LAMPIRAN xvi
Lampiran 1. Peta Desa Sukasari Kaler pada Tahun 2011 Sumber : Profil Desa Sukasari Kaler (2011) 95
Lampiran 2. Karakteristik Petani Responden pada Tahun 2011 No. Nama Responden Umur Petani (tahun) Lama Pendidikan (tahun) Pengalaman Usahatani (tahun) Jumlah Tanggungan Keluarga Pengusahaan Lahan (hektar) Status Lahan Kelompok Tani 1 Jaja 50 6 30 2 0,06 Pemilik Liang Julang 2 Nursa 65 6 31 3 0,07 Penyewa Mengger 3 Nata 67 9 47 3 0,10 Pemilik Cilayur 4 Karta 42 3 10 3 0,10 Pemilik Mengger 5 Jai 55 12 5 3 0,05 Pemilik Pakuwon 6 Elon 57 6 35 5 0,05 Penyewa Cilayur 7 Jalal 58 6 20 2 0,06 Pemilik Pakuwon 8 Uju Julani 43 6 21 5 0,17 Pemilik Pakuwon 9 Yusuf 54 6 35 4 0,13 Pemilik Pakuwon 10 Salim 55 6 20 4 0,04 Pemilik Pakuwon 11 Tohidi 55 6 30 4 0,05 Pemilik Liang Julang 12 Momon 42 6 10 4 0,13 Pemilik Cilayur 13 Emed 61 6 38 2 0,05 Pemilik Sukasari Utara 14 Komar 38 6 15 3 0,06 Pemilik Sukasari Utara 15 Nurdin 50 6 10 2 0,13 Pemilik Sukasari Utara 16 Jaong 50 6 25 1 0,06 Pemilik Sukasari Utara 17 Dirja 65 6 31 3 0,06 Pemilik Sukasari Utara 18 Iyud 42 6 20 2 0,06 Penyewa Sukasari Utara 19 Waryono 66 6 46 6 0,06 Penyewa Sukasari Utara 20 Kuswana 60 6 40 1 0,17 Penyewa Liang Julang 96
21 Musa 62 6 41 3 0,18 Pemilik Pakuwon 22 Mugni 63 6 46 4 0,09 Pemilik Mengger 23 Diding 50 3 15 5 0,05 Pemilik Pakuwon 24 Rohadi 59 6 31 4 0,02 Pemilik Mengger 25 Suhendi 65 6 46 3 0,09 Pemilik Mengger 26 Darjo 69 6 49 4 0,08 Pemilik Mengger 27 Atmo 65 6 31 4 0,03 Pemilik Mengger 28 Ibad 36 9 10 3 0,13 Pemilik Cilayur 29 Danco 52 6 20 3 0,07 Pemilik Cilayur 30 Warta 66 6 45 3 0,06 Pemilik Sukasari Utara 97
Lampiran 3. Penyusutan Peralatan Usahatani Bawang Merah Tahun 2010 Penyusutan Peralatan Usahatanai Bawang Merah Varietas Sumenep Penyusutan Umur Penyusutan Harga Jumlah per Musim Peralatan Ekonomis Nilai per Tahun (Buah) Tanam (Tahun) Cangkul 51.315,79 2,16 3,84 110.734,07 28.821.20 9.607,07 Parang 23.684,21 1,37 3,84 324.09,97 8.435.47 2.811,82 Sabit 19.447,37 1,37 3,74 266.12,19 7.121.57 2.373,86 Kored 22.894,74 1,79 3,74 409.69,53 10.963.68 3.654,56 Pisau 6.473,68 3,26 2,37 211.24,65 8.919.30 2.973,10 Tangki Obat 318.526,32 1,11 10,53 352.055,40 33.445.26 11.148,42 Terpal 65.263,16 2,53 2,84 164.875,35 58.011.70 19.337,23 Garpu 53.421,05 1,11 3,16 59.044,32 18.697.37 6.232,46 Ember 6.289,47 2,11 1,00 13.241,00 13.241.00 4.413,67 Dingkul 9.736,84 1,53 0,95 14.861,50 15.687.13 5.229,04 Total 203.343,68 67.781,22 Penyusutan Peralatan Usahatanai Bawang Merah Varietas Balikaret Peralatan Harga Jumlah (Buah) Umur Ekonomis (Tahun) Nilai Penyusutan per Tahun Penyusutan per Musim Tanam Cangkul 50.909,09 2,55 3,00 129.586,78 43.195,59 10.798,90 Parang 24.545,45 1,64 3,55 40.165,29 11.328,67 2.832,17 Sabit 19.090,91 1,55 3,27 29.504,13 9.015,15 2.253,79 Kored 21.363,64 2,55 3,82 54.380,17 14.242,42 3.560,61 Pisau 4.636,36 3,45 2,36 16.016,53 6.776,22 1.694,06 Tangki Obat 327.272,73 1,27 10,45 416.528,93 39.841,90 9.960,47 Terpal 65.909,09 4,45 2,36 293.595,04 124.213,29 31.053,32 Garpu 60.000,00 1,18 4,36 70.909,09 16.250,00 4.062,50 Ember 3.318,18 1,55 0,64 5.128,10 8.058,44 2.014,61 Dingkul 5.181,82 1,27 0,64 6.595,04 10.363,64 2.590,91 Total 283.285,04 70.821,33 98
Lampiran 4. Input Model Produksi Bawang Merah Tahun 2010 No Nama Responden Produksi (Kg) Lahan (Ha) Bibit (Kg) Tenaga Kerja (HOK) Pupuk N (Kg) Pupuk P (Kg) Pupuk K (Kg) Pestisida Cair (Lt) Pestisida Padat (Lt) Pupuk Kandang (Kg) 1 Jaja 835,000 0,063 62,000 65.619 13,688 4,576 5,626 0,375 0,751 562,500 50 6 30 1 1 1 2 Nata 1.028,000 0,101 125,000 86.630 28,500 17,941 4,141 0,720 2,401 900,000 67 9 47 1 1 1 3 Karta 800,000 0,101 66,000 43.860 4,800 3,661 8,101 1,320 0,301 270,000 42 6 10 1 1 1 4 Nursa 1.012,000 0,070 70,000 71.920 18,400 0,001 0,001 0,600 0,751 450,000 65 6 31 1 0 1 5 Ja'i 1.012,000 0,050 35,000 38.717 13,300 9,101 4,501 1,250 2,251 240,000 55 12 5 1 1 1 6 Elon 115,000 0,053 50,000 56.140 12,510 2,701 2,701 2,160 0,601 720,000 57 6 35 1 0 1 7 Jalal 574,000 0,060 100,000 55.929 9,393 4,894 1,608 1,036 1,430 321,429 58 6 20 1 1 1 8 Uju Julani 1.045,000 0,168 103,000 122.730 30,750 23,001 6,001 1,750 0,701 1.050,000 43 6 21 1 1 1 9 Yusuf 2.554,000 0,125 254,000 91.006 43,714 4,287 12,858 1,286 1,787 857,143 54 6 35 1 1 1 10 Salim 606,000 0,042 40,000 76.580 13,400 6,901 12,001 1,350 1,001 450,000 55 6 20 1 1 1 11 Tohidi 952,000 0,050 70,000 66.670 17,820 8,521 1,621 1,200 1,201 360,000 55 6 30 1 1 1 12 Momon 1.500,000 0,125 75,000 83.460 21,736 11,465 8,037 0,857 0,858 857,143 42 6 10 1 1 1 13 Emed 460,000 0,045 50,000 36.902 14,571 4,858 5,358 1,500 0,537 192,857 61 6 38 1 1 1 14 Komar 815,500 0,056 70,500 50.563 28,350 9,101 4,501 2,200 1,501 450,000 38 6 15 1 1 1 15 Nurdin 1.434,000 0,131 110,000 80.825 7,875 8,626 0,001 0,900 0,376 900,000 50 6 10 1 1 1 16 Jaong 518,000 0,060 172,000 52.393 32,857 9,858 0,001 1,929 0,858 428,571 50 6 25 1 1 1 17 Dirja 1.035,000 0,060 162,000 66.057 9,143 10,930 3,215 1,286 0,715 428,571 65 6 31 1 1 1 18 Iyud 919,000 0,060 75,000 77.845 22,964 3,822 2,680 1,679 0,787 428,571 42 6 20 1 0 1 19 Waryono 1.140,000 0,063 50,000 69.357 12,750 12,101 7,501 3,250 3,501 300,000 66 6 46 1 0 1 20 Musa 4.024,000 0,175 500,000 105.678 45,200 32,201 0,001 1,400 0,001 1.500,000 62 6 41 1 1 0 21 Kuswana 2.030,000 0,168 310,000 79.875 15,000 15,001 15,001 1,700 1,001 1.200,000 60 6 40 1 0 0 Umur (Thn) Pendi dikan (Thn) Penga laman (Thn) Penyu luhan Status Lahan 99 Bibit
22 Mugni 1.560,000 0,091 500,000 72.100 65,600 35,001 12,001 3,600 1,501 450,000 63 6 46 1 1 0 23 Diding 1.300,000 0,050 130,000 51.682 14,930 6,851 9,451 0,600 0,751 450,000 50 6 15 1 1 0 24 Rohadi 405,000 0,023 85,000 17.355 16,033 6,534 2,401 2,600 1,668 400,000 59 6 31 1 1 0 25 Darjo 1.515,000 0,084 255,000 53.000 13,200 13,801 18,001 1,350 0,501 510,000 69 6 49 0 1 0 26 Suhendi 1.730,000 0,088 170,000 44.750 21,900 6,001 6,001 1,450 2,001 450,000 65 6 46 1 1 0 27 Atmo 2.035,000 0,030 250,000 39.375 10,964 2,144 2,144 1,143 1,215 214,286 65 6 31 1 1 0 28 Ibad 2.000,000 0,125 175,000 62.613 13,214 9,287 24,644 3,429 2,858 1.071,429 36 9 10 1 1 0 29 Danco 2.510,000 0,066 205,000 35.588 9,225 1,689 1,689 1,050 3,376 337,500 52 6 20 1 1 0 30 Warta 850,000 0,056 150,000 37.344 35,613 14,840 0,001 0,806 0,324 387,097 66 6 45 0 1 0 Average 1.277,120 0,081 148,983 63,085 20,580 9,990 6,060 1,526 1,250 571,237 55,400 6,400 28,433 0,933 0,833 0,633 Min 115,000 0,023 35,000 17,355 4,800 0,001 0,001 0,375 0,001 192,857 36,000 6,000 5,000 0,000 0,000 0,000 Max 4.024,000 0,175 500,000 122,730 65,600 35,001 24,644 3,600 3,501 1.500,000 69,000 12,000 49,009 1,000 1,000 1,000 100
Lampiran 5. Output Minitab Model Produksi Bawang Merah Tahun 2010 Regression Analysis: Ln Y versus Ln L, Ln B,... The regression equation is Ln Y = 8.05 + 0.665 Ln L + 0.592 Ln B + 0.131 Ln TK - 0.001 Ln N - 0.0158 Ln P + 0.0268 Ln K - 0.267 Ln Pc + 0.0073 Ln Pd - 0.416 Ln Pk Predictor Coef SE Coef T P VIF Constant 8.049 3.133 2.57 0.018 Ln L 0.6648 0.3645 1.82 0.083 3.6 Ln B 0.5919 0.1714 3.45 0.003 1.6 Ln TK 0.1308 0.3990 0.33 0.746 2.8 Ln N -0.0008 0.2062-0.00 0.997 1.6 Ln P -0.01578 0.06491-0.24 0.810 1.5 Ln K 0.02682 0.03889 0.69 0.498 1.9 Ln Pc -0.2669 0.2055-1.30 0.209 1.3 Ln Pd 0.00733 0.08877 0.08 0.935 1.8 Ln Pk -0.4155 0.3037-1.37 0.186 2.8 S = 0.513731 R-Sq = 60.5% R-Sq(adj) = 42.8% PRESS = 22.7065 R-Sq(pred) = 0.00% Analysis of Variance Source DF SS MS F P Regression 9 8.0922 0.8991 3.41 0.011 Residual Error 20 5.2784 0.2639 Total 29 13.3706 Source DF Seq SS Ln L 1 3.9015 Ln B 1 2.9198 Ln TK 1 0.0026 Ln N 1 0.1402 Ln P 1 0.0632 Ln K 1 0.1325 Ln Pc 1 0.4266 Ln Pd 1 0.0117 Ln Pk 1 0.4941 Unusual Observations Obs Ln L Ln Y Fit SE Fit Residual St Resid 6-2.95 4.7449 5.9982 0.2876-1.2533-2.94R 20-1.74 8.3000 7.7560 0.4701 0.5440 2.62R R denotes an observation with a large standardized residual. Durbin-Watson statistic = 1.58594 101
Lampiran 6. Output Frontier Model Produksi Bawang Merah Tahun 2010 Output from the program FRONTIER (Version 4.1c) instruction file = terminal data file = bm.dta Tech. Eff. Effects Frontier (see B&C 1993) The model is a production function The dependent variable is logged the ols estimates are : coefficient standard-error t-ratio beta 0 0.80492981E+01 0.31331594E+01 0.25690676E+01 beta 1 0.66480372E+00 0.36452507E+00 0.18237531E+01 beta 2 0.59186134E+00 0.17138074E+00 0.34534880E+01 beta 3 0.13080117E+00 0.39900633E+00 0.32781728E+00 beta 4-0.77789867E-03 0.20620430E+00-0.37724658E-02 beta 5-0.15777964E-01 0.64914820E-01-0.24305643E+00 beta 6 0.26817620E-01 0.38885174E-01 0.68966183E+00 beta 7-0.26685702E+00 0.20548085E+00-0.12986953E+01 beta 8 0.73289055E-02 0.88772987E-01 0.82557834E-01 beta 9-0.41554076E+00 0.30371233E+00-0.13682051E+01 sigma-squared 0.26391913E+00 log likelihood function = -0.16504490E+02 the estimates after the grid search were : beta 0 0.85681902E+01 beta 1 0.66480372E+00 beta 2 0.59186134E+00 beta 3 0.13080117E+00 beta 4-0.77789867E-03 beta 5-0.15777964E-01 beta 6 0.26817620E-01 beta 7-0.26685702E+00 beta 8 0.73289055E-02 beta 9-0.41554076E+00 delta 0 0.00000000E+00 delta 1 0.00000000E+00 delta 2 0.00000000E+00 delta 3 0.00000000E+00 delta 4 0.00000000E+00 delta 5 0.00000000E+00 delta 6 0.00000000E+00 sigma-squared 0.44519510E+00 gamma 0.95000000E+00 iteration = 0 func evals = 20 llf = -0.14544038E+02 0.85681902E+01 0.66480372E+00 0.59186134E+00 0.13080117E+00-0.77789867E-03-0.15777964E-01 0.26817620E-01-0.26685702E+00 0.73289055E-02-0.41554076E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.44519510E+00 0.95000000E+00 102
gradient step iteration = 5 func evals = 43 llf = -0.12557355E+02 0.85680182E+01 0.66629342E+00 0.58778636E+00 0.12810203E+00-0.16982990E-02 0.18112356E-01 0.28554429E-01-0.23845670E+00-0.47134511E-02-0.42494166E+00-0.42018406E-03-0.19536034E-01-0.17037869E-01 0.38960628E-01-0.12110899E-02-0.24913606E-02 0.88613352E-02 0.44039443E+00 0.96902679E+00 iteration = 10 func evals = 73 llf = -0.10976060E+02 0.85612449E+01 0.63022891E+00 0.60197234E+00 0.47645497E-01 0.17202931E-01 0.25664831E-01 0.86795951E-02-0.11704156E+00 0.16504206E-01-0.41103242E+00-0.13563850E-02-0.61378561E-02-0.10457697E+00 0.35855055E-01-0.12082073E-01-0.22870654E-01 0.12233554E+00 0.35464326E+00 0.98667121E+00 iteration = 15 func evals = 95 llf = -0.91004867E+01 0.85986902E+01 0.58701858E+00 0.56732465E+00 0.15237119E+00-0.14485033E+00 0.21719299E-01 0.92440710E-02-0.11108561E+00-0.12184093E-01-0.40710062E+00 0.40867787E-01 0.18086622E-01-0.30993835E+00 0.16414546E-01-0.16366867E+00 0.27070673E-02 0.86572968E+00 0.37583055E+00 0.99173071E+00 iteration = 20 func evals = 147 llf = -0.65590515E+01 0.10808367E+02 0.82137193E+00 0.52928562E+00 0.49531653E-01-0.14716974E+00-0.72181481E-02 0.25386644E-01-0.82385487E-01-0.55548007E-01-0.56701827E+00 0.81703357E+00 0.97829061E-02-0.38529023E+00 0.27692110E-01-0.12133226E+01-0.28055497E+00 0.14437128E+01 0.50776654E+00 0.99881869E+00 iteration = 25 func evals = 238 llf = -0.38342299E+01 0.13249536E+02 0.10937590E+01 0.51864209E+00 0.65565351E-01-0.22385435E+00-0.87201744E-01 0.75521994E-01-0.37504557E-01-0.14289631E+00-0.79624407E+00 0.22583723E+01 0.13023644E-01-0.69160461E+00 0.23246916E-01-0.13078358E+01-0.10634819E+01 0.20642415E+01 0.72723657E+00 0.99967188E+00 iteration = 30 func evals = 485 llf = -0.22806585E+01 0.14176802E+02 0.11961378E+01 0.53248685E+00 0.26615057E-01-0.17751063E+00-0.10461387E+00 0.63389182E-01 0.19076298E-01-0.13115236E+00-0.90678604E+00 0.30600183E+01 0.15828162E-01-0.10189204E+01 0.30871148E-01-0.12770963E+01-0.83445886E+00 0.24702425E+01 0.92291624E+00 0.99998808E+00 iteration = 35 func evals = 532 llf = -0.21932815E+01 0.14232993E+02 0.12024483E+01 0.53382034E+00 0.23654150E-01-0.17293356E+00-0.10554087E+00 0.62091763E-01 0.24096469E-01-0.12966897E+00-0.91436105E+00 0.31178979E+01 0.16056004E-01-0.10456067E+01 0.31559982E-01-0.12718123E+01-0.80540117E+00 0.24995910E+01 0.93872274E+00 0.99998729E+00 the final mle estimates are : coefficient standard-error t-ratio beta 0 0.14232993E+02 0.42251371E+00 0.33686465E+02 beta 1 0.12024483E+01 0.44352400E-01 0.27111235E+02 beta 2 0.53382034E+00 0.22129630E-01 0.24122426E+02 beta 3 0.23654150E-01 0.36209208E-01 0.65326340E+00 beta 4-0.17293356E+00 0.40388408E-01-0.42817623E+01 beta 5-0.10554087E+00 0.26105678E-01-0.40428318E+01 beta 6 0.62091763E-01 0.10378252E-01 0.59828729E+01 beta 7 0.24096469E-01 0.35499716E-01 0.67877922E+00 beta 8-0.12966897E+00 0.24672155E-01-0.52556810E+01 103
beta 9-0.91436105E+00 0.32153102E-01-0.28437725E+02 delta 0 0.31178979E+01 0.11622002E+01 0.26827547E+01 delta 1 0.16056004E-01 0.36865947E-01 0.43552397E+00 delta 2-0.10456067E+01 0.38941842E+00-0.26850468E+01 delta 3 0.31559982E-01 0.31549276E-01 0.10003394E+01 delta 4-0.12718123E+01 0.88043794E+00-0.14445224E+01 delta 5-0.80540117E+00 0.75747364E+00-0.10632729E+01 delta 6 0.24995910E+01 0.59904142E+00 0.41726515E+01 sigma-squared 0.93872274E+00 0.22190920E+00 0.42302110E+01 gamma 0.99998729E+00 0.31592577E-04 0.31652603E+05 log likelihood function = -0.21932926E+01 LR test of the one-sided error = 0.28622395E+02 with number of restrictions = 8 [note that this statistic has a mixed chi-square distribution] number of iterations = 35 (maximum number of iterations set at : 100) number of cross-sections = 30 number of time periods = 1 total number of observations = 30 thus there are: 0 obsns not in the panel covariance matrix : 0.17851784E+00 0.17951872E-01-0.16542677E-02-0.12095162E-01-0.74643577E-02-0.69856055E-02 0.25980573E-02 0.83127850E-02-0.83254014E-02-0.70472483E-02 0.52980905E-01 0.10305607E-02 0.62335496E-02-0.20757176E-02-0.60579904E-01-0.96062271E-01 0.10112623E-01 0.66576448E-02 0.85863139E-06 0.17951872E-01 0.19671353E-02-0.11231868E-03-0.12270472E-02-0.72208800E-03-0.67163076E-03 0.24912834E-03 0.93417060E-03-0.78221672E-03-0.68279060E-03 0.36323675E-02 0.63131462E-05 0.22961372E-02-0.18150218E-03-0.68309530E-02-0.12344537E-01-0.87668272E-03 0.56470329E-03 0.69433647E-08-0.16542677E-02-0.11231868E-03 0.48972051E-03 0.24060263E-04-0.26261179E-03 0.41387959E-03 0.23327076E-04-0.29452217E-03 0.55878203E-04-0.13773663E-03-0.59948513E-02-0.11819899E-05 0.28523437E-02-0.10730267E-03-0.21978139E-02-0.15233962E-02-0.41275968E-02-0.16916451E-02-0.87839730E-07-0.12095162E-01-0.12270472E-02 0.24060263E-04 0.13111067E-02 0.92006151E-03 0.35582695E-03-0.29052343E-03-0.23872748E-04 0.73741595E-03 0.39925649E-04-0.32426334E-03-0.13682574E-04-0.13898387E-02 0.15672218E-03 0.42996332E-02 0.40065531E-02 0.68431186E-03-0.10216992E-02 0.11445572E-06-0.74643577E-02-0.72208800E-03-0.26261179E-03 0.92006151E-03 0.16312235E-02-0.50239475E-04-0.26761433E-03 0.27560862E-03 0.54773013E-03-0.24776780E-03 0.70864823E-02-0.15969913E-03-0.44554987E-02 0.38673586E-03 0.81429699E-02 0.83800093E-02 0.40447113E-02 0.16253857E-02 0.33392195E-07-0.69856055E-02-0.67163076E-03 0.41387959E-03 0.35582695E-03-0.50239475E-04 0.68150642E-03-0.51635006E-04-0.49422063E-03 0.24363571E-03 0.14788965E-03-0.76943103E-02-0.80427196E-04 0.27480932E-02-0.13554894E-05-0.56761693E-03 0.24686192E-02-0.43698648E-02-0.17029003E-02-0.79710181E-07 0.25980573E-02 0.24912834E-03 0.23327076E-04-0.29052343E-03-0.26761433E-03 104
-0.51635006E-04 0.10770812E-03-0.11153998E-04-0.21149592E-03-0.95675877E-05-0.71479861E-03 0.81762497E-05 0.75787508E-03-0.57097656E-04-0.12237925E-02-0.16162054E-02-0.77338472E-03-0.15710555E-03-0.12547067E-07 0.83127850E-02 0.93417060E-03-0.29452217E-03-0.23872748E-04 0.27560862E-03-0.49422063E-03-0.11153998E-04 0.12602298E-02-0.17955493E-03-0.74742037E-03 0.69888460E-02 0.74245671E-05-0.44454145E-03-0.13039402E-05-0.24538402E-02-0.82249062E-02 0.16564607E-02 0.36048791E-03 0.16994065E-06-0.83254014E-02-0.78221672E-03 0.55878203E-04 0.73741595E-03 0.54773013E-03 0.24363571E-03-0.21149592E-03-0.17955493E-03 0.60871521E-03 0.18029962E-03-0.13477249E-02-0.59320129E-04-0.84007148E-03 0.14830870E-03 0.39735122E-02 0.39733473E-02 0.24173176E-03-0.74963739E-04 0.13975292E-07-0.70472483E-02-0.68279060E-03-0.13773663E-03 0.39925649E-04-0.24776780E-03 0.14788965E-03-0.95675877E-05-0.74742037E-03 0.18029962E-03 0.10338220E-02-0.37365117E-02-0.61622240E-04 0.16751070E-03 0.55689232E-04 0.20716351E-02 0.42195459E-02-0.17511838E-03 0.81128009E-03-0.14811687E-06 0.52980905E-01 0.36323675E-02-0.59948513E-02-0.32426334E-03 0.70864823E-02-0.76943103E-02-0.71479861E-03 0.69888460E-02-0.13477249E-02-0.37365117E-02 0.13507092E+01-0.75599865E-02-0.22814044E+00 0.55039973E-02-0.11042265E-01 0.10844758E+00 0.16358791E+00 0.87203502E-01 0.41696986E-06 0.10305607E-02 0.63131462E-05-0.11819899E-05-0.13682574E-04-0.15969913E-03-0.80427196E-04 0.81762497E-05 0.74245671E-05-0.59320129E-04-0.61622240E-04-0.75599865E-02 0.13590980E-02-0.57561309E-02-0.94752513E-03-0.71800307E-02-0.84924827E-03 0.29418934E-02 0.55032617E-03 0.24433126E-07 0.62335496E-02 0.22961372E-02 0.28523437E-02-0.13898387E-02-0.44554987E-02 0.27480932E-02 0.75787508E-03-0.44454145E-03-0.84007148E-03 0.16751070E-03-0.22814044E+00-0.57561309E-02 0.15164670E+00-0.44020940E-04-0.11039669E+00-0.17111448E+00-0.12337855E+00-0.44811915E-01 0.32192900E-06-0.20757176E-02-0.18150218E-03-0.10730267E-03 0.15672218E-03 0.38673586E-03-0.13554894E-05-0.57097656E-04-0.13039402E-05 0.14830870E-03 0.55689232E-04 0.55039973E-02-0.94752513E-03-0.44020940E-04 0.99535679E-03 0.98265792E-02 0.73128475E-02 0.32994083E-02 0.84436925E-03 0.28294589E-08-0.60579904E-01-0.68309530E-02-0.21978139E-02 0.42996332E-02 0.81429699E-02-0.56761693E-03-0.12237925E-02-0.24538402E-02 0.39735122E-02 0.20716351E-02-0.11042265E-01-0.71800307E-02-0.11039669E+00 0.98265792E-02 0.77517097E+00 0.24236877E+00-0.11339031E+00 0.76758721E-03-0.16752609E-06-0.96062271E-01-0.12344537E-01-0.15233962E-02 0.40065531E-02 0.83800093E-02 0.24686192E-02-0.16162054E-02-0.82249062E-02 0.39733473E-02 0.42195459E-02 0.10844758E+00-0.84924827E-03-0.17111448E+00 0.73128475E-02 0.24236877E+00 0.57376631E+00 0.15467310E+00 0.23852264E-01-0.34977404E-05 0.10112623E-01-0.87668272E-03-0.41275968E-02 0.68431186E-03 0.40447113E-02-0.43698648E-02-0.77338472E-03 0.16564607E-02 0.24173176E-03-0.17511838E-03 0.16358791E+00 0.29418934E-02-0.12337855E+00 0.32994083E-02-0.11339031E+00 0.15467310E+00 0.35885062E+00 0.51178746E-01-0.78475132E-07 0.66576448E-02 0.56470329E-03-0.16916451E-02-0.10216992E-02 0.16253857E-02-0.17029003E-02-0.15710555E-03 0.36048791E-03-0.74963739E-04 0.81128009E-03 0.87203502E-01 0.55032617E-03-0.44811915E-01 0.84436925E-03 0.76758721E-03 105
0.23852264E-01 0.51178746E-01 0.49243694E-01-0.94917513E-06 0.85863139E-06 0.69433647E-08-0.87839730E-07 0.11445572E-06 0.33392195E-07-0.79710181E-07-0.12547067E-07 0.16994065E-06 0.13975292E-07-0.14811687E-06 0.41696986E-06 0.24433126E-07 0.32192900E-06 0.28294589E-08-0.16752609E-06-0.34977404E-05-0.78475132E-07-0.94917513E-06 0.99809089E-09 technical efficiency estimates : firm year eff.-est. 1 1 0.81789922E+00 2 1 0.91917367E+00 3 1 0.15256069E+00 4 1 0.48675380E+00 5 1 0.99807330E+00 6 1 0.17964789E+00 7 1 0.30073964E+00 8 1 0.54291519E+00 9 1 0.94456880E+00 10 1 0.99126959E+00 11 1 0.94796600E+00 12 1 0.99087141E+00 13 1 0.27260099E+00 14 1 0.91396254E+00 15 1 0.97303204E+00 16 1 0.51614515E+00 17 1 0.51257990E+00 18 1 0.73027153E+00 19 1 0.87734145E+00 20 1 0.97307313E+00 21 1 0.55880885E+00 22 1 0.42115289E+00 23 1 0.94182685E+00 24 1 0.99501191E+00 25 1 0.43346249E+00 26 1 0.66991255E+00 27 1 0.94589865E+00 28 1 0.98204630E+00 29 1 0.84443525E+00 30 1 0.86631131E+00 mean efficiency = 0.72334377E+00 106
Lampiran 7. Perincian Usahatani Varietas Sumenep Tahun 2010 No. Nama Responden Pendapatan Bibit TK Laki-laki TK Wanita (Rp Pupuk Pestisida Pupuk Kandang Penyusutan Alat Pajak Pengganti Lahan 1 Jaja 7.515.000 1.085.000 1.960.000 440.000 138.750 375.000 225.000 24.111 1.750 243.978 2 Nursa 12.850.000 2.187.500 2.082.000 430.750 243.600 338.800 360.000 73.333 3.200 390.366 3 Nata 5.600.000 1.584.000 900.250 392.460 87.000 228.900 108.000 109.500 1.400 390.366 4 Karta 9.614.000 1.750.000 1.615.000 500.000 72.000 266.500 150.000 79.111 2.333 271.087 5 Jai 5.060.000 840.000 605.000 447.083 167.000 523.000 80.000 32.333 2.333 193.634 6 Elon 345.000 750.000 1.386.000 284.000 108.000 429.600 288.000 108.844 2.000 203.315 7 Jalal 5.740.000 1.000.000 1.058.571 508.286 93.929 269.286 128.571 37.556 2.381 232.360 8 Uju Julani 7.837.500 1.545.000 2.254.500 697.500 304.500 603.000 420.000 78.444 5.000 650.609 9 Yusuf 21.709.000 3.048.000 1.526.786 1.041.071 270.000 391.429 342.857 92.278 3.333 484.084 10 Salim 9.696.000 800.000 1.050.000 1.188.000 189.500 202.000 180.000 76.278 2.333 162.652 11 Tohidi 8.568.000 1.050.000 1.473.000 376.500 146.400 384.000 144.000 60.556 1.400 195.183 12 Momon 18.000.000 1.275.000 1.762.500 787.619 230.143 294.286 342.857 51.111 2.857 484.084 13 Emed 5.520.000 1.200.000 330.357 924.643 129.643 176.429 77.143 54.322 1.667 174.270 14 Komar 20.387.500 1.762.500 945.000 408.500 211.000 345.000 180.000 61.611 5.000 216.870 15 Nurdin 14.340.000 1.320.000 1.752.750 616.875 110.625 84.750 360.000 54.722 3.750 508.289 16 Jaong 5.698.000 2.580.000 1.142.857 335.357 189.286 482.143 171.429 95.833 1.667 232.360 17 Dirja 10.867.500 1.620.000 915.179 635.357 125.000 352.143 171.429 93.167 1.667 232.360 18 Iyud 9.190.000 750.000 1.460.000 637.500 157.500 178.571 171.429 78.833 2.381 232.360 19 Waryono 1.824.000 300.000 1.150.000 753.433 192.500 332.000 120.000 111.139 3.333 243.978 Rata-rata 10.256.710,53 1.391.947,37 1.335.250,00 600.259,74 166.651,32 329.254,51 211.616,54 72.267,54 2.620,30 302.221,48 107
Lampiran 8. Perincian Usahatani Varietas Balikaret Tahun 2010 No. Nama Responden Pendapatan Bibit TK Laki-laki TK Wanita Pupuk Pestisida Pupuk Kandang Penyusutan Alat Pajak Pengganti Lahan 1 Kuswana 20.120.000 5.000.000 2.435.000 1.322.767 399.000 602.000 600.000 306.500 3.750 508.289 2 Musa 7.308.000 1.860.000 1.800.000 1.162.500 250.000 653.000 480.000 72.333 3.500 487.957 3 Mugni 14.040.000 10.000.000 1.458.333 810.000 569.000 521.000 180.000 131.000 1.875 264.310 4 Diding 7.410.000 1.690.000 1.132.083 827.567 198.900 266.500 150.000 237.333 1.750 145.225 5 Rohadi 4.455.000 680.000 480.000 153.000 139.667 460.667 133.333 214.700 1.167 67.772 6 Suhendi 4.545.000 1.275.000 1.697.500 633.333 274.500 125.000 204.000 347.000 1.750 243.978 7 Darjo 15.570.000 850.000 1.125.000 538.333 171.000 377.000 150.000 675.000 1.750 254.144 8 Atmo 7.122.500 7.500.000 800.000 738.095 45.357 382.143 85.714 433.167 1.250 87.135 9 Ibad 20.000.000 2.100.000 1.867.262 1.105.357 122.857 647.143 428.571 640.667 2.143 363.063 10 Danco 8.785.000 1.845.000 603.125 695.000 40.500 726.000 135.000 265.500 1.125 190.608 11 Warta 3.825.000 1.200.000 688.172 657.419 212.258 118.065 154.839 133.167 1.371 162.652 Rata-rata 10.289.136,36 3.090.909,09 1.280.588,69 785.761,07 220.276,27 443.501,54 245.587,07 314.215,15 1.948,23 252.284,94 108
Lampiran 9. Pendapatan Usahatani Bawang Merah Varietas Sumenep per Hektar per Musim Tanam pada Tahun 2010 No Keterangan Jumlah A Penerimaan Tunai Harga per Satuan Nilai 1 Bawang merah 12.479,53 10.710,53 133.662.357,65 B Total Penerimaan Tunai 133.662.357,65 Penerimaan Non Tunai 1 Konsumsi 56,94 10.710,53 609.904,97 2 Cadangan Bibit 73,10 10.710,53 782.933,21 3 Untuk Pembayaran Panen (Catu) 275,61 10.710,53 2.951.935,58 Total Penerimaan Non Tunai 12.885,19 4.344.773,77 C Total Penerimaan 138.007.131,41 % Atas D Tunai 1 Bibit Bawang Merah 1.242,25 16.526,32 20.529.888,27 36,36 2 Pupuk Kandang 7.054,01 392,98 2.772.102,19 4,91 3 Pupuk Urea 390,00 1.668,42 650.684,21 1,15 Pupuk Za 251,67 1.426,32 358.962,10 0,64 Pupuk TSP 174,31 2.173,68 378.896,58 0,67 Pupuk Phonska 215,08 2.000,00 430.158,73 0,76 Pupuk KCl 61,70 1.763,16 108.779,62 0,19 3 Pestisida Cair 25,31 87.125,00 2.205.074,07 3,90 Pestisida Padat 16,70 45.007,52 751.674,54 1,33 5 TKLK Laki-laki 230,77 30.687,76 7.081.893,92 12,54 Wanita 297,05 17.700,39 5.257.951,79 9,31 6 Pajak Lahan 1,00 36.676,41 36.676,41 0,06 Total Tunai 40.562.742,43 71,83 E Non Tunai 1 TKDK Laki-laki 237,04 30.687,76 7.274.082,47 12,88 Wanita 94,45 17.700,39 1.671.736,99 2,96 2 Untuk Pembayaran Panen (Catu) 275,61 10.710,53 2.951.935,58 5,23 3 Sewa Lahan 1,00 3.872.674,52 3.872.674,52 6,86 4 Irigasi 1,00 68.571,43 68.571,43 0,12 5 Penyusutan 1,00 67.781,22 67.781,22 0,12 Total Diperhitungkan 15.906.782,22 28,17 F Total 56.469.524,65 100,00 G Pendapatan Atas Tunai 97.444.388,98 H Pendapatan Atas Total 81.554.749,62 I R/C Atas Tunai 3,40 J R/C Atas Total 2,44 109
Lampiran 10. Pendapatan Usahatani Bawang Merah Varietas Balikaret per Hektar per Musim Tanam pada Tahun 2010 No Keterangan Jumlah A Penerimaan Tunai Harga per Satuan Nilai 1 Bawang merah 23.914,09 6.163,64 147.397.729,54 B Total Penerimaan Tunai 147.397.729,54 Penerimaan Non Tunai 1 Konsumsi 68,18 6.163,64 420.247,93 Cadangan Bibit 343,32 6.163,64 2.116.120,24 Untuk Pembayaran Panen (Catu) 278,43 6.163,64 1.716.171,46 Total Penerimaan Non Tunai 4.252.539,64 C Total Penerimaan 151.650.269,19 % Atas D Tunai 1 Bibit Bawang Merah 3.359,46 11.454,55 38.481.055,31 51,47 2 Pupuk Kandang 7.776,66 381,82 2.969.268,50 3,97 3 Pupuk Urea 488,76 1.827,27 893.099,69 1,19 Pupuk Za 337,06 1.227,27 413.668,15 0,55 Pupuk TSP 254,27 1.518,18 386.020,64 0,52 Pupuk Phonska 277,32 1.409,09 390.772,86 0,52 Pupuk KCl 95,84 2.409,09 230.897,28 0,31 4 Pestisida Cair 37,91 103.325,76 3.916.633,69 5,24 Pestisida Padat 20,43 50.922,08 1.040.115,76 1,39 5 TKLK Laki-laki 244,05 30.175,66 7.364.281,59 9,85 Wanita 367,86 18.605,40 6.844.251,95 9,16 6 Pajak Lahan 1,00 26.284,87 26.284,87 0,04 Total Tunai 62.956.350,29 84,21 E Non Tunai 1 TKDK Laki-laki 184,77 30.175,66 5.575.449,18 7,46 Wanita 79,71 18.605,40 1.483.002,64 1,98 2 Untuk Pembayaran Panen (Catu) 278,43 6.163,64 1.716.171,46 2,30 3 Sewa Lahan 1,00 2.904.505,89 2.904.505,89 3,89 4 Irigasi 1,00 51.428,57 51.428,57 0,07 5 Penyusutan 1,00 70.821,33 70.821,33 0,09 Total Diperhitungkan 11.801.379,07 15,79 F Total 74.757.729,37 100,00 G Pendapatan Atas Tunai 88.693.918,89 H Pendapatan Atas Total 76.892.539,82 I R/C Atas Tunai 2,41 J R/C Atas Total 2,03 110
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