LAMPIRAN 1. Hasil Pengamatan Mortalitas Larva Aedes aegypti Instar III 1. Pengamatan Jumlah Mortalitas Larva Nyamuk Aedes aegypti per 12 JSA (Jam Setelah Aplikasi) Perlakuan Konsentrasi 12 24 36 48 (%) I II III I II III I II III I II III Aquades Ekstrak Etanol Rimpang AlangAlang Abate 2.

0 0,3 0,6 1,2 2,4 4,8 3,54

0 18 22 22 23 25 4

0 19 20 23 24 24 2

0 17 21 23 23 24 5

0 21 24 23 24 25 9

0 20 22 24 25 25 8

0 19 23 24 24 25 11

0 23 25 25 25 25 13

0 21 25 25 25 25 12

0 19 24 25 25 25 15

0 24 25 25 25 25 16

0 22 25 25 25 25 18

0 22 25 25 25 25 20

I

60 II

III

0 25 25 25 25 25 20

0 25 25 25 25 25 21

0 25 25 25 25 25 23

I

72 II

III

0 25 25 25 25 25 24

0 25 25 25 25 25 23

0 25 25 25 25 25 25

Persentase Mortalitas Larva Nyamuk Aedes aegypti Per 12 JSA (Jam Setelah Aplikasi)

Perlakuan Jenis Konsentrasi Ekstraksi (V/V)

Metode Maserasi

Abate

0 0,3 0,6 1,2 2,4 4,8 3,54

I

12 II

III

0 72 88 88 92 100 16

0 76 80 92 96 96 8

0 68 84 92 92 96 20

I

24 II

Jumlah Mortalitas (%) Larva Per 12 Jam 36 48 III I II III I II III I

0 0 0 84 80 76 96 88 92 92 96 96 96 100 96 100 100 100 36 32 44

0 92 100 100 100 100 52

81

0 0 0 0 84 76 96 88 100 96 100 100 100 100 100 100 100 100 100 100 100 100 100 100 48 60 64 72

0 88 100 100 100 100 80

0 100 100 100 100 100 20

60 II

III

I

72 II

III

0 100 100 100 100 100 21

0 100 100 100 100 100 23

0 100 100 100 100 100 24

0 100 100 100 100 100 23

0 100 100 100 100 100 25

3. Total dan Persentase Koreksi Mortalitas (%) Larva Nyamuk Aedes aegypti Per 12 JSA (Jam Setelah Aplikasi) Perlakuan Konsentrasi (%) Total

0 0,3 0,6 1,2 2,4 4,8 3,54

0 54 63 68 70 73 11

Jumlah Mortalitas Larva Per 12 Jam 12 24 36 48 60 72 Mortalitas Total Mortalitas Total Mortalitas Total Mortalitas Total Mortalitas Total Mortalitas % % % % % % 0 72 84 90,66667 93,33333 97,33333 14,66667

0 60 69 71 73 75 28

0 80 92 94,66667 97,33333 100 37,33333

0 63 74 75 75 75 28

0 84 98,66667 100 100 100 37,33333

82

0 68 75 75 75 75 54

0 90,66667 100 100 100 100 72

0 75 75 75 75 75 64

0 100 100 100 100 100 85,33333

0 54 63 68 70 73 11

0 72 84 90,66667 93,33333 97,33333 14,66667

Lampiran 2. Hasil Uji Statistik menggunakan Program SPSS 16. 1. Hasil Uji pada 12 JSA (Jam Setelah Aplikasi) NPAR TESTS /K-S(NORMAL)=data12 perlakuan12 /MISSING ANALYSIS.

NPar Tests One-Sample Kolmogorov-Smirnov Test data12 N Normal Parameters

a

21

21

64.5714

4.0000

3.82055E1

2.04939

Absolute

.250

.121

Positive

.177

.121

Negative

-.250

-.121

1.146

.555

.145

.917

Mean Std. Deviation

Most Extreme Differences

perlakuan12

Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed) a. Test distribution is Normal.

ONEWAY dataMaerasi12 BY perlakuan12 /MISSING ANALYSIS /POSTHOC=DUNCAN ALPHA(0.05).

Oneway ANOVA dataMaerasi12 Sum of Squares Between Groups Within Groups Total

df

Mean Square

29022.476

6

4837.079

170.667

14

12.190

29193.143

20

81

F 396.792

Sig. .000

Post Hoc Tests Homogeneous dataMaerasi12 Duncan Subset for alpha = 0.05

perlaku an12

N

1

2

3

4

5

6

1

3

.0000

7

3

2

3

3

3

4

3

90.6667

5

3

93.3333

6

3

14.6667 72.0000 84.0000

97.3333

Sig.

1.000

1.000

1.000

1.000

.365

Means for groups in homogeneous subsets are displayed.

2. Hasil Uji pada 24 JSA (Jam Setelah Aplikasi) NPAR TESTS /K-S(NORMAL)=data24 perlakuan24 /MISSING ANALYSIS.

NPar Tests One-Sample Kolmogorov-Smirnov Test data24 N Normal Parameters

93.3333

a

21

21

71.6190

4.0000

3.64177E1

2.04939

Absolute

.262

.121

Positive

.218

.121

Negative

-.262

-.121

1.201

.555

.112

.917

Mean Std. Deviation

Most Extreme Differences

perlakuan24

Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed) a. Test distribution is Normal.

82

.182

ONEWAY dataMaserasi24 BY perlakuan24 /MISSING ANALYSIS /POSTHOC=DUNCAN ALPHA(0.05).

Oneway ANOVA dataMaserasi24 Sum of Squares Between Groups

Mean Square

F

26364.952

6

4394.159

160.000

14

11.429

26524.952

20

Within Groups Total

df

Sig.

384.489

Post Hoc Tests Homogeneous dataMaserasi24 Duncan Subset for alpha = 0.05

perlaku an24

N

1

2

3

4

5

1

3

7

3

2

3

3

3

92.0000

4

3

94.6667

94.6667

5

3

97.3333

97.3333

6

3

Sig.

.0000 37.3333 80.0000

1.0000E2 1.000

1.000

1.000

Means for groups in homogeneous subsets are displayed.

83

.087

.087

.000

3. Hasil Uji pada 36 JSA (Jam Setelah Aplikasi) NPAR TESTS /K-S(NORMAL)=data36 perlakuan36 /MISSING ANALYSIS.

NPar Tests One-Sample Kolmogorov-Smirnov Test data36 N Normal Parameters

a

21

21

76.5714

4.0000

3.60508E1

2.04939

Absolute

.285

.121

Positive

.258

.121

Negative

-.285

-.121

1.305

.555

.066

.917

Mean Std. Deviation

Most Extreme Differences

perlakuan36

Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed) a. Test distribution is Normal. ONEWAY dataMaserasi36 BY perlakuan36 /MISSING ANALYSIS /POSTHOC=DUNCAN ALPHA(0.05).

Oneway ANOVA dataMaserasi36 Sum of Squares Between Groups Within Groups Total

df

Mean Square

25779.810

6

4296.635

213.333

14

15.238

25993.143

20

84

F 281.967

Sig. .000

Post Hoc Tests Homogeneous dataMaserasi36 Duncan Subset for alpha = 0.05

perlaku an36

N

1

2

3

4

1

3

.0000

7

3

2

3

3

3

98.6667

4

3

1.0000E2

5

3

1.0000E2

6

3

1.0000E2

53.3333 84.0000

Sig.

1.000

1.000

1.000

.705

Means for groups in homogeneous subsets are displayed.

4. Hasil Uji pada 48 JSA (Jam Setelah Aplikasi) NPAR TESTS /K-S(NORMAL)=data48 perlakuan48 /MISSING ANALYSIS.

NPar Tests One-Sample Kolmogorov-Smirnov Test data48 N Normal Parameters

a

21

21

80.3810

4.0000

3.51432E1

2.04939

Absolute

.300

.121

Positive

.288

.121

Negative

-.300

-.121

1.375

.555

.046

.917

Mean Std. Deviation

Most Extreme Differences

perlakuan48

Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed) a. Test distribution is Normal.

85

ONEWAY dataMaserasi48 BY perlakuan48 /MISSING ANALYSIS /POSTHOC=DUNCAN ALPHA(0.05).

Oneway ANOVA dataMaserasi48 Sum of Squares Between Groups

Mean Square

24530.286

6

4088.381

170.667

14

12.190

24700.952

20

Within Groups Total

df

Post Hoc Tests Homogeneous dataMaserasi48 Duncan Subset for alpha = 0.05

perlaku an48

N

1

2

3

4

1

3

7

3

2

3

3

3

1.0000E2

4

3

1.0000E2

5

3

1.0000E2

6

3

1.0000E2

Sig.

.0000 72.0000 90.6667

1.000

1.000

1.000

Means for groups in homogeneous subsets are displayed.

86

1.000

F 335.375

Sig. .000

5. Hasil Uji pada 60 JSA (Jam Setelah Aplikasi) NPAR TESTS /K-S(NORMAL)=data60 perlakuan60 /MISSING ANALYSIS.

NPar Tests One-Sample Kolmogorov-Smirnov Test data60 N Normal Parameters

a

21

21

83.6190

4.0000

3.54154E1

2.04939

Absolute

.392

.121

Positive

.322

.121

Negative

-.392

-.121

1.798

.555

.003

.917

Mean Std. Deviation

Most Extreme Differences

perlakuan60

Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed) a. Test distribution is Normal.

ONEWAY dataMaserasi60 BY perlakuan60 /MISSING ANALYSIS /POSTHOC=DUNCAN ALPHA(0.05).

Oneway ANOVA dataMaserasi60 Sum of Squares Between Groups Within Groups Total

df

Mean Square

25010.286

6

4168.381

74.667

14

5.333

25084.952

20

87

F 781.571

Sig. .000

Post Hoc Tests Homogeneous dataMaserasi60 Duncan Subset for alpha = 0.05

perlaku an60

N

1

2

3

1

3

.0000

7

3

2

3

1.0000E2

3

3

1.0000E2

4

3

1.0000E2

5

3

1.0000E2

6

3

1.0000E2

85.3333

Sig.

1.000

1.000

1.000

Means for groups in homogeneous subsets are displayed.

6. Hasil Uji pada 72 JSA (Jam Setelah Aplikasi) NPAR TESTS /K-S(NORMAL)=data72 perlakuan72 /MISSING ANALYSIS.

NPar Tests One-Sample Kolmogorov-Smirnov Test data72 N Normal Parameters

a

21

21

85.1429

4.0000

3.56683E1

2.04939

Absolute

.433

.121

Positive

.339

.121

Negative

-.433

-.121

1.986

.555

.001

.917

Mean Std. Deviation

Most Extreme Differences

perlakuan72

Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed) a. Test distribution is Normal.

88

ONEWAY dataMaserasi72 BY perlakuan72 /MISSING ANALYSIS /POSTHOC=DUNCAN ALPHA(0.05).

Oneway ANOVA dataMaserasi72 Sum of Squares Between Groups

Mean Square

25412.571

6

4235.429

32.000

14

2.286

25444.571

20

Within Groups Total

df

Post Hoc Tests Homogeneous dataMaserasi72 Duncan Subset for alpha = 0.05

perlaku an72

N

1

2

3

1

3

7

3

2

3

1.0000E2

3

3

1.0000E2

4

3

1.0000E2

5

3

1.0000E2

6

3

1.0000E2

Sig.

.0000 96.0000

1.000

1.000

1.000

Means for groups in homogeneous subsets are displayed.

89

F 1.853E3

Sig. .000

Lampiran 3. Hasil Analisis Probit Menggunakan SPSS 16. 1. Hasil Analisis Probit 12 JSA PROBIT mortalitas12 OF total12 WITH konsentrasi12 /LOG 10 /MODEL PROBIT /PRINT FREQ CI /CRITERIA P(0.15) ITERATE(20) STEPLIMIT(.1).

Probit Analysis Chi-Square Tests Chi-Square PROBIT

Pearson Goodness-of-Fit Test

No.

Point

1 2 3 4 5 6 7 8 9 10

LC10 LC20 LC30 LC40 LC50 LC60 LC70 LC80 LC90 LC99

dfa

.383

Sig. 3

.944b

Confidence Limits 95% Confidence Limits for konsentrasi Estimate Lower Bound Upper Bound .005 .000 .023 .013 .001 .045 .026 .002 .073 .046 .006 .112 .080 .015 .167 .137 .037 .250 .245 .095 .391 .483 .272 .699 1.238 .857 2.127 11.590 5.032 77.657

a. Logarithm base = 10.

2. Hasil Analisis Probit 24 JSA PROBIT mortalitas24 OF total24 WITH konsentrasi24 /LOG 10 /MODEL PROBIT /PRINT FREQ CI /CRITERIA P(0.15) ITERATE(20) STEPLIMIT(.1).

Probit Analysis Chi-Square Tests Chi-Square

90

dfa

Sig.

Pearson Goodness-ofFit Test

PROBIT

1.284

3

.733b

Confidence Limits No.

Point

1 2 3 4 5 6 7 8 9 10

LC10 LC20 LC30 LC40 LC50 LC60 LC70 LC80 LC90 LC99

95% Confidence Limits for konsentrasi Estimate Lower Bound Upper Bound .008 .000 .032 .017 .001 .053 .029 .002 .078 .045 .005 .107 .069 .011 .145 .106 .024 .198 .168 .053 .278 .286 .131 .423 .599 .400 .873 3.466 1.903 14.438

a. Logarithm base = 10.

3. Data Maserasi Hasil Analisis Probit 36 JSA PROBIT mortalitas36 OF total36 WITH konsentrasi36 /LOG 10 /MODEL PROBIT /PRINT FREQ CI /CRITERIA P(0.15) ITERATE(20) STEPLIMIT(.1).

Probit Analysis Chi-Square Tests

Chi-Square Pearson Goodness-ofFit Test

No.

Point

1 2 3

LC10 LC20 LC30

dfa

1.284

Sig. 3

.733b

Confidence Limits 95% Confidence Limits for konsentrasi Estimate Lower Bound Upper Bound .085 .008 .147 .108 .015 .172 .129 .024 .192

91

4 5 6 7 8 9 10

LC40 LC50 LC60 LC70 LC80 LC90 LC99

.150 .173 .199 .231 .276 .352 .630

.036 .053 .077 .114 .177 .289 .477

.212 .232 .255 .284 .328 .454 1.888

4. Data Maserasi Hasil Analisis Probit 48 JSA PROBIT mortalitas48 OF total48 WITH konsentrasi48 /LOG 10 /MODEL PROBIT /PRINT FREQ CI /CRITERIA P(0.15) ITERATE(20) STEPLIMIT(.1).

Probit Analysis Chi-Square Tests Chi-Square PROBIT

Pearson Goodness-of-Fit

.158

Test

No.

Point

1 2 3 4 5 6 7 8 9 10

LC10 LC20 LC30 LC40 LC50 LC60 LC70 LC80 LC90 LC99

df

a

Sig. 3

.984

b

Confidence Limits 95% Confidence Limits for konsentrasi Estimate Lower Bound Upper Bound .102 .122 .140 .157 .175 .194 .218 .249 .300 .483 -

a. Logarithm base = 10.

92

Data Maserasi Hasil Analisis Probit 60 JSA PROBIT mortalitas60 OF total60 WITH konsentrasi60 /LOG 10 /MODEL PROBIT /PRINT FREQ CI /CRITERIA P(0.15) ITERATE(20) STEPLIMIT(.1).

Probit Analysis Warnings No statistics are computed because the ratios of response counts to subject counts are the same, i.e. the slope is zero.

Data Information N of Cases Valid Rejected

5 Missing

0

LOG Transform Cannot be

0

Done Number of Responses >

0

Number of Subjects Control Group

1

93

5. Data Maserasi Hasil Analisis Probit 72 JSA PROBIT mortalitas72 OF total72 WITH konsentrasi72 /LOG 10 /MODEL PROBIT /PRINT FREQ CI /CRITERIA P(0.15) ITERATE(20) STEPLIMIT(.1).

Probit Analysis Warnings No statistics are computed because the ratios of response counts to subject counts are the same, i.e. the slope is zero.

Data Information N of Cases Valid Rejected

5 Missing

0

LOG Transform Cannot be

0

Done Number of Responses >

0

Number of Subjects Control Group

1

94

95

DEPARTEMEN AGAMA RI UNIVERSITAS ISLAM NEGERI MAULANA MALIK IBRAHIM MALANG FAKULTAS SAINS DAN TEKNOLOGI Jl. Gajayana 50 Malang Telp. (0341) 551354 Fax. (0341) 572533

BUKTI KONSULTASI Nama NIM Fakultas/Jurusan Pembimbing Judul

: Indra Farida : 09620005 : Sains dan Teknologi/Biologi : Dr. Evika Sandi Savitri, M. P : Efektivitas Ekstrak Etanol Rimpang Alang-Alang (Imperata cylindrica) Sebagai Larvasida Nyamuk (Aedes aegypti L.) Instar III.

No. 1. 2.

Tanggal 17 Januari 2013 25 Januari 2013

3. 4. 5. 6. 7. 8.

01 Februari 2013 12 April 2013 26 April 2013 31 Mei 2013 19 Juni 2013 27 Juni 2013

9. 10. 11. 12.

28 Juni 2013 01Juli 2013 05 Juli 2013 06 Juli 2013

Hal yang dikonsultasikan Pengajuan Bab I Revisi Bab I dan pengajuan bab II, III Revisi Bab I, II, III Acc Bab I, II, III Seminar Proposal Revisi Bab I, II dan III Pengajuan Bab IV Revisi Bab IV dan pengajuan Bab V Revisi Bab IV dan V Acc Keseluruhan Revisi Bab IV dan V Acc Skripsi

Tanda Tangan 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12.

Malang, 01 Juli 2013 Mengetahui, Ketua Jurusan Biologi

Dr. H. Eko Budi Minarno, M. Pd NIP. 19630114 199903 1 001

96

KEMENTRIAN AGAMA RI UNIVERSITAS ISLAM NEGERI MAULANA MALIK IBRAHIM MALANG FAKULTAS SAINS DAN TEKNOLOGI Jl. Gajayana 50 Malang Telp. (0341) 551354 Fax. (0341) 572533

BUKTI KONSULTASI Nama NIM Fakultas/Jurusan Pembimbing Judul

No. 1.

2.

: Indra Farida : 09620005 : Sains dan Teknologi/Biologi : Umayyatus Syarifah, M. A : Efektivitas Ekstrak Etanol Rimpang Alang-Alang (Imperata cylindrica) Sebagai Larvasida Nyamuk (Aedes aegypti L.) Instar III.

Tanggal

Hal yang dikonsultasikan

25 Maret 2013

Pengajuan Bab I, II

15 April 2013

Revisi Bab I, II, dan III

01 Mei 2013

Revisi Bab I, II, III, IV

Tanda Tangan 1.

2.

dan V 3.

15 juni 2013

Revisi Bab I, II, III, IV

3.

dan V 4.

29 Juli 2013

Acc Skripsi

4.

Malang, 01 Juli 2013 Mengetahui Ketua Jurusan Biologi

Dr. H. Eko Budi Minarno, M. Pd NIP. 19630114 199903 1 001

97