Faktor-faktor yang Mempengaruhi Ketersediaan Padi dan Jagung Kabupaten Karo

Lampiran 1. Perkembangan Jumlah Penduduk Menurut Kecamatan di Kabupaten Karo Tahun 2005-2015

Sumber : Badan Pusat Statistik Kab. Karo

Lampiran 2. Ketersediaan Padi di Kabupaten Karo

2001 84.386,8106 22.126 32.815,70 _{3740000 2147815}

2002 114.804,3529 21.058 34.102,99 _{4000000 1761726}

2003 154.235,5508 22.268 35.455,37 _{4000000 1755705}

2004 171.699,7066 20.194 35.602,20 _{4060000 2369720}

2005 172.117,1040 17.965 36.047,60 _{4800000 2675040}

2006 190.447,4632 18.442 39.051,27 _{4900000 2801220}

2007 244.339,3309 22.973 40.055,95 _{6500000 3034527}

2008 268.793,5902 21.438 41.140,32 _{6750000 4136170}

2009 334.770,3174 25.553 42.250,57 _{6600000 4074905}

2010 343.063,7562 23.203 40.009,44 _{7713000 4741389}

2011 377.448,2124 23.108 40.383,59 _{9214000 5011863}

2012 438.108,3821 25.977 40.905,82 _{9988000 5076754}

2013 471.937,7239 24.068 41.468,07 _{10422000 6376401}

2014 484.345,3886 22.904 43.618,91 _{10651000 5748885}

Lampiran 3. Hasil Analisis Regresi Faktor-Faktor yang Mempengaruhi Ketersediaan Padi di Kabupaten Karo

a. Predictors: (Constant), Harga Impor Beras, Luas Panen Padi, Konsumsi Beras, Harga Domestik Beras b. Dependent Variable: Ketersediaan Padi

ANOVAb

a. Predictors: (Constant), Harga Impor Beras, Luas Panen Padi, Konsumsi Beras, Harga Domestik Beras

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

T Sig.

Correlations Collinearity Statistics B Std. Error Beta Zero-order Partial Part Tolerance VIF

1 (Constant)

-406143,436

140331,893 -2,894 ,016

Luas Panen Padi 3,328 3,748 ,052 ,888 ,395 ,662 ,270 ,040 ,579 1,726 Konsumsi Beras 8,595 3,841 ,207 2,237 ,049 ,908 ,578 ,100 ,232 4,301 Harga Domestik

Beras

,036 ,010 ,671 3,568 ,005 ,983 ,748 ,159 ,056 17,779

Lampiran 4. Ketersediaan Jagung di Kabupaten Karo

2001 _{56637,94 1911508,05 48733,00 844000,00}

2002 _{85415,23 2130819,72 49854,00 899000,00}

2003 _{119420,96 2408360,06 52997,00 844000,00}

2004 _{141207,29 3270304,50 43959,00 1023000,00}

2005 _{161493,72 3683020,64 39805,00 1398000,00}

2006 _{199714,94 3978802,62 50135,00 1200000,00}

2007 _{246060,16 4483323,77 61566,00 1552000,00}

2008 _{289291,22 5058679,19 65234,00 2075000,00}

2009 _{332293,75 5646544,39 67068,00 1776000,00}

2010 _{382712,09 6676016,38 90605,00 2052000,00}

2011 _{408407,00 7634393,22 65318,00 2363000,00}

2012 _{467652,72 8512706,36 78350,00 2102000,00}

2013 _{503198,19 12634515,67 66420,00 2812000,00}

2014 _{542171,63 13817089,85 65421,00 2738000,00}

Lampiran 5. Hasil Analisis Regresi Faktor-Faktor yang Mempengaruhi Ketersediaan Jagung di Kabupaten Karo

Model Summaryb

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 ,990a ,980 ,974 28428,65601 ,980 178,773 3 11 ,000

a. Predictors: (Constant), Harga Domestik Jagung, Luas Panen Jagung, Pendapatan b. Dependent Variable: Ketersediaan Jagung

ANOVAb

Model

Sum of Squares Df Mean Square F Sig.

1 Regression 4,334E11 3 1,445E11 178,773 ,000a

Residual 8,890E9 11 8,082E8

Total 4,423E11 14

a. Predictors: (Constant), Harga Domestik Jagung, Luas Panen Jagung, Pendapatan

Coefficientsa

Model Unstandardized Coefficients

Standardized

Coefficients t Sig. Correlations Collinearity Statistics

B Std. Error Beta Zero-order Partial Part Tolerance VIF 1 (Constant) -146060,124 36563,667 -3,995 ,002

Pendapatan ,020 ,005 ,490 4,281 ,001 ,958 ,791 ,183 ,140 7,158