Analisis Komparatif Pendapatan Peternak Domba Secara Intensif dan Semi Intensif di Desa Celawan Kecamatan Pantai Cermin Kabupaten Serdang Bedagai

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LAMPIRAN

Analisis Pendapatan Peternak Kambing Sistem Pemeliharaan Intensif

Lampiran 2. Hasil uji beda pendapatan/peternak usaha ternak kambing di Desa Celawan

T-TEST GROUPS=Sistem_Pemeliharaan(1 2) /MISSING=ANALYSIS

/VARIABLES=Pendapatan /CRITERIA=CI(.95).

Group Statistics

Sistem pemeliharaan N Mean Std. Deviation Std. Error Mean

Pendapatan/peternak Intensif ₈ _4279750,0000 _{2833921,35250} _{1001942,50285}

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Independent Samples Test

Levene's Test for Equality of

Variances t-test for Equality of Means

F Sig. t df Sig.

(2-tailed)

Mean Difference

Std. Error Difference

95% Confidence Interval of the Difference

Lower Upper

Pendapata n/peternak

Equal variances

assumed 3,980 ,054 -1,071 36 ,291

-6283491,66

667

5869044,96589

-18186466,55

348

5619483,22015

Equal variances

not assumed -1,993 34,098 ,054

-6283491,66

667

3153000,27584

-12690478,47

438

123495,14105

Lampiran 2. Hasil uji beda pendapatan/ST usaha ternak kambing di Desa Celawan

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Pendapatan/ST Intensif

8 3468241,7894 1076494,48569 380598,27537

Semi intensif 30 5794981,6384 5641712,16797 1030031,00578

Levene's Test for

Equality of Variances t-test for Equality of Means

F Sig. t df Sig.

(2-tailed) Mean Difference

Lower Upper

Pendapatan/ ST

Equal variances

assumed 6,448 ,016 -1,150 36 ,258 -2326739,84905

2023694,056 99

-6430981,62585

1777501,927 76 Equal variances not

assumed -2,119 34,774 ,041 -2326739,84905

1098097,864 53

-4556515,17815 -96964,51995

Lampiran 3. Hasil uji beda kelayakan usaha ternak kambing di Desa Celawan

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Levene's Test for

Equality of Variances t-test for Equality of Means

F Sig. t df

Sig. (2-tailed)

Mean Difference

Lower Upper

R/C Equal variances assumed 2,232 ,144 -,485 36 ,631 -,20822 ,42975 -1,07979 ,66335 Equal variances not

assumed -,872 35,784 ,389 -,20822 ,23873 -,69249 ,27605

R/C Intensif 8 1,6528 ,27317 ,09658

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Lampiran 3. Analisi Statistik Regresi Linear Berganda Faktor-faktor yang Mempengaruhi Pendapatan Peternak Sistem Intensif

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t Sig.

Correlations

Collinearity Statistics

B Std. Error Beta

Penjualan

ternak ,754 ,078 ,408 9,653 ,011 ,871 ,989 ,215 ,279 3,590

Jumlah Ternak

2491467

,685 1032370,558 ,608 2,413 ,137 ,886 ,863 ,054 ,008 127,357

Biaya tetap -1,008 ,467 -,298 -2,158 ,164 ,866 -,836 -,048 ,026 38,219

Biaya

Variabel -,243 ,130 -,248 -1,877 ,201 ,688 -,799 -,042 ,028 35,200

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Correlations

Pendapatan

Biaya Bibit

Penjualan ternak

Jumlah

Ternak Biaya tetap

Biaya Variabel

Pearson Correlation Pendapatan 1,000 ,927 ,871 ,886 ,866 ,688

Biaya Bibit ,927 1,000 ,631 ,936 ,966 ,758

Penjualan ternak ,871 ,631 1,000 ,595 ,553 ,395

Jumlah Ternak ,886 ,936 ,595 1,000 ,928 ,918

Biaya tetap ,866 ,966 ,553 ,928 1,000 ,738

Biaya Variabel ,688 ,758 ,395 ,918 ,738 1,000

Sig. (1-tailed) Pendapatan . ,000 ,002 ,002 ,003 ,030

Biaya Bibit ,000 . ,047 ,000 ,000 ,015

Penjualan ternak ,002 ,047 . ,060 ,077 ,166

Jumlah Ternak ,002 ,000 ,060 . ,000 ,001

Biaya tetap ,003 ,000 ,077 ,000 . ,018

Biaya Variabel ,030 ,015 ,166 ,001 ,018 .

N Pendapatan 8 8 8 8 8 8

Biaya Bibit 8 8 8 8 8 8

Penjualan ternak 8 8 8 8 8 8

Jumlah Ternak 8 8 8 8 8 8

Biaya tetap 8 8 8 8 8 8

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Lampiran 4. Analisis Statistik Regresi Linear Faktor-Faktor yang Mempengaruhi Peternak Sistem Intensif

Model Summaryb

Model R

R Square

Adjusted R Square

Std. Error of the Estimate

Change Statistics

Durbin-Watson R Square

Change F Change df1 df2 Sig. F Change

1

1,000a ,999 ,997 167328,70

768 ,999 401,171 5 2 ,002 2,469

a. Predictors: (Constant), Biaya Variabel, Penjualan ternak, Biaya tetap, Biaya Bibit, Jumlah Ternak b. Dependent Variable: Pendapatan

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1 Regression

56161773832171,020 5 11232354766434,205 401,171 ,002b

Residual 55997792828,971 2 27998896414,486

Total 56217771624999,990 7

a. Dependent Variable: Pendapatan

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Lampiran 6. Analisi Statistik Regresi Linear Berganda Faktor-faktor yang Mempengaruhi Pendapatan Peternak Sistem Semi Intensif

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig.

95,0% Confidence Interval for B Correlations Collinearity Statistics

B Std. Error Beta Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF

1 (Constant) -3315207,452 8842812,822 -,375 ,711 -21565876,116 14935461,212

Biaya Bibit 1,362 5,942 ,352 ,229 ,821 -10,901 13,625 ,446 ,047 ,030 ,007 139,436

Penjualan ternak 2,922 ,722 1,055 4,049 ,000 1,433 4,412 ,725 ,637 ,527 ,250 4,007

Jumlah Ternak 106952,720 221607,702 ,068 ,483 ,634 -350423,097 564328,537 ,041 ,098 ,063 ,843 1,186

Biaya tetap -3,064 5,891 -,796 -,520 ,608 -15,223 9,095 ,442 -,106 -,068 ,007 138,177

Biaya Variabel ,327 1,107 ,047 ,295 ,770 -1,959 2,613 ,417 ,060 ,038 ,681 1,469

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Correlations

Pendapatan Biaya Bibit

Penjualan

ternak Jumlah Ternak Biaya tetap Biaya Variabel

Pearson Correlation Pendapatan 1,000 ,446 ,725 ,041 ,442 ,417

Biaya Bibit ,446 1,000 ,812 ,272 ,996 ,235

Penjualan ternak ,725 ,812 1,000 ,100 ,810 ,463

Jumlah Ternak ,041 ,272 ,100 1,000 ,289 ,016

Biaya tetap ,442 ,996 ,810 ,289 1,000 ,255

Biaya Variabel ,417 ,235 ,463 ,016 ,255 1,000

Sig. (1-tailed) Pendapatan . ,007 ,000 ,415 ,007 ,011

Biaya Bibit ,007 . ,000 ,073 ,000 ,106

Penjualan ternak ,000 ,000 . ,299 ,000 ,005

Jumlah Ternak ,415 ,073 ,299 . ,061 ,467

Biaya tetap ,007 ,000 ,000 ,061 . ,087

Biaya Variabel ,011 ,106 ,005 ,467 ,087 .

N Pendapatan 30 30 30 30 30 30

Biaya Bibit 30 30 30 30 30 30

Penjualan ternak 30 30 30 30 30 30

Jumlah Ternak 30 30 30 30 30 30

Biaya tetap 30 30 30 30 30 30

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Model Summaryb

Model R R Square

Adjusted R Square

Std. Error of the Estimate

Change Statistics

Durbin-Watson R Square

Change F Change df1 df2

Sig. F Change 1

,770a ,593 ,508 11481248,687

91 ,593 6,997 5 24 ,000 2,242

a. Predictors: (Constant), Biaya Variabel, Jumlah Ternak, Biaya Bibit, Penjualan ternak, Biaya tetap b. Dependent Variable: Pendapatan

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1 Regression _{4611986391155057,00}

0 5 922397278231011,400 6,997 ,000

b

Residual 3163657714405357,00

0 24 131819071433556,560

Total 7775644105560414,00

0 29

a. Dependent Variable: Pendapatan

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