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DAFTAR PUSTAKA. Badan Pusat Statistik Berita Resmi Statistik No.47/IX, 1 September Badan Pusat Statistik Jakarta.

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DAFTAR PUSTAKA

Abdulrachman, S., P.Wardana dan H. Sembiring. 2007. Pedoman Bagi Penyuluh Pertanian : Pengelolaan Tanaman Terpadu Padi Sawah. Balai Besar Penelitian Padi, Departemen Pertanian, Jakarta.

Adnyana, M. O. dan K.Kariyasa. 2006. Dampak dan Presepsi Petani terhadap Penerapan Sistem Pengelolaan Tanaman Terpadu Padi Sawah. Jurnal Penelitian Pertanian Tanaman Pangan, 25(1): 21 – 29.

Aigner, D.J., C.A.K. Lovell and P. Schmidt. 1977. Formulation and Estimation of Stochastic Frontier Production Function Model. Journal of Econometrics, 6 (1): 21-37.

Badan Penelitian dan Pengembangan Pertanian. 2004. Laporan Hasil Penelitian Optimalisasi Pemanfaatan Sumberdaya Alam dan Teknologi untuk Pengembangan Sektor Pertanian dalam Pelita VII. Pusat Penelitian Tanah dan Agroklimat, Bogor.

Badan Pusat Statistik. 2007. Berita Resmi Statistik No.47/IX, 1 September 2007. Badan Pusat Statistik Jakarta.

Badan Pusat Statistik Kabupaten Serang. 2007. Serang Dalam Angka 2006. Badan Pusat Statistik, Kabupaten Serang, Serang.

Balai Penelitian Tanaman Padi. 2003. Penelitian Padi menuju Revolusi Hijau Lestari. Pusat Penelitian Dan Pengembangan Tanaman Pangan, Badan Penelitian dan pengembangan Pertanian, Jakarta.

Balai Pengkajian Teknologi Pertanian Jawa Barat. 2002. Pengelolaan Tanaman Dan Sumberdaya Terpadu (PTT) Padi Legowo Membantu Pendapatan Petani Padi. Sinar Tani Edisi 13 – 19 Desember 2006.

Balai Penelitian dan Pengembangan Pertanian,. 2002. Pedoman Umum Kegiatan Percontohan Peningkatan Produktivitas Padi Terpadu. Departemen Pertanian, Jakarta.

Battese, G.E. and Corra. 1977. Prediction of Firm-Level Technical Efficiencies with A Generalized Frontier Production Function and Panel Data. Journal of Econometric, 3(1): 153-169.

Bravo-Ureta, B.E. and A. E. Pinheiro. 1993. Efficiency Analysis of Developing Country Agriculture: A. Review of the Frontier Function Literature. Journal Agricultural and Resources Economics Review, 22(1): 88-101.

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Coelli,T. 1996. A. Guide to Frontier Version 4.1. A Computer Program for Stochastic Frontier Production Function and Cost Function Estimation. Centre For Efficiency and Productivity Analysis. University of New England, Armidale.

Coelli, T., D.S.P. Rao and G.E. Battese. 1998. An Introduction to Efficiency and Productivity Analysis. Kluwer Academic Publishers, Boston.

Daryanto, H.K.S. 2000. Analysis of the Technical Efficiencies of Rice Production in West Java Province, Indonesia. A Stochastic frontier Production Function Approach Ph.D.Thesis University of New England, Armidale. Disti, Citra Varia.2006. Analisis Pendapatan dan Efisiensi Produksi Usahatani

Padi Program Pengelolaan Tanaman dan Sumberdaya Terpadu di Kabupaten Subang, Skripsi Sarjana. Program Studi Manajemen Agribisnis, Institut Pertanian Bogor, Bogor.

Farrell. M.J. 1957. The Measurement of Productive Efficiency. Journal of the Royal Statistics Society, 120(3): 253-290.

Gani, A. 2002. Pengelolaan Tanaman dan Sumberdaya Terpadu. Apresiasi Hasil Penelitian dan Temu Lapang. Pusakanegara, 26 September 2002. Balai Penelitian Tanaman Padi, Sukamandi.

Gujarati, D.N. 1988. Basic Econometrics. McGraw-Hill Book Company, Singapore.

Greene, H. W. 1993. Maximum Likelihood Estimation of Stochastic Frontier Production Models Journal of Economics, 18(2): 285-289.

Harianto. 1989. Analisa Efisensi Usahatani Tembakau Peserta Program Intensifikasi Tembakau Besuki Na-Oogst. Tesis Magister Sains. Program Pascasarjana. Departemen Ilmu-Ilmu Sosial Ekonomi, Fakultas Pertanian, Institut Pertanian Bogor, Bogor.

Jondrow, J., C.A.K. Lovells., I.S.Materow and P. Schmidt. 1982. On The Estimation of Technical Inefficiency in the Stochastic Frontier Production Function Model. Journal of Econometrics 19(2): 233-238.

Kebede, T.A. 2001. Farm Household Technical Efficiency : A Stochastic Frontier Analysis. A Study of Rice Producers in Mardi Watershed in the Western Development Region of Nepal. Master Thesis, Departement of Economics and Social Sciences Agricultural University of Norway, Norwey.

http://www.ub.no/elpub/NORAD/2001/NLH/Thesis01.pdf. Tanggal akses, 6 Januari 2008.

King, R.A. 1980. The Frontier Production Function: A Tool For Improved Decision Making. Journal, Northest Agricultural Economics Council, Fall

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Lau, L.J. and P.A. Yotopoulos. 1971. A Test for Relative Efficiency and Application to Indian Agriculture. The American Economic Review, 61(1): 94-109.

Makarim A.K., Hidayat, Sismiyati, Nasution, Muhadjir, Ningrum, Djazuli dan Murtado. 2000. Status P dan Pendugaan Keperluan Pupuk P pada Padi Sawah. Prosiding Lokakarya Penelitian Komoditas, 3 (1) :199-210.

Makarim, A.K. dan E. Suhartatik. 2005. Strategi dan Teknologi Pengelolaan Lahan, Air,Tanaman, dan Organisme Pengganggu (LATO) pada Pertanian Padi Varietas Elite. Balitpa Sukamandi.

Mayunar, Benny Rachman, P.N. Susilawati dan Kardiyono. 2006. Pengelolaan Tanaman dan Sumberdaya Terpadu Pada Lahan Sawah Irigasi di Kecamaten Carenang Kabupaten Serang Laporan Hasil Pengkajian BPTP Banten, Serang.

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Ogundari, K. and S.O.Ojo. 2006. An Examination og Technical Economic and Allocative Efficiency of Small Farm : The Case Study of Cassava Farmers in Osun State of Nigeria. Journal of Central European Agriculture, 7(3):423-432.

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Satria, P.U. 2003. Kajian Effisiensi Teknis Usahatani Padi Sawah Pada Petani Peserta Sekolah Lapang Pengedalian Hama Terpadu (SLPHT) di Sumatera Barat. Jurnal Akta Agrosia Vol.6 No. 2 hlm 67-74 Jul- Des 2003.

Seyoum, E.T., G.E. Battese and E.M. Fleming. 1996. Technical Efficiency and Productivity of Maize Producers in Eastern Ethiopia: A Study of Farmers Within and Outside The Sasakawa-Global 2000 Project. CEPA Working Paper, No.06/96 University of New England, Armidale. http://www.une.edu.au/econometrics/ cepawp.htm. Tanggal akses, 6 Desember 2007.

Siregar, M. 1987. Effects of Some Selected Variables on Rice Farmers Technical Efficiency. Jurnal Agro Ekonomi, 6(2): 142-156.

Sri Widodo, 1979. Identifying Constrains to Higher Rice Yields in Yogyakarta. Farm Level Constraints to high Rice Yields in Asia. IRRI, Philippines. P:21-61.

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Sumarno, I.G. Ismail dan Ph.Soetjipto. 2000. Konsep Usahatani Ramah Lingkungan. hal. 55-74. Dalam : A.K. Makarim et al. (eds.): Tonggak Kemajuan Teknologi Produksi Tanaman Pangan. Prosiding Simposium Penelitian Tanaman Pangan IV. Puslitbangtan, Bogor.

Sumaryanto. 2001. Estimasi Tingkat Efisiensi Usahatani Padi dengan Fungsi produksi Stochastic Frontier. Jurnal Agro Ekonomi, 19 (1): 65-84.

Sumaryanto, Wahida dan M.Siregar. 2003. Determinan Efisiensi Teknis Usahatani di Lahan Sawah Irigasi. Jurnal Agro Ekonomi, 21(1): 72-96. Swastika, D.K.S.1996. The Measurement of Total Factor Productivity Growth

Using Production Frontier: A Case of Irrigated Rice Farming in West Java. Jurnal Agro Ekonomi, 15(1):1-19.

Toha, H. M. 2005. Peningkatan Produktivitas Padi Gogo melalui Penerapan Pengelolaan Tanaman Terpadu dengan Introduksi Varietas Unggul. Jurnal Agro Ekonomi, 26(3): 233-247.

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Lampiran 2. Hasil Analisis Pendugaan Fungsi Produksi Petani Program Pengelolaan Tanaman dan Sumberdaya Terpadu, Petani Bukan Program Pengelolaan Tanaman dan Sumberdaya Terpadu, Gabungan tanpa Dummy dan Gabungan dengan Dummy. A. Fungsi Produksi Petani Peserta Program Pengelolaan Tanaman dan Sumberdaya Terpadu

The SYSLIN Procedure Ordinary Least Squares Estimation Model FUNC_CD Dependent Variable y Analysis of Variance Sum of Mean

Source DF Squares Square F Value Pr > F Model 5 0.579629 0.115926 15.02 <.0001 Error 54 0.416648 0.007716

Corrected Total 59 0.996276

Root MSE 0.08784 R-Square 0.58180 Dependent Mean 8.77528 Adj R-Sq 0.54307 Coeff Var 1.00098

Parameter Estimates Parameter Standard

Variable DF Estimate Error t Value Pr > |t| Intercept 1 3.886196 0.665970 5.84 <.0001 x1 1 0.178433 0.132059 1.35 0.1823 x2 1 0.466608 0.082755 5.64 <.0001 x3 1 0.001941 0.003095 0.63 0.5331 x4 1 0.203969 0.170329 1.20 0.2363 x5 1 0.256928 0.135128 1.90 0.0626

B. Fungsi Produksi Petani Bukan Peserta Program Pengelolaan Tanaman dan Sumberdaya Terpadu

The SYSLIN Procedure Ordinary Least Squares Estimation Model FUNC_CD Dependent Variable y Analysis of Variance Sum of Mean

Source DF Squares Square F Value Pr > F Model 5 0.781043 0.156209 11.43 <.0001 Error 54 0.737982 0.013666

Corrected Total 59 1.519025

Root MSE 0.11690 R-Square 0.51417 Dependent Mean 8.60903 Adj R-Sq 0.46919 Coeff Var 1.35791

Parameter Estimates Parameter Standard

Variable DF Estimate Error t Value Pr > |t| Intercept 1 4.240955 0.722700 5.87 <.0001 x1 1 0.453772 0.110655 4.10 0.0001 x2 1 0.218343 0.086372 2.53 0.0144 x3 1 0.004716 0.001971 2.39 0.0202 x4 1 0.064135 0.161869 0.40 0.6935 x5 1 0.288666 0.149268 1.93 0.0584

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C. Fungsi Produksi Gabungan Tanpa Dummy

Fungsi Produksi Cobb-Douglas The SYSLIN Procedure Ordinary Least Squares Estimation Model FUNC_CD Dependent Variable y Analysis of Variance Sum of Mean

Source DF Squares Square F Value Pr > F Model 5 1.458014 0.291603 17.62 <.0001 Error 114 1.886377 0.016547

Corrected Total 119 3.344391

Root MSE 0.12864 R-Square 0.43596 Dependent Mean 8.69215 Adj R-Sq 0.41122 Coeff Var 1.47991

Parameter Estimates Parameter Standard

Variable DF Estimate Error t Value Pr > |t| Intercept 1 5.765699 0.515369 11.19 <.0001 x1 1 -0.01979 0.081657 -0.24 0.8089 x2 1 0.355223 0.072761 4.88 <.0001 x3 1 0.007721 0.001814 4.26 <.0001 x4 1 -0.48019 0.110027 -4.36 <.0001 x5 1 0.494031 0.120665 4.09 <.0001 D. Fungsi Produksi Gabungan Dengan Dummy

Fungsi Produksi Cobb-Douglas The SYSLIN Procedure Ordinary Least Squares Estimation Model FUNC_CD Dependent Variable y Analysis of Variance Sum of Mean

Source DF Squares Square F Value Pr > F Model 6 2.096287 0.349381 31.63 <.0001 Error 113 1.248084 0.011045

Corrected Total 119 3.344371

Root MSE 0.10510 R-Square 0.62681 Dependent Mean 8.69215 Adj R-Sq 0.60700 Coeff Var 1.20908

Parameter Estimates Parameter Standard

Variable DF Estimate Error t Value Pr > |t| Intercept 1 3.734775 0.498655 7.49 <.0001 x1 1 0.363139 0.083594 4.34 <.0001 x2 1 0.328832 0.059546 5.52 <.0001 x3 1 0.003825 0.001568 2.44 0.0162 x4 1 0.093294 0.117348 0.80 0.4283 x5 1 0.315474 0.101339 3.11 0.0023 d1 1 0.342097 0.045001 7.60 <.0001

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Lampiran 3. Hasil Analisis Pendugaan Fungsi Produksi yang Diretriksi Petani Program Pengelolaan Tanaman dan Sumberdaya Terpadu dan Petani Bukan Program Pengelolaan Tanaman dan Sumberdaya Terpadu A. Fungsi Produksi Petani Peserta Program Pengelolaan Tanaman dan Sumberdaya Terpadu Terestriksi

Fungsi Produksi Cobb-Douglas The SYSLIN Procedure Ordinary Least Squares Estimation Model FUNC_CD Dependent Variable y Analysis of Variance Sum of Mean

Source DF Squares Square F Value Pr > F Model 4 0.577225 0.144306 18.94 <.0001 Error 55 0.419052 0.007619

Corrected Total 59 0.996276

Root MSE 0.08729 R-Square 0.57938 Dependent Mean 8.77528 Adj R-Sq 0.54879 Coeff Var 0.99470

Parameter Estimates Parameter Standard

Variable DF Estimate Error t Value Pr > |t| Intercept 1 4.219912 0.291543 14.47 <.0001 x1 1 0.130010 0.098942 1.31 0.1943 x2 1 0.460839 0.081592 5.65 <.0001 x3 1 0.002206 0.003039 0.73 0.4711 x4 1 0.155853 0.145984 1.07 0.2904 x5 1 0.251092 0.133877 1.88 0.0660 RESTRICT -1 0.022284 0.039671 0.56 0.5790 B. Fungsi Produksi Petani Bukan Peserta Program Pengelolaan Tanaman dan Sumberdaya Terpadu Terestriksi

The SYSLIN Procedure Ordinary Least Squares Estimation Model FUNC_CD Dependent Variable y Analysis of Variance Sum of Mean

Source DF Squares Square F Value Pr > F Model 4 0.780705 0.195176 14.54 <.0001 Error 55 0.738320 0.013424

Corrected Total 59 1.519025

Root MSE 0.11586 R-Square 0.51395 Dependent Mean 8.60903 Adj R-Sq 0.47860 Coeff Var 1.34582

Parameter Estimates Parameter Standard

Variable DF Estimate Error t Value Pr > |t| Intercept 1 4.345464 0.281802 15.42 <.0001 x1 1 0.446956 0.100911 4.43 <.0001 x2 1 0.216894 0.085114 2.55 0.0136 x3 1 0.004759 0.001935 2.46 0.0171 x4 1 0.050931 0.137169 0.37 0.7118 x5 1 0.280459 0.138607 2.02 0.0479 RESTRICT -1 0.011411 0.071896 0.16 0.8756

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Lampiran 4. Hasil Analisis Per Hektar Pendugaan Fungsi Produksi Petani Peserta Program Pengelolaan Tanaman dan Sumberdaya Terpadu

Output from the program FRONTIER (Version 4.1c) instruction file = terminal

data file = ptt.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 0.38861961E+01 0.66596989E+00 0.58353931E+01 beta 1 0.17843302E+00 0.13205922E+00 0.13511591E+01 beta 2 0.46660772E+00 0.82755336E-01 0.56384004E+01 beta 3 0.19413863E-02 0.30949543E-02 0.62727463E+00 beta 4 0.20396892E+00 0.17032932E+00 0.11974974E+01 beta 5 0.25692787E+00 0.13512814E+00 0.19013646E+01 sigma-squared 0.77156956E-02

log likelihood function = 0.63959464E+02 the final mle estimates are :

coefficient standard-error t-ratio

beta 0 0.58774756E+01 0.65327763E+00 0.89969032E+01 beta 1 0.59497412E-01 0.82003602E-01 0.72554632E+01 beta 2 0.34240794E+00 0.27178251E-01 0.12598601E+02 beta 3 0.32282873E-02 0.25986721E-02 0.12422834E+01 beta 4 0.32899012E+00 0.14418042E+00 0.22817948E+00 beta 5 0.11205796E-01 0.14422204E+00 0.77698226E+01 delta 0 0.37387048E+00 0.58862272E-01 0.63516149E+01 delta 1 0.29847395E-02 0.18165858E-02 0.16430490E+01 delta 2 -0.12396641E-01 0.44431588E-02 -0.27900513E+01 delta 3 0.15257758E-02 0.25572631E-02 0.59664407E+00 delta 4 0.20512180E-01 0.17766914E-01 0.11545156E+01 delta 5 -0.37850324E-02 0.31500835E-01 -0.12015657E+00 delta 6 0.82569340E-02 0.29805435E-01 0.27702779E+00 delta 7 -0.12796687E+00 0.27900273E-01 -0.45865811E+01 sigma-squared 0.39186655E-02 0.13120158E-02 0.29867517E+01 gamma 0.99999999E+00 0.16985531E-06 0.58873638E+07 log likelihood function = 0.90659695E+02

LR test of the one-sided error = 0.53400463E+02 with number of restrictions = 9

[note that this statistic has a mixed chi-square distribution] number of iterations = 31

(maximum number of iterations set at : 100) number of cross-sections = 60

number of time periods = 1 total number of observations = 60 thus there are: 0 obsns not in the panel technical efficiency estimates :

firm year eff.-est. 1 1 0.81905233E+00 2 1 0.86199563E+00 3 1 0.77232066E+00 4 1 0.92090046E+00 5 1 0.82317219E+00 6 1 0.97073206E+00

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Lampiran 4. Lanjutan 7 1 0.89312592E+00 8 1 0.90192940E+00 9 1 0.86511844E+00 10 1 0.99998952E+00 11 1 0.89548510E+00 12 1 0.91717863E+00 13 1 0.90015107E+00 14 1 0.99944608E+00 15 1 0.87443820E+00 16 1 0.94298850E+00 17 1 0.84647363E+00 18 1 0.91734273E+00 19 1 0.84544608E+00 20 1 0.82874965E+00 21 1 0.93758535E+00 22 1 0.92774450E+00 23 1 0.95087212E+00 24 1 0.75483750E+00 25 1 0.99976435E+00 26 1 0.96981184E+00 27 1 0.84250442E+00 28 1 0.78862160E+00 29 1 0.84512367E+00 30 1 0.85284819E+00 31 1 0.89438641E+00 32 1 0.90420603E+00 33 1 0.80179086E+00 34 1 0.91471410E+00 35 1 0.70224535E+00 36 1 0.94796842E+00 37 1 0.93216160E+00 38 1 0.71802202E+00 39 1 0.82787265E+00 40 1 0.77876878E+00 41 1 0.88428675E+00 42 1 0.84838726E+00 43 1 0.74362088E+00 44 1 0.84002159E+00 45 1 0.96113229E+00 46 1 0.97718059E+00 47 1 0.80173314E+00 48 1 0.99310586E+00 49 1 0.71741572E+00 50 1 0.73441389E+00 51 1 0.86689927E+00 52 1 0.86082106E+00 53 1 0.93728499E+00 54 1 0.72899564E+00 55 1 0.95527631E+00 56 1 0.77686751E+00 57 1 0.81618236E+00 58 1 0.84438348E+00 59 1 0.89467194E+00 60 1 0.93816677E+00 mean efficiency = 0.87014556E+00

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Lampiran 5. Hasil Analisis Per Hektar Pendugaan Fungsi Produksi Petani Bukan Peserta Program Pengelolaan Tanaman dan Sumberdaya Terpadu Output from the program FRONTIER (Version 4.1c)

instruction file = terminal data file = nonptt.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 0.42409067E+01 0.72271667E+00 0.58680073E+01 beta 1 0.45375522E+00 0.11066224E+00 0.41003618E+01 beta 2 0.21835586E+00 0.86374104E-01 0.25280246E+01 beta 3 0.47165838E-02 0.19707308E-02 0.23933171E+01 beta 4 0.64044642E-01 0.16186915E+00 0.39565688E+00 beta 5 0.28873014E+00 0.14927254E+00 0.19342482E+01 sigma-squared 0.13667171E-01

log likelihood function = 0.46807263E+02 the final mle estimates are :

coefficient standard-error t-ratio

beta 0 0.60946228E+01 0.59235503E+00 0.10288801E+02 beta 1 0.32280786E+00 0.26145459E-01 0.12346613E+02 beta 2 0.12639721E+00 0.75392419E-01 0.16765241E+01 beta 3 0.25088298E-03 0.17443641E-02 0.14382489E+00 beta 4 0.68383308E-01 0.97444148E-01 0.70176927E+00 beta 5 0.17587519E+00 0.13184327E+00 0.13339717E+01 delta 0 0.63315459E+00 0.90776940E-01 0.69748395E+01 delta 1 -0.21851031E-02 0.24748976E-02 - 0.88290644E+00 delta 2 -0.20328816E-02 0.12904089E-02 -0.15753778E+01 delta 3 -0.12297162E-02 0.27333278E-02 -0.44989707E+00 delta 4 -0.43064927E-01 0.14919349E-01 -0.28865151E+01 delta 5 -0.21014442E-01 0.21322164E-01 -0.98556797E+00 delta 6 -0.80954994E-01 0.26638796E-01 -0.30389885E+01 delta 7 -0.15052473E+00 0.29200154E-01 -0.51549293E+01 sigma-squared 0.62938407E-02 0.83370139E-03 0.75492745E+01 gamma 0.99999252E+00 0.29151916E-01 0.34302806E+02 log likelihood function = 0.67596233E+02

LR test of the one-sided error = 0.41577941E+02 with number of restrictions = 9

[note that this statistic has a mixed chi-square distribution] number of iterations = 44

(maximum number of iterations set at : 100) number of cross-sections = 60

number of time periods = 1 total number of observations = 60 thus there are: 0 obsns not in the panel technical efficiency estimates :

firm year eff.-est. 1 1 0.65241800E+00 2 1 0.72062542E+00 3 1 0.77541933E+00 4 1 0.83531566E+00 5 1 0.72737198E+00 6 1 0.70845046E+00 7 1 0.68819426E+00

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Lampiran 5. Lanjutan 8 1 0.71693782E+00 9 1 0.76984678E+00 10 1 0.77741858E+00 11 1 0.83807859E+00 12 1 0.70923288E+00 13 1 0.75988320E+00 14 1 0.78312255E+00 15 1 0.71417085E+00 16 1 0.74509992E+00 17 1 0.87304809E+00 18 1 0.78578755E+00 19 1 0.75913434E+00 20 1 0.73474182E+00 21 1 0.85327946E+00 22 1 0.99892919E+00 23 1 0.82045002E+00 24 1 0.71837176E+00 25 1 0.67259299E+00 26 1 0.77816574E+00 27 1 0.66321156E+00 28 1 0.68753126E+00 29 1 0.90392511E+00 30 1 0.71923867E+00 31 1 0.56837701E+00 32 1 0.65020368E+00 33 1 0.72078113E+00 34 1 0.71076960E+00 35 1 0.68131163E+00 36 1 0.74109713E+00 37 1 0.67797933E+00 38 1 0.67117772E+00 39 1 0.68312344E+00 40 1 0.64035920E+00 41 1 0.57481883E+00 42 1 0.57475722E+00 43 1 0.56324549E+00 44 1 0.70654903E+00 45 1 0.58484286E+00 46 1 0.73441699E+00 47 1 0.82808038E+00 48 1 0.75529530E+00 49 1 0.64658318E+00 50 1 0.59406996E+00 51 1 0.74718232E+00 52 1 0.61198300E+00 53 1 0.78831753E+00 54 1 0.65612060E+00 55 1 0.67515645E+00 56 1 0.65343703E+00 57 1 0.65199047E+00 58 1 0.68120613E+00 59 1 0.54138457E+00 60 1 0.57275094E+00 mean efficiency = 0.71295603E+00

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Lampiran 6. Hasil Analisis Per Hektar Pendugaan Fungsi Produksi Gabungan Petani Peserta Program Pengelolaan Tanaman dan Sumberdaya Terpadu dan Petani Bukan Peserta Program Pengelolaan Tanaman dan Sumberdaya Terpadu

Output from the program FRONTIER (Version 4.1c) instruction file = terminal

data file = gabungan.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 0.37346266E+01 0.49866761E+00 0.74892103E+01 beta 1 0.36314256E+00 0.83598255E-01 0.43439013E+01 beta 2 0.32882578E+00 0.59546951E-01 0.55221262E+01 beta 3 0.38254914E-02 0.15678692E-02 0.24399302E+01 beta 4 0.93221567E-01 0.11734830E+00 0.79440069E+00 beta 5 0.31555838E+00 0.10134175E+00 0.31138043E+01 beta 6 0.34208838E+00 0.45000879E-01 0.76018155E+01 sigma-squared 0.11045166E-01

log likelihood function = 0.10367936E+03 the final mle estimates are :

coefficient standard-error t-ratio

beta 0 0.59967479E+01 0.55956887E+00 0.10716729E+02 beta 1 0.33587537E+00 0.68314117E-01 0.49166319E+01 beta 2 0.16308761E+00 0.58456523E-01 0.27898958E+01 beta 3 0.12951017E-02 0.14379001E-02 0.90068963E+00 beta 4 0.95400215E-01 0.11848821E+00 0.80514519E+00 beta 5 0.12481126E+00 0.92221434E-01 0.13533867E+01 beta 6 0.26200874E+00 0.43302474E-01 0.60506646E+01 delta 0 0.56530027E+00 0.22604386E+00 0.25008434E+01 delta 1 -0.14346482E-02 0.14618946E-02 -0.98136223E+00 delta 2 -0.27464239E-02 0.44491171E-02 -0.61729638E+00 delta 3 -0.10000921E-02 0.17305819E-02 -0.57789353E+00 delta 4 -0.18080911E-01 0.13950631E-01 -0.12960641E+01 delta 5 -0.26446957E-01 0.29248187E-01 -0.90422550E+00 delta 6 -0.45107856E-01 0.42707989E-01 -0.10561925E+01 delta 7 -0.14060896E+00 0.21204037E-01 -0.66312353E+01 sigma-squared 0.55411218E-02 0.73514153E-03 0.75374898E+01 gamma 0.99997409E+00 0.83767307E+00 0.11937522E+01 log likelihood function = 0.14154898E+03

(14)

with number of restrictions = 9

[note that this statistic has a mixed chi-square distribution] number of iterations = 44

(maximum number of iterations set at : 100) number of cross-sections = 120

number of time periods = 1 total number of observations = 120 technical efficiency estimates : firm year eff.-est.

1 1 0.71487311E+00 2 1 0.78044059E+00 3 1 0.64167839E+00 4 1 0.75217395E+00 5 1 0.73774681E+00 6 1 0.74365465E+00 7 1 0.76165879E+00 8 1 0.73635755E+00 9 1 0.75058968E+00 10 1 0.87872605E+00 11 1 0.70597116E+00 12 1 0.77709727E+00 13 1 0.78585438E+00 14 1 0.85417620E+00 15 1 0.75227895E+00 16 1 0.84482449E+00 17 1 0.77053736E+00 18 1 0.76639985E+00 19 1 0.72000869E+00 20 1 0.74040633E+00 21 1 0.85346505E+00 22 1 0.78222112E+00 23 1 0.82605788E+00 24 1 0.62094540E+00 25 1 0.87688976E+00 26 1 0.84374939E+00 27 1 0.66585987E+00 28 1 0.67155989E+00 29 1 0.77389895E+00 30 1 0.71482745E+00 31 1 0.72785302E+00 32 1 0.73933145E+00 33 1 0.67103258E+00 34 1 0.74135707E+00 35 1 0.61541181E+00 36 1 0.79958312E+00 37 1 0.75032448E+00 38 1 0.60615776E+00 39 1 0.73720569E+00 40 1 0.64938071E+00 41 1 0.75387262E+00 42 1 0.69434871E+00 43 1 0.62704556E+00 44 1 0.72828805E+00 45 1 0.81189521E+00 46 1 0.84423432E+00 47 1 0.64705246E+00 48 1 0.83543808E+00 49 1 0.58282735E+00 50 1 0.57420912E+00 51 1 0.73564691E+00 52 1 0.77039761E+00 53 1 0.76879394E+00 54 1 0.61143232E+00 55 1 0.78921433E+00 56 1 0.62782928E+00 57 1 0.69836451E+00 58 1 0.76031963E+00 59 1 0.76689830E+00 60 1 0.80277607E+00

(15)

Lampiran 6.Lanjutan 61 1 0.63504193E+00 62 1 0.70719146E+00 63 1 0.75010143E+00 64 1 0.81593110E+00 65 1 0.70961886E+00 66 1 0.69097702E+00 67 1 0.67073266E+00 68 1 0.69741580E+00 69 1 0.74904570E+00 70 1 0.74889852E+00 71 1 0.81561843E+00 72 1 0.69268878E+00 73 1 0.73718406E+00 74 1 0.76676370E+00 75 1 0.70023561E+00 76 1 0.72929564E+00 77 1 0.85476541E+00 78 1 0.77264165E+00 79 1 0.73816206E+00 80 1 0.71696588E+00 81 1 0.83020416E+00 82 1 0.97527475E+00 83 1 0.79486599E+00 84 1 0.69813463E+00 85 1 0.65348546E+00 86 1 0.75603147E+00 87 1 0.65592556E+00 88 1 0.68037524E+00 89 1 0.89123047E+00 90 1 0.70588047E+00 91 1 0.55903885E+00 92 1 0.64564842E+00 93 1 0.69922974E+00 94 1 0.68915745E+00 95 1 0.66309587E+00 96 1 0.72560562E+00 97 1 0.66290258E+00 98 1 0.66313352E+00 99 1 0.66807256E+00 100 1 0.61631397E+00 101 1 0.56508637E+00 102 1 0.57380330E+00 103 1 0.55447837E+00 104 1 0.68881185E+00 105 1 0.59205421E+00 106 1 0.71290844E+00 107 1 0.80415370E+00 108 1 0.73724446E+00 109 1 0.63371593E+00 110 1 0.58698210E+00 111 1 0.74644156E+00 112 1 0.60048295E+00 113 1 0.80473159E+00 114 1 0.67112575E+00 115 1 0.68611649E+00 116 1 0.66956666E+00 117 1 0.64348635E+00 118 1 0.67068108E+00 119 1 0.54093148E+00 120 1 0.56242888E+00 mean efficiency = 0.71909638E+00

(16)

Lampiran 7. Data Pendugaan Fungsi Produksi Usahatani Padi Sawah di Kabupaten Serang Tahun 2007

A. Petani Peserta Program Pengelolaan Tanaman dan Sumberdaya Terpadu

OBS Y X1 X2 X3 X4 X5 X6 1 4 400 0.7 18 215 1 500 9.0 55.0 2 5 500 0.8 20 285 1 500 10.0 58.0 3 1 450 0.3 7 70 500 3.0 18.0 4 4 500 0.7 20 215 1 000 7.0 45.8 5 2 850 0.4 11 165 1 000 5.0 31.2 6 4 500 0.8 20 140 1 000 8.0 51.6 7 3 400 0.5 13 160 800 6.0 43.2 8 7 000 1.1 30 285 1 500 13.0 86.0 9 4 600 0.7 18 235 1 000 8.0 52.0 10 7 600 1.0 25 350 2 000 11.0 70.6 11 3 200 0.5 15 130 625 6.0 43.7 12 5 400 0.8 20 310 0 9.0 64.2 13 6 700 1.0 25 340 1 600 11.0 71.8 14 7 900 1.0 30 350 2 000 12.0 69.2 15 5 100 0.8 20 285 1 500 8.0 58.3 16 4 326 0.6 15 210 1 250 7.0 40.8 17 3 600 0.5 13 185 1 000 7.0 41.8 18 4 950 0.7 20 240 1 000 8.0 58.0 19 3 300 0.5 15 170 500 6.0 33.7 20 3 800 0.6 15 205 1 000 7.0 39.8 21 15 000 2.0 50 670 2 500 27.0 146.0 22 12 000 1.6 50 570 2 500 20.0 125.8 23 5 680 0.8 20 260 1 600 9.0 58.2 24 1 520 0.3 8 80 400 3.0 17.2 25 10 700 1.4 35 480 2 500 16.0 105.0 26 7 400 1.0 25 325 1 500 12.0 81.6 27 2 600 0.5 13 105 500 5.0 29.6 28 1 100 0.2 5 60 400 2.0 12.0 29 6 200 0.9 23 320 1 800 12.0 63.8 30 4 560 0.7 20 235 700 8.0 54.2 31 8 500 1.2 40 425 2 000 14.0 94.8 32 5 600 0.8 25 250 1 600 10.0 67.3 33 3 200 0.5 15 180 500 6.0 43.0 34 680 0.1 3 35 100 1.0 7.5 35 620 0.1 3 34 150 1.5 8.0 36 4 100 0.6 15 240 0 6.0 43.2 37 6 800 1.0 30 300 2 000 11.0 76.9 38 1 000 0.2 5 60 200 2.0 12.8 39 8 400 1.3 32 470 2 500 15.0 98.4 40 2 400 0.4 12 125 500 5.0 31.0 41 8 700 1.3 35 425 1 500 15.0 98.2 42 3 100 0.5 15 140 500 6.0 35.2 43 2 100 0.4 10 100 500 5.0 30.8 44 3 300 0.5 13 175 1 000 6.0 43.2 45 7 600 1.0 30 350 1 600 12.0 76.4 46 6 800 0.9 23 325 1 800 10.0 75.0

(17)

Lampiran 7 . Lanjutan No. Responen Y X1 X2 X3 X4 X5 X6 47 1 540 0.3 8 70 300 3.0 16.4 48 11 300 1.50 45 495 2 000 17.0 96.0 49 710 0.14 4 40 150 1.5 9.7 50 1 530 0.30 10 85 400 3.0 17.2 51 4 000 0.60 18 200 1 000 7.0 38.5 52 5 500 0.80 20 285 1 600 10.0 64.3 53 16 800 2.40 75 730 3 000 28.0 162.0 54 690 0.13 3 38 150 1.5 9.5 55 7 400 1.00 30 330 1 000 12.0 84.0 56 1 300 0.25 7 55 250 3.0 15.9 57 1 200 0.20 5 70 200 2.0 14.5 58 4 020 0.60 15 225 1 200 7.0 43.0 59 6 500 0.99 25 340 1 500 100 68.8 60 6 400 0.90 25 305 1 500 10.0 60.1

B. Petani Bukan Program Pengelolaan Tanaman dan Sumberdaya Terpadu No. Responen Y X1 X2 X3 X4 X5 X6 1 5 000 1.0 40 325 1 500 14.6 68.2 2 2 800 0.5 20 165 500 7.2 41.0 3 1 900 0.3 12 125 500 4.8 22.4 4 2 000 0.3 10 125 600 5.1 26.8 5 2 900 0.5 22 160 1 000 8.1 40.2 6 2 650 0.4 21 165 1 000 6.2 35.8 7 2 100 0.4 17 130 600 5.7 30.2 8 3 100 0.5 25 200 1 000 7.1 42.0 9 7 000 1.1 50 400 1 800 15.8 82.0 10 16 500 2.6 120 1 070 4 000 34.9 170.2 11 14 000 2.3 80 800 2 500 30.1 148.5 12 5 300 0.9 40 300 1 500 15.6 76.2 13 4 400 0.7 30 260 1 500 12.1 55.2 14 7 600 1.2 50 450 2 000 16.2 100.2 15 5 000 0.8 40 250 1 500 14.0 70.7 16 6 500 1.1 45 360 1 500 16.6 85.9 17 6 600 1.0 35 380 2 000 13.0 79.5 18 12 100 1.9 85 620 3 000 24.3 152.2 19 4 300 0.7 30 250 1 500 10.3 50.8 20 7 000 1.2 50 380 1 200 19.8 90.2 21 4 000 0.6 20 250 1 000 10.2 50.3 22 3 700 0.5 15 190 1 000 8.3 40.5 23 6 500 1.0 35 460 1 500 15.8 80.9 24 5 900 1.0 40 410 2 000 16.0 82.5 25 6 000 1.2 45 360 1 200 20.0 78.0 26 5 200 0.8 30 390 1 300 12.7 72.5 27 7 400 1.5 50 605 0 24.7 102.0 28 5 400 1.0 40 275 1 200 15.6 86.2 29 5 600 0.8 30 235 2 000 12.7 67.8 30 5 600 1.0 35 350 1 500 16.3 86.6

(18)

Lampiran 7 . Lanjutan No. Responen Y X1 X2 X3 X4 X5 X6 31 2 050 0.5 15 160 500 8.0 40.0 32 1 050 0.2 8 77 0 3.4 15.8 33 2 400 0.4 18 145 800 6.7 30.8 34 7 800 1.5 50 525 1 500 24.3 100.0 35 10 600 2.0 75 720 2 000 32.0 150.0 36 3 000 0.5 20 175 1 000 8.0 42.6 37 4 040 0.8 30 250 1 000 11.0 55.0 38 3 920 0.8 25 270 1 200 10.4 66.31 39 8 100 1.6 60 475 2 000 23.0 109.0 40 11 000 2.2 80 950 3 000 36.6 154.0 41 1 250 0.3 10 95 300 4.0 22.0 42 4 200 1.0 35 325 0 15.0 68.0 43 5 400 1.3 45 415 1 200 17.0 98.3 44 9 200 2.0 60 600 180 24.0 105.0 45 2 000 0.5 15 145 0 6.9 40.1 46 1 200 0.2 8 85 400 3.0 16.0 47 2 600 0.4 16 145 600 6.0 28.6 48 2 540 0.4 20 125 800 6.2 30.8 49 1 500 0.3 10 110 500 5.0 26.2 50 1 450 0.3 13 70 700 5.2 22.5 51 4 000 0.8 30 125 1 500 10.5 50.1 52 4 300 1.0 30 310 1 500 14.9 72.4 53 3 000 0.5 20 120 0 7.0 42.8 54 9 000 2.0 60 450 0 31.0 162.0 55 4 100 0.8 30 250 0 9.4 67.3 56 4 800 1.0 35 255 0 13.0 88.2 57 2 400 0.5 15 160 1 000 8.3 44.3 58 3 600 0.7 25 240 1 000 8.7 55.3 59 4 200 1.0 35 400 0 14.6 82.9 60 3 200 0.8 25 250 1 000 10.2 54.9

(19)

Lampiran 8. Data Pendugaan Efek Inefisiensi Teknis Usahatani Padi Sawah Petani Peserta Program Pengelolaan Tanaman dan Sumberdaya Terpadu dan Petani bukan Peserta Program Pengelolaan Tanaman dan Sumberdaya Terpadu di Kabupaten Serang Tahun 2007

PETANI PROGRAM PTT PETANI BUKAN PROGRAM PTT Obs Z1 Z2 Z3 Z4 Z5 Z6 Z7 Z1 Z2 Z3 Z4 Z5 Z6 Z7 1 34 6 15 1.5 1 0 0 54 3 29 1.50 1 1 0 2 53 6 28 1.0 1 1 1 51 6 30 1.00 1 0 0 3 43 6 18 1.0 0 1 0 66 0 45 1.50 1 1 0 4 53 9 27 0.3 1 1 1 33 12 17 0.50 1 1 1 5 35 3 10 0.5 1 0 0 68 1 32 0.33 0 1 0 6 50 3 20 0.3 0 1 0 44 6 18 2.00 0 1 0 7 50 9 11 3.0 1 1 1 55 3 28 1.00 0 1 0 8 48 9 10 1.3 1 1 0 51 3 30 0.80 1 1 1 9 45 6 23 0.4 1 1 1 46 6 30 2.00 1 1 0 10 66 12 49 3.0 1 1 1 55 4 35 0.60 1 1 0 11 70 6 29 0.3 1 1 0 50 3 32 1.50 0 1 0 12 44 3 24 0.5 1 1 1 53 6 35 1.25 1 1 0 13 64 6 43 1.0 0 1 1 50 3 25 1.00 1 1 0 14 50 12 20 0.0 1 1 1 57 3 37 0.67 0 1 1 15 50 6 20 0.5 1 1 1 60 3 45 2.00 0 1 0 16 37 6 26 0.5 1 1 1 60 3 40 0.50 0 1 0 17 45 3 24 1.5 1 1 1 48 6 27 1.33 1 1 1 18 52 9 35 0.7 1 1 1 46 6 27 2.00 1 1 0 19 35 3 16 1.0 1 1 1 56 4 40 0.40 0 1 0 20 60 6 45 0.7 0 0 0 70 3 50 0.25 0 1 0 21 56 6 37 0.8 1 1 1 35 9 20 1.00 0 1 1 22 42 9 23 0.3 0 1 1 55 6 39 2.00 1 1 1 23 56 9 20 1.5 0 0 1 50 3 33 0.50 1 1 1 24 51 3 24 0.3 0 0 0 66 3 49 0.00 1 1 0 25 45 9 23 0.3 1 1 1 54 6 29 2.00 1 1 0 26 47 9 26 1.0 1 0 1 61 6 33 1.50 0 1 1 27 55 3 22 0.3 0 0 0 55 3 27 0.25 0 0 0 28 51 6 24 0.4 0 1 0 39 9 21 0.00 1 1 0 29 50 6 32 1.0 1 1 1 63 6 36 0.33 0 1 1 30 37 9 16 0.7 1 1 1 57 6 30 0.67 1 1 0 31 44 3 26 0.0 1 0 1 48 9 25 1.50 1 0 0 32 42 9 20 0.3 0 1 1 35 6 18 1.00 0 0 0 33 50 9 35 0.7 1 1 0 47 6 28 0.50 0 1 0 34 39 7 22 0.3 1 1 1 55 6 32 0.00 0 1 0 35 42 6 18 1.0 0 1 0 58 3 35 0.50 0 1 0 36 57 6 30 0.3 0 0 1 44 9 25 1.50 0 0 0 37 54 6 28 2.0 1 1 1 33 9 16 1.00 0 1 0 38 59 6 22 1.5 0 0 0 46 9 24 1.67 0 0 0 39 29 9 12 1.0 0 1 0 48 9 28 0.75 0 0 0 40 53 5 26 0.5 1 1 0 45 6 23 0.75 0 1 0 41 47 9 22 0.3 1 1 1 34 12 28 0.67 0 0 0 42 51 6 28 1.5 1 0 0 50 3 32 0.33 0 0 0 43 43 2 18 2.0 0 0 0 50 6 30 0.00 0 0 0 44 34 6 16 1.0 1 1 1 43 6 28 0.50 0 1 0 45 60 6 30 0.7 0 1 1 60 3 45 0.00 0 0 0

(20)

Lampiran 8. Lanjutan

PETANI PROGRAM PTT PETANI BUKAN PROGRAM PTT Obs Z1 Z2 Z3 Z4 Z5 Z6 Z7 Z1 Z2 Z3 Z4 Z5 Z6 Z7 46 55 6 29 0.5 1 1 1 44 6 21 2.00 0 1 0 47 40 4 18 0.5 0 0 0 60 4 42 1.50 0 1 1 48 57 9 25 1.0 0 0 1 46 6 24 1.50 0 1 1 49 46 3 22 0.0 0 1 0 45 6 22 1.00 0 0 0 50 33 2 12 0.3 0 0 0 40 9 27 1.00 1 1 0 51 61 9 35 2.5 1 0 1 55 6 31 1.00 1 0 0 52 52 3 26 0.3 1 1 1 45 9 26 0.00 0 0 0 53 40 6 19 0.0 0 1 1 50 6 32 1.00 1 1 0 54 57 3 27 0.5 0 0 0 35 12 16 0.33 0 0 0 55 54 1 20 2.0 0 1 1 45 6 24 0.33 0 0 0 56 44 1 26 1.0 0 0 0 45 9 20 1.00 0 1 0 57 34 6 21 0.3 1 1 0 55 6 33 0.50 1 0 0 58 41 4 22 0.7 1 1 1 52 6 39 0.50 0 1 0 59 38 9 16 1.5 1 1 1 35 9 18 0.50 0 0 0 60 27 9 8 0.5 1 0 1 45 6 22 0.33 0 1 0

(21)

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