L A M P I R A N
1. Alat dan Bahan Alat Botol Ukuran 250 ml Mikroskop Cahaya Aerator Bohlam 5 Watt Haemocytometer Akuarium Mini
Termometer ph Meter Corong Tisu Pipet Tetes Jarum Suntik
Kertas Label Spidol Bahan Vitamin B Kompleks Cair Ragi Roti Ampas Tahu
Aquadest Alkohol 70 %
2. Prosedur Penelitian Bibit dari Alam Proses Pemasukan Bibit Yang Sudah Dikultur Pemberian Pakan Ragi Roti dan Vitamin B Kompleks
Media Uji Tampilan Media Siap Untuk Diuji
3. Rotifera (Brachionus sp)
4. Tabel Pengamatan Pertumbuhan Harian Brachionus sp Perlakuan Ulangan Pengamatan Awal 1 (Hari ke-2) 2 (Hari ke-4) 3 (Hari k3-6) 4 (Hari k3-8) 5 (Hari ke-10) A (Fitoplankton) B (Ampas Tahu) C (Ragi Roti) D (Vit. B Kompleks) 1 0.001 2 2 2 2 1 2 0.001 1 1 1 2 1 3 0.001 1 1 2 2 1 Jumlah 0.003 4 4 5 6 3 Rata-rata 0.001 1.33 1.33 1.67 2.00 1.00 1 0.001 2 12 22 60 50 2 0.001 3 15 16 18 15 3 0.001 3 10 15 25 20 Jumlah 0.003 8 37 53 103 85 Rata-rata 0.001 2.67 12.33 17.67 34.33 28.33 1 0.001 1 1 5 40 30 2 0.001 0.3 0.3 1 30 20 3 0.001 0.3 1 1 20 15 Jumlah 0.003 1.6 2.3 7 90 65 Rata-rata 0.001 0.53 0.77 2.33 30.00 21.67 1 0.001 2 15 5 3 2 2 0.001 2 25 5 5 2 3 0.001 2 10 5 80 60 Jumlah 0.003 6 50 15 88 64 Rata-rata 0.001 2.00 16.67 5.00 29.33 21.33
5. Tabel Hasil Pertumbuhan Populasi dan Pertumbuhan Harian Brachionus sp pada Perlakuan Pertumbuhan Populasi Brachionus sp Perlakuan Ulangan I II III Jumlah Rata-rata A (Fitoplankton) 8 5 6 19 6.33 B ( Ampas Tahu) 96 52 53 201 67 C ( Ragi Roti) 47 31.6 22.3 100.9 33.63 D ( Vit. B Kompleks ) 25 37 97 159 53 Pertumbuhan Harian Populasi Brachionus sp Pada Setiap Perlakuan. Waktu Pengamatan Media Perlakuan Fitoplankton Ampas Tahu Ragi Roti Vitamin B Kompleks Hari Pertama 0.001 0.001 0.001 0.001 Hari Ke-2 1.33 2.67 0.53 2.00 Hari Ke-4 1.33 12.33 0.77 16.67 Hari Ke-6 1.67 17.67 2.33 5.00 Hari Ke-8 2.00 34.33 30.00 29.33 Hari ke 10 1.00 18.33 15.00 9.66
6. Tabel Analisis Anova Sidik Ragam Pertumbuhan Populasi Rotifera (Brachionus sp) Perlakuan Ulangan I II III Ẋ A (Fitoplankton) 8 5 6 19 6.33 B ( Ampas Tahu) 96 52 53 201 67 C ( Ragi Roti) 47 31.6 22.3 100.9 33.63 D ( Vit. B Kompleks ) 25 37 97 159 53 Jumlah 176 125.6 178.3 479.9 Rata-rata 44 31.4 44.575 39.99 DB Total = Jumlah seluruh observasi- 1 = n 1 = 12 1 = 11 DB Perlakuan = Banyaknya perlakuan 1 = 4 1 = 3 DB Galat = DB total - DB perlakuan = t (r 1) = (Jumlah perlakuan) (jumlah ulangan 1) = 11 3 = 8 Faktor Koreksi (FK) = (GT) 2 = (479,9) 2 = 230304,01 = 19192,00 n 12 12 JK Total = (n-observasi total ) 2 FK = {(8) 2 + (5) 2 + (6) 2 + (96) 2 + (52) 2 + (53) 2 + (47) 2 + (31,6) 2 +(22,3) 2 +(25) 2 + (37) 2 + (97) 2 } 19192,00 = 10769,85 JK Perlakuan = (total perlakuan) 2 FK r = (19) 2 + (201) 2 + (100.9) 2 + (159) 2 19192,00 3 = 6215,9366
JK Galat = JK Total JK Perlakuan = 10769,85 6215,9366 = 4553,91 KT Perlakuan = JK Perlakuan = 6215,9366 = 2071.9788 DB Perlakuan 3 KT Galat = JK Galat = 4553,91 = 569.2387 T (r - 1) 8 F Hitung Perlakuan = KT Perlakuan = 2071.9788 KT Galat F Hitung Ulangan = KT Ulangan = 221.78083 KT Galat Sumber Variasi DB JK KT F hit F tabel 5% 1% PERLAKUAN 3 6215.9366 2071.9788 3.63991204 4.76 9.78 ULANGAN 2 443.56167 221.78083 0.38960954 GALAT 8 4553.91 569.2387 TOTAL 11 10769.85
7. Hasil Analisis Anova Menggunakan Program SPSS 17 Correlations Notes Output Created 20-Nov-2013 09:50:19 Comments Input Active Dataset DataSet0er Filter Weight Split File <none> <none> <none> N of Rows in Working Data File 4 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics for each pair of variables are based on all the cases with valid data for that pair. Syntax CORRELATIONS /VARIABLES=Fitoplankton AmpasTahu RagiRoti VitaminBKompleks /PRINT=TWOTAIL NOSIG /STATISTICS DESCRIPTIVES /MISSING=PAIRWISE. Resources Processor Time 0:00:00.000 Elapsed Time 0:00:00.032 [DataSet0] Descriptive Statistics Mean Std. Deviation N Fitoplankton 6.33 1.528 3 Ampas Tahu 67.00 25.120 3 Ragi Roti 33.633 12.4749 3 Vit. B Kompleks 53.000 38.5746 3
Correlations Fitoplankton Ampas Tahu Ragi Roti Vit. B Kompleks Fitoplankton Pearson Correlation 1.951.755 -.339 Sig. (2-tailed).200.455.780 N 3 3 3 3 Ampas Tahu Pearson Correlation.951 1.920 -.613 Sig. (2-tailed).200.256.580 N 3 3 3 3 Ragi Roti Pearson Correlation.755.920 1 -.873 Sig. (2-tailed).455.256.324 N 3 3 3 3 Vit. B Kompleks Pearson Correlation -.339 -.613 -.873 1 Sig. (2-tailed).780.580.324 N 3 3 3 3 REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Fitoplankton /METHOD=ENTER AmpasTahu RagiRoti VitaminBKompleks /RESIDUALS HIST(ZRESID) NORM(ZRESID).
Regression Notes Output Created 20-Nov-2013 09:51:15 Comments Input Active Dataset DataSet0 Filter Weight Split File <none> <none> <none> N of Rows in Working Data File 4 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Fitoplankton /METHOD=ENTER AmpasTahu RagiRoti VitaminBKompleks /RESIDUALS HIST(ZRESID) NORM(ZRESID). Resources Processor Time 0:00:00.063 Elapsed Time 0:00:00.077 Memory Required Additional Memory Required for Residual Plots 1956 bytes 640 bytes [DataSet
Warnings For the final model with dependent variable Fitoplankton, the variance- covariance matrix is singular. Influence statistics cannot be computed. Descriptive Statistics Mean Std. Deviation N Fitoplankton 6.33 1.528 3 Ampas Tahu 67.00 25.120 3 Ragi Roti 33.633 12.4749 3 Vit. B Kompleks 53.000 38.5746 3 Correlations Fitoplankton Ampas Tahu Ragi Roti Vit. B Kompleks Pearson Correlation Fitoplankton 1.000.951.755 -.339 Ampas Tahu.951 1.000.920 -.613 Ragi Roti.755.920 1.000 -.873 Vit. B Kompleks -.339 -.613 -.873 1.000 Sig. (1-tailed) Fitoplankton..100.228.390 Ampas Tahu.100..128.290 Ragi Roti.228.128..162 Vit. B Kompleks.390.290.162. N Fitoplankton 3 3 3 3 Ampas Tahu 3 3 3 3 Ragi Roti 3 3 3 3 Vit. B Kompleks 3 3 3 3
Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate Change Statistics R Square Change F Change df1 df2 Sig. F Change 1 1.000 a 1.000.. 1.000. 2 0. a. Predictors: (Constant), Vit. B Kompleks, Ampas Tahu b. Dependent Variable: Fitoplankton Model Variables Entered Variables Removed Method 1 Vit. B Kompleks, Ampas Tahu a. Enter a. Tolerance =.000 limits reached.
ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression 4.667 2 2.333.. a Residual.000 0. Total 4.667 2 a. Predictors: (Constant), Vit. B Kompleks, Ampas Tahu b. Dependent Variable: Fitoplankton Coefficientsa Standardized Unstandardized Coefficients Coefficients Correlations Collinearity Statistics Model B Std. Error Beta t Sig. Zero-order Partial Part Tolerance VIF 1(Constant).663.000.. Ampas Tahu.072.000 1.191...951 1.000.941.624 1.602 Vit. B Kompleks.015.000.390.. -.339 1.000.308.624 1.602 a. Dependent Variable: Fitoplankton
Excluded Variables b Collinearity Statistics Minimum Model Beta In t Sig. Partial Correlation Tolerance VIF Tolerance 1 Ragi Roti. a....000..000 a. Predictors in the Model: (Constant), Vit. B Kompleks, Ampas Tahu b. Dependent Variable: Fitoplankton Collinearity Diagnostics a Model Dimensio n Eigenvalue Condition Index Variance Proportions (Constant) Ampas Tahu Vit. B Kompleks 1 1 2.701 1.000.00.01.02 2.281 3.101.00.07.36 3.018 12.114.99.93.62 a. Dependent Variable: Fitoplankton
Residuals Statistics a Minimum Maximum Mean Std. Deviation N Predicted Value 5.00 8.00 6.33 1.528 3 Residual.000.000.000.000 3 Std. Predicted Value -.873 1.091.000 1.000 3 Std. Residual.... 0 a. Dependent Variable: Fitoplankton