipped to meet these needs but will try to move in that direction in 2005-2009. The demand to provide comprehensive, accurate, sustainable and timely data is increasing from a wider segment of society. Central and regional governments require statistical information, as do business people, universities and research institutions. Therefore, inputs from a wide variety of consumers have been considered in the design of a strategic plan for BPS.

B. Objectives of BPS Strategic Plan BPS’ strategic plan is to provide: 1. Guidelines for BPS staff to achieve long-term objectives in the area of statistical development, as well as government goals, in the next five years; 2. The basis for BPS to coordinate on the implementation of sectoral statistical activities that are performed by other government agencies, and the implementation and collection of specific statistics by nongovernmental institutions; and, 3. The source of information about BPS activities for the period 2005-2009 for data users and stakeholders at central and regional levels. 



CHAPTER II BPS IN NATIONAL STATISTICS A. National Statistics System The national development plan based on data and information as stated in Article 31 of Law No. 25 Year 2004 on National Development Planning System (SPPN), states that accurate and reliable data and information is required to plan development activities. The data and information can come from various sources, such as the institutions themselves, BPS, and other agencies. All of these sources are included in the National Statistics System (SSN). The SSN, according to Law No. 16 Year 1997 on Statistics, comprises of three components, a) basic statistics produced by BPS, b) sectoral statistics, generally the result of administrative records of government institutions, c) specific statistics produced by other organizations. Moreover, the Meta data of the three statistical components is to be compiled at BPS headquarters and filed in the Statistical Clearing House (SiRusa).

B. BPS Vision and Mission 1. 2.

Vision BPS is the provider of quality statistics. Mission a. To provide quality statistical information which is complete, accurate, relevant, timely, and sustainable; b. To coordinate, integrate, synchronize, and standardize statistical activities to create a qualified, effective, and efficient National Statistical System; and. c. To increase the resource capacity in accordance with the latest science and information technology

C. BPS Tasks, Functions, and Authority The tasks, functions and authority of BPS have been stipulated in the Presidential Decree (Keppres) Number 103 Year 2001. In implementing its duty, function, and authority as stated hereunder, BPS is further restricted by the ten Fundamental Principles of Official Statistics, as formulated by the United Nations. 1. Task To execute government tasks in the field of statistical activities, in line with the prevailing legislative regulations on statistics 2. Function: a. To review and compile existing national policies in the field of statistical data collection b. To collect ‘basic statistics’ 

c. To coordinate activities in implement BPS’ tasks d. To provide guidance to government institutions in the field of statistical activities; and e. To provide guidance to the general administration in planning, administration, management, human resources management, finance, filing, legal, coding, inventory and internal affairs 3.

Authority a. To prepare a comprehensive national plan on statistical development b. To formulate policies to support statistical development c. To develop a statistical information system d. To stipulate and implement the collection of national official statistics e. Other authorities pursuant to the prevailing legislative regulations, i.e.: i. Formulate and implement certain policies in statistical activities ii. Prepare implementation guidelines for the sectoral statistics survey

D. The Condition of Statistics in Indonesia Four factors have supported the development of statistics in Indonesia: 1. Law Number 16 Year 1997 on Statistics is the legal foundation of statistical data collection, which ensures law enforcement in the field; 2. The Institute of Statistics (STIS) as the means to recruit new employees through the official education, and Education and Training Center (Pusdiklat) as the facility to improve human resource capabilities at BPS; 3. The current availability of data processing facilities at the district and city level, which accelerates the data processing; and 4. The fact that BPS, despite Indonesia’s decentralization, remains a vertical government institution with human resources up to the subdistrict level allows for improved facilitation of statistical activities due to proximity to sources of data In addition there are external factors that have supported the development and improvement of quality statistics: 1. The national development planning system based on data and information, as mentioned above, as well as international trends, such as globalization, have resulted in an increasing demand for data produced by BPS; 2. The data requirements from regional governments and organizations have increased due to their greater regional responsibilities since decentralization; 3. Rapid development of information and communication technology, as well as statistical methodology, has ensured that BPS staff regularly update their technical knowledge and skills;



4.

Increased awareness of the importance of statistics, as expressed in development plans produced by executive and legislative institutions puts pressure on BPS to improve their performance;

However, there are many constraints to BPS in terms of realizing its vision and mission: 1. There is a substantial lack of human resources for technical work to support policy making in provincial, district and city governments, including methodology development and survey implementation oversight; 2. Due to budget limitations, BPS is unable to update its facilities and infrastructure to keep up with the regional growth requirements; 3. The decreasing response level in some data collection activities is troubling and endangers the quality of the statistics; 4. Lack of adequate communication infrastructure in some more remote regions slows down the (raw) data flow to those centers responsible for data processing; 5. More critical society towards accuracy, speed, and objectivity of BPS data

E. Statistics Development Targets for 2005-2009 1. 2. 3. 4. 5.

To increase the efficiency of statistics Increase the ability to fulfill the growing need for small area and local specific statistics Increasing SSN functions Improving the quality and quantity of human resources Implementing good governance principles

F. Strategy and Policy of Statistical Development 1. 2. 3.

4.

5.

6.

To increase the availability of quality statistics at various levels by collecting data through census, survey, and other methods To gradually develop a system for the collection of small area and local specific statistics to support regional autonomy To increase cooperation with resource persons, data producers, and data users, and strengthen communication, information and education (CIE) about various statistical activities To improve human resource capabilities, especially in the regions, by increasing the number of staff and providing them with the appropriate education and training To ensure that BPS management is efficient, effective, clean, responsible, and transparent, by strictly monitoring management performance through information and technology measures To utilize the Statistical Community Forum (FMS) effectively by organizing more meetings, discussions, and field visits



G. BPS Programs In order to achieve the vision and mission of BPS, three programs are to be implemented in the period 2005-2009: 1. Statistics Improvement and Development Program (P2S) The program objectives are: a. Continue to provide quality statistics in the fields of demography, economics and finance, and other sectoral and cross-sectoral fields such as population, poverty, economic growth, inflation, unemployment and others, through census surveys, studies, and the compilation of administrative records; b. Increase the quality and professionalism of human resources through education and training in the fields of technical statistics, management, data computing and administration; c. Continue to develop a statistical information system that is in line with national and international benchmarks of information and communications technology, which is needed by government and society; d. Develop adequate data collection methods in accordance with the statistics required; e. Provide statistics for small areas and local specific statistics to support regional development plans; f. Increase the coordination of government agencies on statistics, particularly in terms of concept perception, definition, and indicator formulation, to create an effective national statistical system 2. Facilities and Infrastructure Improvement Program (PSPAN) This program aims at gradually increasing the amount and quality of infrastructure at BPS Headquarters and at local BPS offices in the regions (provincial/ district/ city levels) to better support administrative services and data collection efforts. 3. State and Government Leadership Management Program (P2K2) This program intends to support government leadership on its responsibility and managerial function towards providing statistical data on the national activities These programs can further be broken down into the following components: a. To provide statistics which are complete, accurate, relevant, timely and sustainable for policy formulation and to support regional development b. To improve coordination with stakeholders and data users c. To increase capacity development efforts in general Each activity group is explained separately in Chapter IV, Chapter V, and Chapter VI. The monitoring and evaluation process of these activities will be outlined in Chapter VII.



CHAPTER III QUALITY STATISTICS FOR STRATEGY FORMULATION A. Statistics Utilization Implementing Government development plans generally requires BPS data. For example, monthly inflation data and quarterly income data have significant influence on macro-economic policies in the short, medium and long term. Besides, in order to allocate the General Allocation Grant (DAU) to the regions, the central Government relies on a formula which uses data components from BPS, such as population, construction cost index (CCI), Gross Regional Domestic Product (GRDP) per capita, and the Human Development Index (HDI). BPS data also plays an important role in monitoring and evaluating government performance. Take the example of quantitative targets mentioned in RPJM, such as the determination that economic growth rate should not be less than 7.0 percent per year so that unemployment rate will be approximately 5.1 percent in 2009. Unemployment data is also calculated by BPS. Other examples of such targets are education enrollment rates between the ages of 7-12 years - which should be 99.6 percent, life expectancy– which should be 70.6 years, and poverty rate, which the Government has planned to reduce to 8.2 percent by 2009. These are all projections made by BPS. Globally, governments have abided to the Millennium Declaration, which is a commitment amongst a large number of developing and developed countries to achieve certain social development objectives. The declaration’s operational targets and goals are made explicit in the Millennium Development Goals (MDGs). Indonesia and other countries participating in the MDG effort have declared a twenty-five year achievement plan, which will end in 2015. BPS is responsible for providing quality statistical information in the form of measurable, quantitative indicators in order to monitor Indonesia’s MDGs targets achievement. Statistical data is gathered through census and sampling surveys. Sampling method selected is one that gives equal opportunity to all population members, in order to prevent bias in estimation based on the sample population selected. For this purpose, Sampling Frames are needed. BPS has four kinds of Sampling Frames (KCI), i.e. sampling frame for households (KCIRT), sampling frame for agricultural research (KCI-TAN), sampling frame for micro and small-scale business (KCI-UKM), and sampling frame for medium and large-scale business (KCI-UMB), which need to be updated periodically.

B. Main Activities This chapter explains the main activities related to providing quality statistics, required to support national policy formulation, which cover: 1. To improve data quality by continuous development and adjustment of methodologies at all phases of statistical activities, such as KCI 

improvement, data collection and data processing, including validation and data consistency, as well as data estimates 2.

To increase the collection of different types of statistics, including secondary data from other institutions, in order to: a. Meet the needs of statistical information and data users b. Enable adequate annual planning, monitoring and evaluation of the RPJM at the national, provincial and district/ city levels c. Fulfill international commitment d. Foster the development of economic activities and social change.

Those BPS indicators that are used to monitor and evaluate targets and goals stated in the RPJM are included in Attachment A. The data collected through activities in the Statistics Improvement and Development Program, which allows for the creation of those indicators, is a further provided in Attachment B.

C. Activities in Detail The activities carried out in those main activities above will cover: 1. Developing Statistical Methodologies BPS will improve KCI formulations by providing updated geographic information maps, along with basic information. Further improvement will come through: accurate implementation of sampling methodology, improved practices of sampling techniques in regional BPS offices, routine updating of KCI at district and cities level, the compilation a guide book of sampling techniques, field organizations that have the capacity to improve data quality, effective training, as well as data processing that takes into account the latest computing technology. 2. Providing Social Statistics Social statistical information activities will be implemented in 2005-2009. These include: the preparation of the Population Census 2010, the InterCensus Population Survey (Supas) 2005, the National Socio Economic Survey (Susenas), the National Labor Force Survey (Sakernas), Wage Survey, and the Social Economic Registration (PSE) in 2005, the Indonesian Demographic and Health Survey (SDKI) year 2007, in addition to other small-scale activities. These will be done through surveys covering health, education, housing, homeless, social capital, time use, and other social factors. 3. Providing Economic Statistics The collection of economic statistical data is carried out through the Agricultural Census 2003 (ST03), the preparation and implementation of the Economic Census 2006 (SE06), the Cost of Living Survey, the Price Survey, the Regional Finance Survey, the Financial Institution Survey, the Survey of Agriculture, Industry, Mining, and Construction, Integrated Household Business Survey (Susi), the Hotel and Tourism Survey, the compilation 

of export and import statistics, the compilation of transportation and communication statistics, computation of GDP, GRDP, the compilation of Input-Output (I-O) Table, compilation of Social Accounting Matrix (SAM) and Flow of Fund Account (FoF). 4. Compiling Cross-Sectoral Statistics Cross-sectoral statistics is data covering statistics across socio-economic sections of the economy. The data is compiled through various statistics and indicators such as people’s welfare, social, politics and security, violence, poverty, areas, gender and environment. Those various indicators are created through processing and data analysis. 5. Compiling Sectoral Statistics Secondary data from sectoral institutions is collected to complete data gaps created by the technical inability of BPS to collect such data. The data collection efforts cover all fields of development and are carried out by both the center and the regions and the results are summarized in statistical publications (either in printed or electronic media form). 6. Developing a Statistical Information System The development of a Statistical Information System (SIS) entails developing a system based on information and communication technology (ICT) which is accountable and able to support a series of statistical activities (from planning, data collection, processing, and analysis through to dissemination), in accordance with the latest updates. This enables BPS to present quality statistics. 7. Improving BPS’ Image through Quality Data Services to Users BPS will strive to build a user-friendly image by providing quality data to its consumers in an efficient and timely manner.



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CHAPTER IV QUALITY STATISTICS FOR REGIONAL DEVELOPMENT A. Statistics Requirements in the Region Regional autonomy has expanded the tasks of planning, monitoring and evaluating regional development to the local levels. Due to large number of regions and the variation of development aspects, BPS needs an extra effort to provide statistical information data at the municipality/ city level of development. Thus, BPS has a significant role in providing data which requires a wide range of support and infrastructure. As Law No. 16 Year 1997 was passed prior to the implementation of regional autonomy, BPS’ role stipulated in this Law is not sufficient to support the analysis of statistics for development planning in regions. Five years after regional autonomy has been implemented, BPS still needs to fill the gap between the data available at BPS and the data required in the regions. Due to its vertical organizational structure, BPS can implement a standardized system with one line of command. With BPS staff in subdistrict levels, the sub-district statistical coordinators (Koordinator Statistik Kecamatan/ KSK), it remains possible for BPS to undertake statistics activities, starting from data collection in each region up to results dissemination, without organizational constraints. With the implementation of the new regulations regarding financial management in government institutions, district and city levels, BPS can manage its own budget, including budget allocation by regional government. Moreover, the existence of data processing facilities at each district and city level allows BPS to accelerate data processing, as the recording, validation, and verification process of the data takes place at the processing center. Therefore, clean data is sent to the provincial BPS and central BPS, all made possible through a data communication system that is in line with the latest information technology. Another advantage of decentralized data processing is the ability to shorten the earlier stages of processing, so that data that needs improvement can be revised faster. If district and city BPS facilities can process data faster, this data can be used as temporary support towards regional development plans, while waiting for the final data from BPS. Currently, facilities and infrastructure for data processing at some BPS offices are inadequate, affecting the punctuality of data distribution. The processing-time of data can further be shortened if the BPS processing unit has the appropriate communication-network facilities. Difficult field conditions, particularly in Eastern Indonesia, offer real constraints against providing data on time, due to limited and affordable public transportation. Inadequate infrastructure makes some areas are difficult to reach for statistical activities. This condition in fact delays the data collecting activities, as BPS communication facilities to reach these areas are limited. 11

Certain district and city BPS offices face constraints in meeting specific data requirements. Given diverse data needs and limited resource availability that vary greatly from region to region, regional BPS offices are allowed innovations in technical activities to produce region specific statistics, as long as the activities are in accordance with BPS’ vision, mission and statistical ethics.

B. Main Activities Main activities in providing quality statistics to support decentralization cover three aspects: 1. The implementation of statistical activities from the central BPS for national policies and for production of small area statistics, mainly from the census, are done by: developing region specific statistics; increasing cooperation with provincial, district and city governments; and increasing quality of guidance to new districts and cities where BPS offices have not been set up yet. 2. Quality secondary data collection from sectors and other sources for regional development can be accomplished through: improving quality and comprehensiveness of published regional statistics with sectoral data up to the sub-district level; improving and expanding roles of regional BPS facilities in compiling sectoral statistics; and improving regional BPS’ function as regional statistics center. 3. The development of an efficient and low-cost methodology, which allows for the creation of small area and local specific statistics data.

C. Activities in Detail Details of the main activities described above comprise of: 1. Developing Local Specific Statistics Developing approaches for the collection of local specific data requires improved cooperation between the central BPS and regional BPS offices. Regional BPS offices are expected to implement activities in the field. Therefore, guidelines on sampling frameworks are to be made available for those regional BPS offices that have to collect basic data at their own expense. If there will be a cost contribution from provincial, district and city governments, BPS will try to compile study guides for the production of local specific statistics, as well as to train regional officers in the identification of local characteristics and local data collection. 2.

Increasing Cooperation with Provincial, District and City Governments

The samples used in BPS surveys are adequate to create indicators at the district, and city levels but not large enough to create detailed indicators at the district level as well as at sub-district level. To solve the problem, regional BPS offices, together with provincial, district and city governments, 12

are expected to set additional sample so that survey results can be beneficial for regional development plans. This cooperation also includes statistical trainings, allowing for the identification of local specific statistics, data analysis, and the production of data using regional maps. 3.

Improving Guidance on Quality to Regions without Local BPS Offices

Certain regencies and cities do not have a BPS office yet. In this case, BPS appoints a contact person from the main district or city BPS facility to assist these local governments. The contact person is appointed from local potential resource that available at the main BPS district/ city after receiving some technical and non technical training. 4.

Improving the Quality and Production Publication Series of Regional Sectoral Statistics down to the Sub -District Level

Currently, the data available at the regional and local level is inadequate to formulate annual policies. As BPS data for small areas below the district and city levels is available only every ten years, while other data is partly detailed only up to the district and city levels. Mean while data from available sector some of the district and city levels not be used to policy formulation. Therefore, to fill the data gaps from BPS, it is necessary to use available sectoral data by publishing them in the ‘Region in Figures’ documents, (DDA) at the provincial, district, city, and sub-district levels. 5.

Improve the Role of Regional BPS Offices in Compiling Sectoral Statistics

As stated above, the available administrative records from regional sectoral institutions often cannot be used for policy purposes. BPS however, can use its regional resources to compile sectoral data, especially where processing systems is concerned, so that the data is useful for policy-making. 6.

Increasing Functions of Regional BPS Offices as Regional Statistics Centers

Greater regional autonomy has increased the need for statistics in the regions. Therefore, the functions of regional BPS offices have grown from being field operational offices to regional statistics centers that serve all users, particularly government at provincial, district, and city in planning and monitoring and evaluation of targets stated in the Regional RPJM. Regional BPS offices should function as a reference center for regional statistics, managing Meta data from regional statistical activities. As statistics centers, regional BPS offices will be empowered through DDA improvement, training of a referential statistics information system, the development of a statistical information network, and greater ability to cooperate with various other institutions performing statistical activities, as well as stakeholders. 7.

Developing Efficient Methodologies to Create Small Area Statistics

Data collection through surveys at the district and city levels requires large sample size as well as adequate financial resources. However, if appropriate sampling technique is used and the sample is representative of 13

the local population, reliable statistics for small areas can be produced with small sample size, without requiring a large budget. Towards this end, BPS will determine the optimal sample size to create data for smaller areas with the available budget. This effort will be accompanied by routine updating KCI at the district and city levels. Next, the development of spatial data, based on geographic information systems (GIS), will gradually be carried out. The data can be used to process sampling, which has spatial considerations in accordance with needs. The use of spatial data also improves the analytical quality of maps. In addition, GIS applications are used to support census and survey activities, poverty and nutrition maps, and grid systems can be developed. To enable BPS to produce small area statistics data down to district and city levels, other data collection efforts include surveys using larger samples of population. Currently, the systems applied in Susenas and Sakernas, which use a large sample, are being expanded to BPS’ agricultural and nonagricultural economic surveys.

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CHAPTER V COORDINATION WITH STAKEHOLDERS A. Coordination of Statistical Data Collection For a reliable, effective and efficient National Statistics System (SSN), cooperation amongst various stakeholders is necessary. These include BPS Statistics Indonesia, other government institutions, universities, research institutions, enterprises and individuals. BPS applies the principles of benefit, integration, and timeliness in implementing its tasks and functions. The benefit principle implies that each statistical activity, as far as possible, will provide multi-dimensional data to satisfy national and regional statistics needs. The integration principle implies that BPS applies the same regional codes, sizes and concept definitions to statistical outputs, to ensure comparability. Finally, the updating principle means that the presented statistics data are dynamic in nature, continuously describing changes in the selected phenomena. To achieve the stated SSN objectives and targets, BPS will coordinate and cooperate with government institutions and society at the central, regional and local levels. Support by planners, field officers, data processors, data analysts, and data presentations are crucial for the quality enhancement of statistical activities and the successful dissemination of data. SiRusa or the statistical clearing house system that has been formulated in centralized era faces serious constraints over the implementation of regional autonomy, which has led to a disconnection of sectoral data flow from regions to central office. As the centre for statistical clearing house, BPS will carry out a number of efforts to fill the data gap by facilitating coordination with sectoral institutions. Coordination will be conducted not only to determine how BPS can produce basic statistics to contribute data inputs for sectoral development, but also to assist related institutions collect sectoral data from the regions. As the advisor of statistics and computer personnel, BPS will also coordinate and standardize statistical activities within government institutions, in order to achieve a reliable, effective and efficient SSN.

B. Main Activities Activities related to the coordination, integration, synchronization and standardization of statistical activities within the SSN framework are divided into three main groups: 1. To build an effective and efficient statistical activities network, through creating an inter-personnel forum and lobbying respondents to cooperate with BPS; 2. To increase and improve the function of the statistical reference system and to improve statistical socialization, through intensifying the use of standard statistical concepts and definitions, and improving services for data users; 15

3.

To empower BPS professional staff and increase cooperation among government, private and international institutions by enhancing the skills of statisticians and computer personnel, increasing cooperation with government and private institutions, and increasing cooperation with international organizations.

C. Activities in Detail The activities included in main activities will cover: 1. The Formation of a Statistical Inter-Personnel Forum In order to improve coordination, a Statistical Inter-Personnel Forum within the central and regional government institutions is expected to avoid duplication in activities that produce the same kind of statistics. The main activity of this forum is the coordination of statistical activities by BPS, in the form of inter-departmental meetings - where BPS informs members of future statistical activities, such as collaborations, discussion on data consistency issues, and dissemination of the results of statistical activities. Since 2005, BPS has embarked on socializing the results of statistical activities, and receiving inputs regarding needs of data users. 2.

Persuasion of Respondents

Respondents’ willingness to answer questions accurately is a prerequisite for good quality data. The level of appreciation of a respondent towards a statistical activity determines the rate of response. In the postreform era, there has been an increase in reluctance to participate in statistical activities, particularly among the elite and business entrepreneurs, resulting in delay and/ or incomplete data coverage. The intensity of the dialogue between BPS and the respondents can be increased by having seminars on survey results, or by forming interactive discussion groups using email as a means of communication, as well as distributing questionnaires through BPS libraries or websites. 3.

Intensifying the Use of Standard Statistical Concepts

BPS coordinates both internally and with other institutions to create concept definitions, classifications, area codes and standard statistical indicators for each statistical activity. To reduce the risk of providing the same kind of data, as well as to fill unmet data needs, BPS coordinates by conducting meetings during the preparation phase of surveys. Thus, from BPS’ experience collaborating with other partners, efficiency in terms of time, cost, or personnel can be achieved by integrating several statistical activities. Furthermore, to increase coordination with institutions outside BPS, SiRusa with sectoral data (currently stopped) needs to be revitalized. 4.

Increasing the Socialization of Statistics

The awareness level of the importance of statistics in society influences the quality of data. A society that realizes the meaning and benefits of quality data will provide reliable answers. Towards this end, BPS organizes 16

various activities such as counseling, dialogues and the socialization of statistics activities to government and non-government institutions as well as individuals. Activities to increase the socialization of statistics among others are documenting survey results in leaflets or booklets as feedback to respondents and publishing press releases periodically, regarding GDP, inflation, export and import, business and consumer tendency index, tourist visits and economy and social indicators. 5.

Improving Services to Users

To support improvement of services for users, a relevant strategy is needed in developing and applying a user-friendly system for the dissemination of statistical information with several activities as follow: a. Applying the appropriate dissemination technology to improve the quality of services to central and regional governments, as well as other users. The access mechanism on the internet, connecting users to the central database, needs to be dynamic and should be supported by an adequate data warehouse facility. b. Improving the quality of statistical information dissemination through statistical publication using national and international guidelines, while maintaining the basic characteristics and the image of BPS. c. Developing a meta data system which covers information on basic statistics, sectoral statistics and specific statistics to be used as a reference point for national statistical activities. d. Further improving the library system and developing a reliable statistics documentation system, with the compilation of international and national statistical publications, and books and references regarding statistical techniques and methodology. In addition to improving the service function, the library system and statistics documentation can speed up SSN development. 6.

Developing Positions for Statisticians and Computer Personnel

In line with the development of science and technology, it is time that statistics and computer administration in government institutions outside BPS are managed professionally. For this reason, functional positions for professional statisticians and computer administration personnel have been created. It is BPS’ responsibility as an advisory institution to provide guidance to such professional staff, not only in BPS, but also in other institutions. Such development can be implemented by improving the scoring system of credit points, conducting training, socialization, counseling, accreditation and certification. 7.

Increasing Cooperation with Government and Private Institutions

Government institutions, private sector, national and international society play a large role in improving BPS’ capacity in implementing statistical activities—in human resources skills, transfer of technology, and improvement 17

of facilities and equipment. In the era of regional autonomy, BPS has also been supported by district and city governments to carry out statistical activities, especially to meet the need for data from small areas. Advocacy effort towards officials of district and city governments will be conducted to formulate policies based on evidence in the field. BPS will also make an effort to meet technical standards suggested by the Statistical Community Forum through dialogues held with these institutions. 8.

Increasing Cooperation with International Donors

By means of international cooperation, BPS will keep working towards statistical development. As its own resources are limited, efforts will be made to close the shortfall with resources from outside. BPS will specifically aim to: (a) increase coordination meetings with various international donor agencies, such as the World Bank, ADB, UN-ESCAP, UNFPA, UNDP, UNICEF, GTZ, Aus AID, JICA, and USAID, (b) increase participation of these organizations in harmonizing standard indicators and statistics classifications, (c) increase BPS staff participation in international training events, job training, conferences, seminars, workshops, comparative studies and others, (d) improve the services for data requests to and from international institutions, (e) contribute to the development of statistics in other Asia-Pacific countries by fostering international linkages, and (f) increase the distribution of statistics development and computation.

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CHAPTER VI CAPACITY BUILDING A. Increasing Human Resource Capacity, Facilities and Infrastructure Capacity development comprises of development of human resources (HR) and capacity of other organizational components such as equipment, office infrastructure, as well as other facilities. HR capacity is enhanced in three ways: firstly, through the Institute of Statistics (STIS); secondly, via capacity building efforts of the Education and Training Center (Pusdiklat); and lastly, through special training for census and survey personnel. Through STIS, BPS recruits specialists in the statistical field. Capacity building of BPS staff in technical and administrative fields is conducted mainly through the Education and Training Center. The last type of capacity development is primarily for census and survey personnel, especially for the field staff and temporary personnel. BPS trains Indonesian students at STIS, whose curriculum includes statistical theories, applied statistics, and other supporting sciences. Every year, about 250 statisticians with academic qualification of Diploma IV graduate from STIS, which is equivalent to bachelor’s (S1) level studies. Most graduates are then employed at BPS, while some are placed in various other government institutions. Increasing need for statistical data, both in variety and quality, requires staff with a wide range of qualifications. However, the zero growth policy in the recruitment of civil servants has led to a shortage of staff at BPS at the district and city offices. Each facility is supposed to have a minimum of seven statisticians or mathematicians but actually has only half of the number. STIS can provide only one additional person every two years per district and city. Continuing retirement and shortage of new recruitment implies that BPS district and city offices have a persistent problem, and this affects their ability to collect data for regional planning, as well as for monitoring and controlling field implementations. This weakness will be overcome by providing training at the center and regions. Apart from professional and educational training to improve staff capability, the Pusdiklat also provides training in applied statistics. The reputation of this training center is quite good, as evidenced by the number of international institutions that have appointed it to run their training programs for statistics institutions in Asia Pacific, covering topics such as sampling techniques, poverty estimates and analysis. Other efforts that have been made to increase staff participation are overseas training activities such as seminars and workshops. Only qualified field personnel who have full commitment and high capability to conduct data collection activity in a professional manner can ensure the success of any statistical activity. Quality and professionalism

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of field personnel are increased through field training for every census and survey, although the training is only conducted every three years if resource availability is limited. Because the number of BPS staff at the subdistrict level is not sufficient, additional personnel must be recruited from the communities. However, besides the additional burden of cost to recruit supplementary personnel, it is also not easy to find qualified personnel at this level, which then affects the quality of statistics produced. The application of information and communication technology (ICT) to support BPS activities to produce quality statistics requires not only capacity development of human resources, but also upgrading of related facilities and equipments in keeping with technological development. This requires the development of an adequate and reliable ICT Center, as well as the development of data communication network facilities, which link all the work units in every location, both in central BPS and regional BPS offices.

B. Main Activities 1.

Activities for improving capacity are divided in four groups, i.e.: Increasing numbers and abilities of human resources, especially in the regions, is done through: improving the quality of STIS administration, improving the quality of the Education and Training Center, as well as providing incentives and penalties to employees. 2. Improving BPS capacity to adopt new ICT is implemented through: development of reliable management information systems and updating information technology equipment. 3. Increasing BPS capacity to adopt more advanced statistical methods can be realized by effective training of survey personnel. 4. Increasing ICT capacity is done by updating the building and other facilities. Good quality census and monitoring personnel is a compulsory requirement for producing accurate data, especially in large-scale statistics activities, where a large number of highly qualified field personnel are needed. To support this challenging responsibility, professional managers are essential to motivate census and monitoring personnel, but such managers remain scarce within government institutions.

C. Activities in Detail 1.

Based on those conditions above, a few activities that BPS can do are: Improve Quality of STIS Implementation

Improving the quality of STIS administration requires qualified teaching staff, adequate teaching and learning facilities and equipment, and more selective student enrollment. These are required since STIS is a business unit that functions to provide skilled personnel in statistics for BPS. The increase of BPS staff, especially in regions, can be fulfilled through equal distribution of STIS graduates all over Indonesia. As the available pool of graduates is not

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enough to replace retiring staff and additional requirements in expanding BPS offices, it is necessary to increase the number of students enrolled. Also, improvement of the quality and professionalism of human resources at BPS will be done through learning assignments of staff in specialist education for statistics and computation at STIS. 2.

Improve Quality of Education and Training Center

In order to improve the quality of training, the Education and Training Center (Pusdiklat) will be supported by qualified BPS trainers, adequate training facilities, and more comprehensive course material. The Pusdiklat will hold various education and training events, both periodic and ad hoc, focused on statistical and computation techniques, information and communication technology, and administration/ management, such as leadership education and training (Diklatpim). In addition, the Pusdiklat also holds training events sponsored by international institutions such as UNSIAP, JICA, and others. 3.

Incentives: Rewards and Punishment for Employees

Awards are given to employees, who have performed well, especially those who work in remote areas. Among others, this is done by regional selection based on their achievement every three years. In theory, this will improve their performance psychologically. On the other hand, those who conduct violations that affect the performance of the staff or others will be given appropriate penalties according to existing rules. 4.

Developing a Reliable Management Information System

Developing a reliable management information system is one of the efforts to increase capacity in the application of ICT that can support the strategy on the decision making process. Management information systems can be divided into several module systems so that development can be done gradually. These module systems are: personnel system, finance system, asset and equipment management system, activity management system, and management system of office stationery, as well as other systems required by the leadership and management to improve BPS’ performance. 5.

Provide Adequate Information Technology Equipment

One of the efforts to support capacity development in equipment and infrastructure is the upgrading of ICT equipment as the basis of a reliable management information system. This includes computer hardware with a higher capacity, and software that is more sophisticated, user-friendly and easily accessible. In addition, to increase capacity of human resources, supporting facilities such as magazines and books about information technology are also needed.

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6.

Training for Survey Personnel

Effective training is necessary for survey personnel involved in census, monitoring, verification and data-recording. This kind of training is prioritized for surveys with long periodicity, such as those conducted at least every three years, or surveys that use predominantly new enumerators or field personnel. Training effectiveness is accomplished by reducing the training frequency of annual surveys or by combining the training of similar surveys. Further, training effectiveness can also be achieved by using multimedia tools, such as teleconferences and delivering the training material on various types of media, such as videos, CDs, diskettes, and other formats. 7.

Upgrading Infrastructure Facilities

Upgrading infrastructure and facilities (particularly office buildings) is a part of institutional capacity improvement efforts at BPS Headquarters, STIS, Education and Training Center and regional BPS offices. This covers building maintenance and repairs, building facilities improvement, building rehabilitation and renovation, fencing, as well as land and building acquisition for expansion of BPS offices. Adequate building facilities provide a working environment that is comfortable, convenient and secure to facilitate BPS operational activities. 8.

Upgrading Other Facilities

Besides building facilities, it is also necessary to upgrade other facilities. This involves the procurement, maintenance and rehabilitation of office facilities at BPS Headquarters, STIS, Education and Training Center and regional BPS offices. Procurement of office facilities covers the provision of some office equipment, equipment for statistical activities for field implementations and processing, as well as providing four-wheel and two-wheel vehicles for field operations. This will support the efficiency of administrative services and overall operations.

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CHAPTER VII PERFORMANCE MONITORING AND EVALUATION A. Performance Indicators The main purpose of performance evaluations is to get information and draw lessons from experiences regarding results, benefits and impacts of activities that have just been completed, as well as those that have been ongoing. These form inputs for decision making in the framework of planning, implementation, monitoring, checking and reviewing. Accordingly, the evaluation can contribute to improving the performance of on-going and future activities, especially given limited resources. Since the performance evaluation of each government institution goes into the Report of Performance Accountability of Government Institutions (LAKIP), the best performance indicators to be used by BPS as a guide for activity scoring relate to the Agency’s technical performance. These performance indicators evaluate, among others, development, accuracy, and timeliness of data produced. Certain outcome indicators are also used to judge how beneficial or useful the statistics data produced by BPS is for society. These indicators include the number of visitors and data users attending the BPS library, number of people using the BPS web site, and level of data requests made by stakeholders to BPS subject matters.

B. Performance Monitoring Monitoring of statistical activity implementation will be conducted continuously to review the development and progress statistical activities, to identify problems and deviations, to formulate solutions to problems, and to produce periodic short-term progress reports at central and regional levels.

C. Performance Evaluation BPS performance can be judged from the completion of work and dissemination from series of statistics provided periodically. Fluctuations in economic conditions are described by statistics with short periodicity, while statistics on social changes, which occur more slowly, will be collected and published annually or longer periodicity. Monthly dissemination targets cover various kinds of statistics such as price/ inflation, export/ import, transportation, and tourism. Quarterly targets cover economic growth, business trends, and forecasted production of rice and non-rice crops. Other economic statistics, like social statistics, are disseminated annually, especially core indicators regarding people’s welfare, and more detailed indicators will be published every three years or more (see Attachment B).

D. Eliminating Corruption, Collusion and Nepotism (KKN) To optimize the results of activities performed with limited resources and budget, BPS will conduct comprehensive monitoring over all financial 23

management and statistical activities. Besides technical monitoring, as explained above, the eradication of KKN will be promoted through monitoring wealth of officials, financial management, improving quality of service to the public and taking action against KKN practices. One strategy to eradicate KKN is through ICT application. BPS will use the existing management information system (MIS) to manage personnel, finance, equipment, and others to eradicate KKN.

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CHAPTER VIII CONCLUSION It would not be incorrect to say that “statistics is expensive, but development without statistics is much more expensive.” If a decision on substantial resources is made only based on feeling or intuition, not on real facts, it will likely result in a high level of uncertainty, leading to high cost of inefficiency in state budget management. On the other hand, even if decisions are made based on statistics, if the statistics is of low quality and does not reflect the real conditions, then such decisions will be wrong anyway. Therefore, improving the quality of data is one of the core strategies in BPS’ Strategic Plan for 2005-2009. At the forefront of ensuring the quality of data is the quality human resources, especially in the regions. Thus, this will be the focus of BPS efforts, so that quality of inputs into policy making in this country will improve. Consequently, management must be more tightly controlled and monitoring in the field increased. Even good data will be of little use if decision makers do not have access to these data, or are not capable of utilizing the data. Given that these conditions exist, the BPS Strategic Plan also emphasizes revitalization of the statistics reference information system (SiRusa), especially in the central and regional BPS offices. Consequently, BPS offices need to increase its advocacy and coordination with regional government personnel in their province, districts and cities, so that sectoral data can be collected and utilized by all stakeholders. Comprehensiveness of available data is one of the requirements of quality statistics. Since data produced by BPS do not yet cover region specific and small area statistics required for decision making at the regional levels, the BPS Strategic Plan places a heavy emphasis on closing these gaps. This requires adjustments in sampling methods and conducting specific studies. Although all the efforts mentioned above are on going processes, it does not mean that we can stop here. In a dynamic environment, changes in various aspects and angles can take place any time and will be followed by changing data needs. Also, data needs stated in the RPJM have also not been fulfilled completely by the existing data collection systems. As an institution to support good governance, BPS has no alternative but to always be proactive in observing possible developments, so that future data needs can be anticipated. Therefore, BPS has included action plans in the BPS Strategic Plan, which will be used as the basis for designing the BPS annual work plan. It is with the dedication, diligence, openness and honesty of the staff that BPS can thrive and be respected, as well as contribute positively to Indonesia’s progress and development. May the Almighty God bless the contributions of BPS and its staff.

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Attachment A List of BPS Programs and Activities related with RPJM Years 2005-2009 RPJM Priority Agenda Creating a safe and peaceful Indonesia

Programme/Activities at RPJM Improving trust and harmony of different groups in society Improving security, orderliness, and crime prevention Eradicating various kinds of discrimination

Creating just and democratic Indonesia

Type of Statistics/Indicators for RPJM Monitoring and Evaluation Social resilience and sensitivity index Crime rates, crime clocks, number of police per 10.000 population, number of villages with neighborhood security system (siskamling) All statistics based on sex, area, income quintile, indicator ratio in sex, area, Q1 vs Q5

Improving quality of women’ss life and roles as well as children’s prosperity and protection

- GDI, GEM - All statistics based on sex and age groups - Time allocation statistics (time use survey) - Statistics of female/ children violation (KTP/KTA) - Child-labor statistics

Revitaling process of decentralization and regional autonomy

People’s progress indicators based on districts, small areas and local specific statistics

Creating clean and dignified government administrations

Number of white collar crimes

BPS Data Source and Type of Activities Social resilience and capital survey National socio economic survey (Susenas), compilation of crime statistics, sub-district potential census Statistics processing with details according to sex, area, and income - Statistics processing with details based on sex and age groups from Susenas, Supas, Sakernas - Time allocation survey (time use survey) - Statistics of women and children violations Village potential census Population census Small area and local specific survey Estimates of statistics/ people’s progress indicators per subdistrict from Susenas, PC, EC, AC, Podes set of data - Implementing technical education and trainings, management, functional and administration - Facility improvement programme - Implementing state and governmental leadership programme - Developing a statistics information system - Developing a data processing system - Developing reference statistics system with legal sectoral data

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RPJM Priority Agenda

Programme/Activities at RPJM Poverty alleviation

Improving non-oil investment and export

Type of Statistics/Indicators for RPJM Monitoring and Evaluation Absolute poverty indicators (poverty is measured on calorie intake, spending), average wages, relative poverty indicators (poverty is measured by access to public services or nonmonetary indicators, human poverty index) - Non-oil export volumes (quantum and US$ value) based on commodity and designated countries - Investment (amount and US$ value) approved and realized based on areas and sectoral investments

Improving competitiveness of manufacturing industry

Revitalizing agriculture Improving People’s Welfare

Empowering cooperatives and micro, small, and medium enterprises (UMKM) Improving abilities in science and technology Improving the employment situation

Achieving macro economic stability

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- Productivity (GKG/ha), planting area/harvest, production GKG/rice (ton ) per year - Sea/ land fishery production (ton per year) - Mapping potential areas of horticulture/plantation - Provincial areas of HTI (ha), KHL (ha), HPH (ha) - Number of UMKM according to kinds of business/ commodity and areas - Number of UMKM workforce according to areas - UMKM contribution in GDP/GRDP - Number of credits (users and value in Rp) - Number of (S1/S2/S3) graduates, specialists, experts, researchers in various disciplines - Number of inventions (patented and not) Economic growth, PMTB, ICOR, sectoral ILOR, non-formal economic activity growth, average of sectoral labor’s wage/ income, key indicators of labor market [KILM] modified from Sakernas, Susenas Economic growth, PMTB, ICOR, sectoral ILOR, non-formal economic activity growth, average of sectoral labor’s wages/ income, key indicators of labor market [KILM] modified from Sakernas, Susenas, inflation [core and headline]

BPS Data Source and Type of Activities - Susenas - Labor’s wage survey - Compilation of export-import statistics - Special survey on households saving and investment (SKTIR) - Compilation of BI and BKMP reports - Large and Medium Scale industrial surveys - Integrated business survey (Susi), IKKR statistics - Mining, construction, energy surveys - Survey of Tabama agriculture, horticulture - Survey of farming and fishing cost structures - Survey of plantation, forestry - Survey of fishery, farming - 2003 agriculture census - Economic Census - Susi (Survey of Integrated Business) - Susenas, large & medium scale industrial survey Compilation of LIPI, BPPT, HAKI Dit. Gen reports GDP calculation from production and consumption sides, SKTIR, Sakernas, labor’s wage survey, calculation of ICOR, ILOR - Economic census - Survey and formulation of national balance sheet - Survey of consumers prices, producers, cost of living - Sectoral survey of services, transportation and communication, hotel and tourism - Survey of regional finance, financial institutions

RPJM Priority Agenda

Improving People’s Welfare

Programme/Activities at RPJM

Type of Statistics/Indicators for RPJM Monitoring and Evaluation

Rural Development

Number and percentage of sub-districts with specific characteristics

-

Discrepancy Reduction

Gini ratio

Susenas (National Economic Survey)

Area Development

HDI, IKM

Society’s access to quality education

NBR, GDR, SPR, School Duration Average [SDA], passing rate of UAN [SD, SLTP, SLTA], Average of NEM

- Sub-district surveys - All regional surveys

Society’s access to quality education

Number of visits, contacts, morbidities, balita’s nutritional status, household percentage consuming iodine salt

Improving social protection and welfare

PMKS indicators

Susenas (social welfare)

Developing quality population and small families as well as youth and sports

TFR, NRR

- Susenas (socio-culture and sports) - Survey of inter-census population - Survey of Indonesian demography and health

Improving quality of religious life

Religion indicators

Population census

Improving the management of natural resources and preserving environment functions

Environmental indicators

Environment survey

Speeding up infrastructure development

Indicators of infrastructure development

Village potential survey

BPS Data Source and Type of Activities Recording of sub-district potentials Economic census Population census Agriculture census

Susenas (education) - Susenas (health) - Survey of Indonesian demography and health (SDKI) - Survey of balita’s nutrition/ weight scaling - Survey of iodine salt

29 29

30

Attachment B BPS Programs and Activities for Years 2005-2009 Activity Fiscal Year Program/Activities Performance Indicators Number 2005 2006 2007 2008 Statistics Improvement and Development Program SE2006 2006 Economic Census 13140 Updating of sketch maps of census Latest sketch maps of CB and √ blocks and administrative regions administrative regions 14310 Enumeration of village potential (Podes) Indicators of infrastructure √ related to economic sector Field trial of building and company/ Registration method of building √ business registration and business Business registration Directory of non-agricultural √ businesses Census of micro, small and medium UMKM data and indicators √ √ business (UMKM) Census of big scale companies Economic sector data and √ indicators Compilation of directory of large scale Directory of large scale √ industries industries Processing Raw data √ √ √ √ 16310 Analysis Review/ profile of provincial √ √ economy SP2010 2010 Population Census (PC) 14110 Pilot/ field trial √ 13140 Formulation and mapping of census Latest sketch maps of CB and √ blocks (CB) administrative regions 14110 Registration of buildings and households Number of population and households Development of KCI and mapping of Up-to-date MFD and area √ √ √ √ administrative regions maps 14110 Census of households Demographic parameters 14310 Enumeration of village potential (Podes) Infrastructure and natural resource indicators 14100 Inter-census population survey (Supas) Demographic parameters √ 0137 Population Survey 0137.01 Wage survey Wage rate indicators √ √ √ √ 0137.02 Wage structure survey Wage rate indicators √ √ √ √ 0137.03 Annual national labor force survey Labor force indicators √ √ √ √ (Sakernas) 0137.04 Statistics of youth employment Youth labor indicators √ √ √ 0137.05 Compilation of demographic parameters Demographic parameters √ from 2005 Supas results 0137.06 Calculation of projection per province Demographic parameters √ 2005 – 2010 from 2005 Supas results 0137.07 Study of child labor 2006 Child labor indicators √ √ √ √ 0137.08 Quarterly Sakernas trial Labor force indicators √ 0137.09 Projection of district/ city population Projection of district/ city √ √ √ population 0137.10 Compilation of GRDP for fiscal balancing Regional economic growth √ √ √ policy 2006 0137.11 Calculation of human development index Human development index √ √ 2006 0137.12 Housing and environmental health Housing and environmental √ √ √ indicators 2007 health indicators

2009 √ √ √ √ √ √ √ √ √ √ √ √

31

Activity Program/Activities Number 0137.13 Unemployment statistics 0137.14 Indonesian Youth Statistics 2005 0137.15 Production & printing of exclusive publication of 2000 PC results 0137.16 Survey study of time use 0130 Industry Survey 0130.01 Annual large and medium industry survey 0130.02 0130.03 0131 0131.01 0131.02 0131.03 0131.04 0131.06 0131.07 0131.08 0131.09 0131.10 0131.11 0133 0133.01 0133.02 0133.03 0133.04 0133.05 0133.06 0133.07 0133.08 0133.09 0133.10 0133.11 0133.12 0133.13 0133.14

32

Performance Indicators Unemployment statistics Indonesian Youth Statistics Exclusive publication of 2000 PC results Time use parameters

Directory of large and medium industries Quarterly and monthly large and medium Directory of large and medium industry survey industries Survey of construction, mining and energy Statistics of construction, mining and energy Agricultural Survey Agricultural survey of food crops Agricultural households and harvest areas Survey of large plantations, forestry and Directory of large plantation crumb rubber companies, forestry and crumb rubber Statistical survey of animal husbandry, Directory of animal husbandry, fishery, TPI and RPH fishery companies Survey of horticultural companies and Directory of horticultural compilation of agriculture indicators companies & agriculture indicators Inter-census agricultural survey Rice production forecast Study of rumpun counting method Review Survey of unhusked-milled rice conversion Unhusked-milled rice conversion Census of sea fishing households Sea fishing households Compilation of agricultural land conversion Agricultural land conversion Survey of plantation wage Statistics of plantation wage Trade Survey Compilation of export statistics data Export statistics Compilation of import statistics data Import statistics Statistics of wholesale price National IHPB weight Pilot survey of producer price Statistics of rural producer and consumer Unhusked rice producer price prices Change of base year and rural inflation NTP base year diagram Statistical survey of consumer price and Retail rice sales volume survey of retail rice sales volume Survey of regional finances and BUMN/ BUMD statistics BUMD finances Survey of financial institutions and BI rate, exchange rate, monitoring of foreign exchange-rate insurance Pilot study of cooperatives Review Households registration for cost of living SBH Households survey 2007 Compilation of cost of construction index Cost of construction indicators Cost of living survey 2007 Survey of building material use Prices of building material/ construction

2005 2006 √ -

Fiscal Year 2007 2008 √ √ -

2009 √ -



-

-

-

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-

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-

Activity Program/Activities Number 0133.15 Integrated Enterprises Survey (SUSI) 0133.16 0134

0135 0138 0141 0141.01

0142 0142.01 0142.02 0142.03 0142.04 0142.05 0142.06 0142.07 0142.08 0142.09 0142.10 0142.11 0142.12 0142.13 0142.14 0142.15 0142.16 0142.17 0142.18 0142.19

Performance Indicators

Directory of integrated enterprises Survey of legal business trades Directory of legal business trades Statistics of length of roads, Transportation Survey vehicles, statistics of public transportation, goods, statistics of telecommunication Survey in Service Sector and Tourism Occupancy rate, length of stay, foreign tourists, domestic tourists Mining statistics Mining Survey Survey in Environment and Landscape Environment statistics Compilation of Indonesian statistics, indicators of sustainable development, statistics of resources at sea and seashore, study of impacts of households Environment statistics garbage disposal on public health, and study of impacts of insecticide use in households Survey in Social Economy National socio economic survey (Susenas) Indicators of people’s welfare, poverty Statistics of the elderly and the youth Indicators of the elderly and the youth Profile of maternal and child health 2006 Indicators of health Compilation of balance sheet of Balance sheet of government government and private companies and private companies Quarterly GDP based on sectors and Quarterly GDP usage Compilation of flow of fund balance sheet Flow of fund account Compilation of institutions’ consolidated Indonesia’s national account balance sheet and compilation of SNNI system Compilation of households’ and non profit Directory and LNPRT account institutions’ accounts Special survey on Input-Output Production/ price indicators Compilation of sectoral GDP on-going Sectoral GDP on-going basic basic year year Quarterly GDP, application of SNA’93 and Quarterly GDP analysis of 2005 I-O Table Compilation of regional account GRDP Compilation of special survey on service Quarterly GDP trade sector (SKSPJ) 2007 Sisnerling & survey of availability of Statistics (SPPB) goods used (SPPB) Compilation of technical plan Post enumeration survey (PES) EC06 Compilation of MFD and SIG-S MFD Field implementation Processing of building and business registration results

2005 2006

Fiscal Year 2007 2008

2009



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33

Activity Fiscal Year Program/Activities Performance Indicators Number 2005 2006 2007 2008 0142.20 Trial of PD Census √ 0142.21 Information & socialization of 2006 EC √ 0142.22 Information system development/ National HSPK & HSU √ √ √ √ compilation of national HSPK & HSU 0142.23 Trial of large business & UMKM census UMKM √ 0142.24 Evaluation of sample size calculation in Indicators of sample size √ Susenas per district calculation in Susenas 0142.25 Health indicators Health indicators √ 0142.26 Compilation of balance sheet in agriculture Indicators for compilation of and industry/ special I-O survey. balance sheet in agriculture and √ √ √ √ industry/ I-O special survey. 0142.27 Training of regional instructors for listing Number of regional instructors √ √ for 2006 EC 0142.28 Updating directory of construction Latest directory of construction √ companies companies 0142.29 Updating companies in integrated EC06 Company directory in integrated √ √ SE06 0142.30 Compilation of statistics in 60 years of Statistics in 60 years of √ Indonesia independence Indonesia independence 0142.31 Compilation of GRDP statistics GRDP √ 0142.32 Time use survey √ √ Time use review 0142.32 Analysis of income per capita √ √ Income per capita 0145 Survey in Politics, Defense & Security 0145.01 Compilation of statistics on politics and security 2006 crime statistics and violence Violence indicators √ √ √ √ indicators 0145.02 Compilation of indicators and social Social sensitivity indicators √ √ √ √ sensitivity index 0145.03 Developing social and regional statistics Region specific social √ √ √ √ indicators 0145.04 Survey in social sector & social sensitivity Social sensitivity indicators √ 2007 0145.05 Publishing review and anticipation of Publication √ natural disasters in Indonesia 0145.07 Survey of society’s perception regarding 2004 general election and its impacts in Social & Defense and Security √ Indicators society’s security and orderliness 1437 Integration of Technical Planning, Implementation and Performance Evaluation 1437.01 Evaluation of BPS activities √ √ √ √ 1437.02 Study of performance evaluation and Review of performance targets of district/ city BPS’ functional √ evaluation budget 1437.03 Compilation of BPS state ministry/ institutional work plan (RENJA KL) & documents 1437.04 Evaluation of BPS long & medium term planning

34

2009 √ √ √ √ √ √ √ √ -

√ -

BPS institutional work plan

-

-







BPS long & medium term planning

-

-







Activity Program/Activities Number 0040 Developing Management Information System 0040.01 Developing services for data communications network & long-distance online access 0040.02 Developing database system 0040.03 Developing & improving integrated data processing system 0040.04 Procurement and maintenance of computer and informatics engineering equipment 0040.05 Developing & improving statistics publication system of electronics media design & BPS publications catalog 0040.06 Creating BPS statistics documentation data base in HQ & provinces through file archive retention 0040.07 Improving & developing appearance of electronic statistics & website 0040.08 Improving metadata services of basic, sectoral and special statistics activities 0040.09 0040.10 0040.11 0040.12

0040.13 0018 0018.01 0018.02 0018.03

Developing statistics information system Planning support Developing data dissemination system Developing numbering system and compiling BPS electronics publication catalog, publication management as well as socialization of standard regions-innumbers publications Developing information and improving institutional processing Pioneering Higher Education Early stages of on-the-job training in statistics Late stages of on-the-job training in statistics Education of statistics graduate and study assistance

0018.04 Micro teaching Training for teaching and learning 0021 Workforce Skills Training 0021.01 Course for treasurer

Performance Indicators

Online access through data communications network

2005 2006

Fiscal Year 2007 2008

2009











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Data dissemination system

√ √ √

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Electronic publications















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SIMPeg, SIMBek, SIMKeu Integrated Data Processing Guide Hardware, information technology guides, hardware troubles system guide Statistics publication system of electronics media design & BPS publications catalog Statistics documentation data base BPS Website Metadata services of basic, sectoral and special statistics activities BPS Website

Guide and questionnaire of field-job training Report of field-job training results Number of new STIS students, number of STIS students, number of STIS graduates Number of participants & graduates

Number of participants & graduates 0021.02 Establishment of standard competencies Number of participants & for BPS structural positions graduates 0021.03 KSK of the year in 33 Election of KSK of the year 2006 provinces 0021.04 Study of BPS employee performance Performance indicators



35

Activity Program/Activities Number 0021.05 Developing long-distance Training Center based on multimedia 0021.06 Training of functional position appraisal team of computer personnel 0021.07 Training of functional position appraisal team of statisticians 0021.08 Training of employee discipline problem solving management 0021.09 Statistical analysis training 0021.10 Training of functional statisticians, expert level 0021.11 Training of functional statisticians, skilled level 0021.12 Training of functional computer personnel, expert & skilled level 0021.13 Training of system development methods of integrated database 0021.14 Regional course on poverty measurements 0021.15 Technical upgrading of finance administration 0021.16 Regional counseling of program upgrade 0021.17 0021.18 0021.19 0021.20 0021.21 0021.22 0021.23 0021.24 0021.25 0021.26 0021.27 0021.28 0021.29 0021.30 0021.31 0021.32

36

Performance Indicators Number of participants & graduates

2005 2006 √ √

Fiscal Year 2007 2008 √ -

2009 -

Appraisal team

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Appraisal team Number of participants & graduates Number of participants & graduates Number of functional personnel

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Number of functional personnel Number of functional personnel Number of participants & graduates Number of participants & graduates Number of participants & graduates Number of participants & graduates Number of participants & Training of institutional accounting system graduates Production of Lakip Lakip Development of client server application Client Server based on Linux based on Linux Number of participants & Long distance training of basic statistics graduates Developing BPS trainer competencies in accordance with quality improvement of BPS trainers BPS training personnel Workshop on analysis & BPS data Number of participants mapping Production of audit report year 2007 Audit result Training on production of BPS Number of participants & accountability report for government graduates institution performance Annual Monitoring Work plan 2006 Work plan Training for BPS project officers and Number of participants & routine budget officers (PJAR) graduates Establishment of job qualification Improving personnel information system Simpeg Achievement motivation Employment upgrading & new employee Simpeg recruitment Program of improving accelerated Simpeg promotion & socialization of retirement SK Research households consumption with Review retail market approach

√ -

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Activity Number 0021.33 0021.34 0021.35 0021.36 0021.37 0021.38 0021.39 0021.40 0021.41

0021.42 0021.43 0021.44 0021.45 0050 0050.01 0050.02 0050.03 0050.04 0050.05 0050.06 0050.07 0050.08 0050.09 0050.10 0050.11 0050.12 0050.13 0050.14

Program/Activities

Performance Indicators

Standard classification for Standard classification trial of Indonesian Indonesian households households’ expenditure/ consumption expenditure/ consumption Training of integrated data processing with Number of participants & CSPRO for district/ city graduates Training for BPS new employees Analysis system for quality improvement Statistics data processing of statistical data processing system system Training of trainers (TOT) of functional Number of participants & computer personnel graduates Trainers upgrade at BPS Education and Number of trainers Training Center (Pusdiklat) Development of training information Training information management system–BPS Pusdiklat management system Basic database programming with visual Basic database program with basic visual basic Study of alternative methods in calculating Review of alternative methods rice-field productivity in Deli Serdang in calculating rice-field district, North Sumatra and Lampung productivity Tengah district, Lampung Development of Inter-Province Indicators of inter-province Development Index development rate TOT of first level trainers (widyaiswara) Number of participants & graduates SHPKP Training Number of participants & graduates Study of KSK placement at district/ city Review of KSK placement at district/ city Developing/ Collecting/ Processing/ Updating/ Analysis of Data and Statistics Improving commodity classification, Commodity classification & standardization & statistics terminology standardization Preparing, improving, & developing main MFD sample-frame Susenas sampling error Indicators of people’s welfare Subsectoral AC 03 sampling error Agriculture indicators Quarterly Sakernas sampling error Indicators of people’s welfare 2002–2004 Study of sampling unit formation (CB & Review of study result of SLS) sampling unit formation Development of people’s welfare Indicators of people’s welfare indicators Improving & upgrading the production of Statistics report statistics reports Study of Podes data consistency Review Business & consumer trend index and Consumer & business cycle compilation of previous indicators analysis index Analysis & calculation of poverty rate Review Development of program & work plan/ Program & work plan technical program 2005 Supas sampling error Demographic indicators Updating digital maps and MFD Updated MFD and rural area maps

2005 2006 -



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37

Activity Program/Activities Number 0050.15 Developing & improving classification, concept definition and statistics size 0050.16 Study to determine minimum sample size in social survey of population 0050.17 Study to determine minimum sample size in social survey of agriculture 0050.18 Cost analysis of education investment benefits in Indonesia 0050.19 Practical manual of survey design 0050.20 Socialization of practical manual of survey design 0050.21 Updating administrative areas 0050.22 Preparation of remote villages maps publication 2006 0050.23 Mapping of administrative mapping and census block in West Sumatra Province 0050.24 Analysis of educated unemployment 0050.25 Analysis of social sensitivity 0050.26 Analysis of employment and poverty in Indonesia 0050.27 Analysis of 2003 agriculture census result 0050.28 Study of formal/informal sectoral data evaluation Facility and Infrastructure Improvement Program Procurement of disaster mitigation 0161 equipment Procurement of building facilities 0270 Procurement of furniture Procurement of farming tools Procurement of data processing tools Procurement of two-wheeled vehicles Procurement of four-wheeled vehicles Development of facilities within the building Development of clean water/ waste facilities Office building maintenance

Performance Indicators Classification, concept definition and statistics size Minimum sample size in social survey of population Minimum sample size in social survey of agriculture Cost of education investment benefits Survey design

38

Fiscal Year 2007 2008 √ -

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Survey design

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Latest remote villages maps

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Review





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Back up hydrant and antitermite spray











AC, STP pump, sound system, spare neon sign











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Updating administrative areas in West Sumatera Demography parameter Social economy parameter Demography & poverty parameter Review

Spare tables and chairs Spare farming tools Spare data processing tools New motorcycles for KSK New car for BPS district/ city New BPS office building in district/ city Clean pump and new water 0168 filter New BPS office building in 0205 district/ city Procurement of computer Spare computers Implementation of State and Government Leadership Program Implementation of government 0119 administration 0119 Maintenance of facilities and infrastructure 0273 0276 0277 0289 0290 0167

2005 2006 -

Attachment C Proposed BPS Budget for Years 2005-2009 The overall budget required to carry out all BPS program activities in central and regional levels during the years 2005-2009 for each program is as follows.

BPS Proposed Budget by Program Years 2005-2009 (Billion Rp) Program

Budget required 2005

2006

2007

2008

2009

1.

Improvement and Development of Statistics

236.5

547.1

587.1

704.5

880.7

2.

Improvement of Facilities and Infrastructure for Government Personnel

38.0

79.4

140.4

168.5

210.6

3.

Administration of State and Government Leadership

226.9

377.7

507.2

608.6

760.8

Amount

501.4

1,004.2

1,234.7

1,481.6

1,852.1

39 39

40

2005-2009 BPS - STATISTICS INDONESIA STRATEGIC PLAN FORMULATION TEAM Steering Committee 1. Rusman Heriawan 2. Subagio Dwijosumono 3. Muljono Moeah 4. Slamet Sutomo 5. Pietojo

Formulation Team 1. Sihar Lumbantobing 2. Wynandin Imawan 3. Soedarti Surbakti 4. Pajung Surbakti 5. Agus Suherman 6. Abdul Rachman 7. Ali Rosidi 8. S Happy Hardjo 9. Arizal Ahnaf 10. Eri Hastoto 11. Arie Sukarya 12. M Sairi 13. Bambang Heru Santosa 14. Sasmito Hadi Wibowo 15. Hamonangan Ritonga 16. Ibram Syahboedin 17. Suradi 18. M. Haryono 19. Eni Lestariningsih 20. Fatimah 41

42

Badan Pusat Statistik JL. Dr. Sutomo No.6-8, Kotak Pos 1003, Jakarta-10010 Telepon : 3841195, 3842508, 3810291-5 Telex : 45159, 45169, 45325, 45375, 45385 Fax : 3857046, Email : [email protected] Homepage : http://www.bps.go.id