Lampiran 1 Perhitungan konsentrasi Perhitungan temephos 1 ppm

Transkripsi

1 Lampiran 1 Perhitungan konsentrasi: Konsentrasi 1 ppm = 1000 mg didalam ml akuades. = 1 mg didalam ml akuades. Konsentrasi 1100 ppm = 1100 mg / 1000 ml akuades. Konsentrasi 1300 ppm = 1300 mg / 1000 ml akuades. Konsentrasi 1500 ppm = 1500 mg / 1000 ml akuades. Konsentrasi 1700 ppm = 1700 mg / 1000 ml akuades. Perhitungan temephos 1 ppm: 1 g abate = mengandung 0,01 g temephos = 10 mg temephos. 1 ppm larutan temephos = 1mg temephos / 1000 ml akuades. Jadi bila ingin menghasilkan 1 ppm temephos dibutuhkan 1/10 g abate = 0,1 g abate. 53

2 Lampiran 2 Perhitungan pengenceran: Dosis 1700 ppm = 170 mg / 100 ml CMC 1% Dosis 1500 ppm = 1500 / 1700 * 100 ml = 88 ml CMC 1% Dosis 1300 ppm = 1300 / 1700 * 100 ml = 76 ml CMC 1% 12 ml 24 ml Dosis 1100 ppm = 1100 / 1700 * 100 ml = 64 ml CMC 1% + 36 ml ml CMC1% 72 ml pengenceran Total ekstrak etanol buah pare (EEBP) yang dibutuhkan: 1700 ppm ppm ppm ppm = 5600 ppm = 560 mg * pengulangan (4) = 2240 mg = 2,24 g. Total CMC 1% kering yang dibutuhkan untuk EEBP: 3,28 g * pengulangan (4) = 13,12 g. Total CMC 1% kering yang dibutuhkan untuk pengenceran: 0,72 g * pengulangan (4) = 2,88 g. Total akuades yang dibutuhkan: 400 ml * pengulangan (4) = 1600 ml. 54

3 Lampiran 3 Percobaan Trial and error 24 jam Konsentrasi (-) (+) Pengulangan Temephos 200 ppm 300 ppm 400 ppm 500 ppm Akuades 1ppm Hidup Mati Hidup Mati Hidup Mati Hidup Mati Hidup Mati Hidup Mati jam Konsentrasi (-) (+) Pengulangan Temephos 600 ppm 700 ppm 800 ppm 900 ppm Akuades 1ppm Hidup Mati Hidup Mati Hidup Mati Hidup Mati Hidup Mati Hidup Mati

4 24 jam Konsentrasi 1500 ppm 1700 ppm 1900 ppm 2100 ppm 2300 ppm 2500 ppm Pengulangan Hidup Mati Hidup Mati Hidup Mati Hidup Mati Hidup Mati Hidup Mati (-) (+) Temephos Akuades 1ppm Pengulangan Hidup Mati Hidup Mati

5 Lampiran 4 Descriptives Persentase larva mati selama 24 jam Total N Mean Descriptives 95% Confidence Interval for Mean Std. Deviation Std. Error Lower Bound Upper Bound Minimum Maximum 4 18,3333 1,92450, , , ,67 20, ,3333 4, , , , ,33 83, ,1667 1,66667, , , ,67 100, ,1667 1,66667, , , ,67 100,00 4,0000,00000,00000,0000,0000,00, ,1667 1,66667, , , ,33 86, , , , , ,1637,00 100,00 57

6 Lampiran 5 Uji ANAVA satu arah ANOVA Persentase larva mati selama 24 jam Between Groups Within Groups Total Sum of Squares df Mean Square F Sig , , ,145,000 91, , ,

7 Lampiran 6 Uji komparasi multipel Tukey HSD Dependent Variable: Persentase larva mati selama 24 jam Tukey HSD Multiple Comparisons (I) Kelompok Perlakuan (J) Kelompok Perlakuan Mean Difference (I-J) *. The mean difference is significant at the.05 level. Std. Error Sig. 95% Confidence Interval Lower Bound Upper Bound -60,00000 * 1,59571,000-65, , ,83333 * 1,59571,000-85, , ,83333 * 1,59571,000-85, , ,33333 * 1,59571,000 13, , ,83333 * 1,59571,000-70, , ,00000 * 1,59571,000 54, , ,83333 * 1,59571,000-25, , ,83333 * 1,59571,000-25, , ,33333 * 1,59571,000 73, ,4046-5,83333 * 1,59571,019-10,9046 -, ,83333 * 1,59571,000 75, , ,83333 * 1,59571,000 15, ,9046, , ,000-5,0712 5, ,16667 * 1,59571,000 94, , ,00000 * 1,59571,000 9, , ,83333 * 1,59571,000 75, , ,83333 * 1,59571,000 15, ,9046, , ,000-5,0712 5, ,16667 * 1,59571,000 94, , ,00000 * 1,59571,000 9, , ,33333 * 1,59571,000-23, , ,33333 * 1,59571,000-83, , ,16667 * 1,59571, , , ,16667 * 1,59571, , , ,16667 * 1,59571,000-89, , ,83333 * 1,59571,000 60, ,9046 5,83333 * 1,59571,019, , ,00000 * 1,59571,000-20,0712-9, ,00000 * 1,59571,000-20,0712-9, ,16667 * 1,59571,000 79, ,

8 Lampiran 7 Homogeneous Subsets Tukey HSD a Kelompok Perlakuan Sig. Persentase larva mati selama 24 jam Subset for alpha =.05 N , , , , , ,1667 1,000 1,000 1,000 1,000 1,000 Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 4,

9 Lampiran 8 Analisis Probit * * * * * * * * * * * * P R O B I T A N A L Y S I S * * * * * * * * * * * * DATA Information 16 unweighted cases accepted. 0 cases rejected because of missing data. 1 case is in the control group. 0 cases rejected because LOG-transform can't be done. MODEL Information ONLY Normal Sigmoid is requested C * * * * * * * * * * * * P R O B I T A N A L Y S I S * * * * * * * * * * * * Parameter estimates converged after 16 iterations. Optimal solution found. Parameter Estimates (PROBIT model: (PROBIT(p)) = Intercept + BX): Regression Coeff. Standard Error Coeff./S.E. Dosis Intercept Standard Error Intercept/S.E Pearson Goodness-of-Fit Chi Square = DF = 14 P =.000 Since Goodness-of-Fit Chi square is significant, a heterogeneity factor is used in the calculation of confidence limits C 61

10 * * * * * * * * * * * * P R O B I T A N A L Y S I S * * * * * * * * * * * * Observed and Expected Frequencies Prob Number of Observed Expected Dosis Subjects Responses Responses Residual C * * * * * * * * * * * * P R O B I T A N A L Y S I S * * * * * * * * * * * * Confidence Limits for Effective Dosis 95% Confidence Limits Prob Dosis Lower Upper 62

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12 RIWAYAT HIDUP Nama : Wilma Angela NRP : Alamat : Jl. Sukakarya 21 Bandung. Tempat/ Tanggal Lahir : Palembang/ 21April 1987 Riwayat Pendidikan : 1993, Lulus TK Xaverius I Palembang 1999, Lulus SD Xaverius I Palembang 2002, Lulus SLTP Xaverius VI Palembang 2005, Lulus SMAK Kolese St. Yusuf Malang 2005, Mahasiswa Fakultas Kedokteran Universitas Kristen Maranatha Bandung 64