9 Analisis Faktor-Faktor yang Mempengaruhi Produktivitas Kubis di Kecamatan Kabanjahe Kabupaten Karo

12 90.000 45.500 5.000 158 336 285 621 54 13 57.500 30.150 5.000 158 290 225 515 28 14 36.000 20.267 5.000 133 303 250 553 21 15 36.000 18.200 5.000 142 214 188 401 13 16 43.200 24.100 8.000 158 290 225 515 38 17 34.286 17.257 4.286 146 259 204 463 16 18 54.000 30.160 5.000 126 278 240 518 36 19 94.500 52.750 5.000 315 580 300 880 86 20 71.250 37.688 5.000 75 145 113 258 71 21 150.000 75.500 5.000 118 246 206 453 64 22 68.000 40.200 5.000 145 278 213 490 48 23 48.333 20.100 500 158 282 215 497 23 24 42.750 22.625 5.000 116 240 225 465 16 25 24.000 12.100 5.000 142 319 274 592 13 26 57.000 30.200 8.000 92 227 225 452 49 27 54.000 30.150 5.000 212 195 178 372 30 28 57.000 30.250 5.000 137 265 225 490 53 29 54.000 30.167 5.000 158 290 225 515 58 30 57.000 30.250 5.000 158 290 225 515 40 31 57.200 30.200 5.000 164 282 215 497 33 32 54.000 30.125 5.000 150 378 225 603 37 33 60.000 30.188 5.000 158 279 338 616 37 34 57.000 30.200 5.000 158 267 194 461 36 35 60.000 30.250 5.000 158 290 225 515 30 36 57.000 30.200 5.000 158 331 255 586 22 37 40.000 30.167 5.000 158 290 225 515 37 38 57.000 30.150 5.000 158 282 215 497 18 39 58.400 30.200 5.000 158 267 195 462 22 40 54.000 30.200 5.000 158 267 195 462 11 41 54.000 30.250 500 158 290 225 515 23 42 57.000 30.200 5.000 158 290 225 515 23 43 57.000 30.167 500 158 290 225 515 19 44 48.000 30.167 5.000 158 282 215 497 19 45 54.000 30.250 5.000 158 290 225 515 60 46 57.000 30.300 5.000 158 290 225 515 40 47 57.000 30.225 5.000 158 290 225 515 36 48 54.000 30.300 5.000 158 282 215 497 29 49 51.000 30.250 5.000 158 290 225 515 30 50 54.000 30.300 5.000 156 290 225 515 288 Tota l 3.453.919 1.763.55 9 245.4 52 7.971 14.64 3

11.50 9

26.151 2.289 Rata - Rata 69.078,38 35.271,1 8 4.909, 04 159,4 2 292,8 6 230,1 8 532,02 45,18 Universitas Sumatera Utara Lampiran 3 Regression Descriptive Statistics Mean Std. Deviation N Produktivitas kgHa 5.46E4 14642.039 40 Bibit batangHa 2.95E4 7634.695 40 Pupuk Organik kgHa 5148.82 740.802 40 Pupuk N kgHa 149.95 22.548 40 Pupuk P kgHa 278.38 44.128 40 Pupuk K kgHa 221.15 47.562 40 Insektisida ccHa 2062.72 650.079 40 Tenaga Kerja HKOHa 33.25 14.726 40 Correlations Produktivit as kgHa Bibit batangH a Pupuk Organi k kgHa Pupuk N kgH a Pupuk P kgH a Pupuk K kgH a Insektisid a ccHa Tenaga Kerja HKOH a Pearson Correlatio n Produktivit as kgHa 1.000 .966 .064 -.007 .102 .053 -.170 .464 Bibit batangHa .966 1.000 .058 .011 .096 -.007 -.134 .485 Pupuk Organik kgHa .064 .058 1.000 -.076 .131 .242 .556 .280 Pupuk N kgHa -.007 .011 -.076 1.000 .461 .316 -.211 -.160 Pupuk P kgHa .102 .096 .131 .461 1.000 .716 -.118 -.010 Pupuk K kgHa .053 -.007 .242 .316 .716 1.000 -.032 -.038 Universitas Sumatera Utara Insektisida ccHa -.170 -.134 .556 -.211 -.118 -.032 1.000 .085 Tenaga Kerja HKOHa .464 .485 .280 -.160 -.010 -.038 .085 1.000 Sig. 1- tailed Produktivit as kgHa . .000 .347 .484 .266 .372 .147 .001 Bibit batangHa .000 . .362 .474 .277 .484 .205 .001 Pupuk Organik kgHa .347 .362 . .321 .211 .066 .000 .040 Pupuk N kgHa .484 .474 .321 . .001 .023 .096 .162 Pupuk P kgHa .266 .277 .211 .001 . .000 .234 .475 Pupuk K kgHa .372 .484 .066 .023 .000 . .423 .409 Insektisida ccHa .147 .205 .000 .096 .234 .423 . .302 Tenaga Kerja HKOHa .001 .001 .040 .162 .475 .409 .302 . N Produktivit as kgHa 40 40 40 40 40 40 40 40 Bibit batangHa 40 40 40 40 40 40 40 40 Pupuk Organik kgHa 40 40 40 40 40 40 40 40 Pupuk N kgHa 40 40 40 40 40 40 40 40 Pupuk P kgHa 40 40 40 40 40 40 40 40 Pupuk K kgHa 40 40 40 40 40 40 40 40 Universitas Sumatera Utara Insektisida ccHa 40 40 40 40 40 40 40 40 Tenaga Kerja HKOHa 40 40 40 40 40 40 40 40 Variables EnteredRemoved b Model Variables Entered Variables Removed Method 1 Tenaga Kerja HKOHa, Pupuk P kgHa, Insektisida ccHa, Pupuk N kgHa, Bibit batangHa, Pupuk Organik kgHa, Pupuk K kgHa a . Enter a. All requested variables entered. b. Dependent Variable: Produktivitas kgHa 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 .971 a .943 .930 3867.754 .943 75.274 7 32 .000 a. Predictors: Constant, Tenaga Kerja HKOHa, Pupuk P kgHa, Insektisida ccHa, Pupuk N kgHa, Bibit batangHa, Pupuk Organik kgHa, Pupuk K kgHa b. Dependent Variable: Produktivitas kgHa Universitas Sumatera Utara ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression 7.882E9 7 1.126E9 75.274 .000 a Residual 4.787E8 32 1.496E7 Total 8.361E9 39 a. Predictors: Constant, Tenaga Kerja HKOHa, Pupuk P kgHa, Insektisida ccHa, Pupuk N kgHa, Bibit batangHa, Pupuk Organik kgHa, Pupuk K kgHa b. Dependent Variable: Produktivitas kgHa Coefficients a Model Unstandardized Coefficients Standardized Coefficients t Sig. Collinearity Statistics B Std. Error Beta Tolerance VIF 1 Constant 2329.863 6775.258 .344 .733 Bibit batangHa 1.856 .096 .968 19.428 .000 .721 1.387 Pupuk Organik kgHa .553 1.114 .028 .497 .623 .564 1.775 Pupuk N kgHa -22.698 31.895 -.035 -.712 .482 .742 1.348 Pupuk P kgHa -21.309 21.776 -.064 -.979 .335 .415 2.407 Pupuk K kgHa 33.146 19.352 .108 1.713 .096 .453 2.209 Insektisida ccHa -1.501 1.212 -.067 -1.238 .225 .618 1.619 Tenaga Kerja HKOHa -9.908 51.159 -.010 -.194 .848 .676 1.480 a. Dependent Variable: Produktivitas kgHa Universitas Sumatera Utara Collinearity Diagnostics a Mod el Dimensi on Eigenval ue Conditi on Index Variance Proportions Consta nt Bibit batang Ha Pupuk Organ ik kgH a Pupu k N kgH a Pupu k P kgH a Pupu k K kgH a Insektisi da ccHa Tenaga Kerja HKOH a 1 1 7.660 1.000 .00 .00 .00 .00 .00 .00 .00 .00 2 .154 7.055 .00 .02 .00 .01 .00 .01 .01 .51 3 .097 8.895 .00 .04 .00 .01 .01 .01 .40 .00 4 .042 13.552 .00 .63 .00 .00 .01 .10 .02 .34 5 .023 18.443 .04 .24 .00 .30 .00 .28 .03 .06 6 .012 25.467 .06 .02 .58 .16 .04 .00 .53 .06 7 .007 32.217 .04 .03 .01 .37 .82 .47 .00 .00 8 .006 36.248 .85 .03 .41 .17 .12 .13 .01 .01 a. Dependent Variable: Produktivitas kgHa Residuals Statistics a Minimum Maximum Mean Std. Deviation N Predicted Value 23530.47 93971.75 5.46E4 14216.709 40 Std. Predicted Value -2.184 2.771 .000 1.000 40 Standard Error of Predicted Value 685.603 2925.472 1.587E3 695.857 40 Adjusted Predicted Value 23333.13 93319.91 5.45E4 14144.940 40 Residual -1.415E4 5124.741 .000 3503.495 40 Std. Residual -3.659 1.325 .000 .906 40 Stud. Residual -3.887 1.422 .014 .967 40 Deleted Residual -1.597E4 6732.642 125.567 4017.114 40 Stud. Deleted Residual -5.266 1.447 -.026 1.133 40 Mahal. Distance .250 21.337 6.825 6.546 40 Cooks Distance .000 .243 .018 .043 40 Centered Leverage Value .006 .547 .175 .168 40 Universitas Sumatera Utara Residuals Statistics a Minimum Maximum Mean Std. Deviation N Predicted Value 23530.47 93971.75 5.46E4 14216.709 40 Std. Predicted Value -2.184 2.771 .000 1.000 40 Standard Error of Predicted Value 685.603 2925.472 1.587E3 695.857 40 Adjusted Predicted Value 23333.13 93319.91 5.45E4 14144.940 40 Residual -1.415E4 5124.741 .000 3503.495 40 Std. Residual -3.659 1.325 .000 .906 40 Stud. Residual -3.887 1.422 .014 .967 40 Deleted Residual -1.597E4 6732.642 125.567 4017.114 40 Stud. Deleted Residual -5.266 1.447 -.026 1.133 40 Mahal. Distance .250 21.337 6.825 6.546 40 Cooks Distance .000 .243 .018 .043 40 Centered Leverage Value .006 .547 .175 .168 40 a. Dependent Variable: Produktivitas kgHa Charts Universitas Sumatera Utara Universitas Sumatera Utara DAFTAR PUSTAKA Agung, I Gusti Ngurah Agung. N Haidy A Pasay. Sugiharso. 2008. Teori Ekonomi Mikro : Suatu Analisis Produksi Terapan. PT Raja Grafindo Persada. Jakarta. Balai Pegkajian Teknologi Pertanian BPTP Sumatera Utara. 2012. Budidaya Sayuran. BPTP Sumut. Sumatera Utara Badan Pusat Statistik. 2015. Karo Dalam Angka 2015. Sumatera Utara. Kusumaningsih, Riana Dewi. 2010. Analisis Efisiensi Ekonomi Penggunaan Faktor – Faktor Produksi Pada Usahatani Kubis di Kabupaten Karanganyar. Universitas Sebelas Maret. Surakarta Mubyarto. 1989. Pengantar Ekonomi Pertanian. LP3ES. Jakarta. Murdiantoro, Bayu. 2011. Faktor – Faktor Yang Mempengaruhi Produksi Padi Di Desa Pulorejo Kecamatan Winong Kabupaten Pati. Institut Pertanian Bogor. Bogor. Pracoyo, T. K. dan Pracoyo. 2006. Aspek Dasar Ekonomi Mikro. PT Grasindo. Jakarta. Pindyck, R.S. dan Rubinfield. 2008. Mikroekonomi : Jilid 1 Edisi Keenam. PT Indeks. Jakarta. Rahayu, Sri Yayu; Netti Nurlenawati; Endah Fitriyah; Agustriani Ramana Fitriyah; Agustriani Ramana Sidik. 2015. Pengaruh Kombinasi Dosis Pupuk Nitrogen dan Pupuk Kandang Sapi Terhadap Pertumbuhan dan Hasil Tanaman Kubis Brassica oleraceae Var botrytis L. Unsika. Karawang. Rifqie, Ade Suryani. 2008. Analisis Faktor – Faktor Yang Mempengaruhi Produksi Usahatani Kubis Studi Kasus di Desa Cimenyan Kecamatan Cimenyan Kabupaten Bandung. Institut Pertanian Bogor. Bogor. Sinuhaji, N. 2013. Analisis Harga Domestik dan Harga Ekspor Kubis di Singaura terhadap Ekspor Kubis Brassica O. Capitata Dari Kabupaten Karo. Jurnal. Volume: III. No. 01. Hal : 14. Soekartawi. 2003. Agribisnis : Teori dan Aplikasinya. PT Raja Grafindo Persada. Jakarta. Sumpena, Uum. 2012. Budidaya Kubis. Jurnal Badan Penelitian dan Pengembangan Pertanian Kementrian Pertanian. Sunarjono, Hendro. 2015. Bertanam 36 Jenis Sayuran. Penebar Swadaya. Jakarta. Suratiyah, Ken. 2003. Ilmu Usahatani. PT Raja Grafindo Persada. Jakarta. Universitas Sumatera Utara

BAB III METODE PENELITIAN

3.1 Metode Penentuan Daerah Penelitian