IX, 1 September Badan Pusat Statistik Jakarta

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.

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

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. Morrison J. and K. Balcombe. 1992. Policy Analysis Matrices: Beyond Simple Sensitivity Analysis. Journal of International Development, 14(4): 459471. 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. Pirngadi, K dan A. Karim Makarim.2006. Peningkatan Produktivitas Padi pada Lahan Sawah Tadah Hujan melalui Pengelolaan Tanaman Terpadu. Jurnal Penelitian Tanaman Pangan, 25(2):116-123. 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.

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.

Lampiran 1. Peta Wilayah Desa Teras

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 DF Squares Square

Source Model Error Corrected Total

5 54 59

Root MSE Dependent Mean Coeff Var

Variable Intercept x1 x2 x3 x4 x5

DF 1 1 1 1 1 1

0.579629 0.416648 0.996276 0.08784 8.77528 1.00098

0.115926 0.007716

R-Square Adj R-Sq

Parameter Estimates Parameter Standard Estimate Error 3.886196 0.178433 0.466608 0.001941 0.203969 0.256928

F Value

Pr > F

15.02

<.0001

0.58180 0.54307

t Value

Pr > |t|

5.84 1.35 5.64 0.63 1.20 1.90

<.0001 0.1823 <.0001 0.5331 0.2363 0.0626

0.665970 0.132059 0.082755 0.003095 0.170329 0.135128

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 DF Squares Square


5 54 59



DF 1 1 1 1 1 1

0.781043 0.737982 1.519025 0.11690 8.60903 1.35791

0.156209 0.013666

R-Square Adj R-Sq

Parameter Estimates Parameter Standard Estimate Error 4.240955 0.722700 0.453772 0.110655 0.218343 0.086372 0.004716 0.001971 0.064135 0.161869 0.288666 0.149268

F Value

Pr > F

11.43

<.0001

0.51417 0.46919

t Value 5.87 4.10 2.53 2.39 0.40 1.93

Pr > |t| <.0001 0.0001 0.0144 0.0202 0.6935 0.0584

C. Fungsi Produksi Gabungan Tanpa Dummy Fungsi Produksi Cobb-Douglas The SYSLIN Procedure Ordinary Least Squares Estimation Model Dependent Variable

FUNC_CD y

Analysis of Variance Sum of Mean DF Squares Square


5 114 119


1.458014 1.886377 3.344391 0.12864 8.69215 1.47991

0.291603 0.016547

R-Square Adj R-Sq

F Value

Pr > F

17.62

<.0001

0.43596 0.41122

Parameter Estimates


DF

Parameter Estimate

Standard Error

t Value

Pr > |t|

1 1 1 1 1 1

5.765699 -0.01979 0.355223 0.007721 -0.48019 0.494031

0.515369 0.081657 0.072761 0.001814 0.110027 0.120665

11.19 -0.24 4.88 4.26 -4.36 4.09

<.0001 0.8089 <.0001 <.0001 <.0001 <.0001

D. Fungsi Produksi Gabungan Dengan Dummy Fungsi Produksi Cobb-Douglas The SYSLIN Procedure Ordinary Least Squares Estimation Model Dependent Variable

FUNC_CD y

Analysis of Variance Sum of Mean DF Squares Square


6 113 119


2.096287 1.248084 3.344371 0.10510 8.69215 1.20908

0.349381 0.011045

R-Square Adj R-Sq

F Value

Pr > F

31.63

<.0001

0.62681 0.60700

Parameter Estimates

Variable Intercept x1 x2 x3 x4 x5 d1

DF

Parameter Estimate

Standard Error

t Value

Pr > |t|

1 1 1 1 1 1 1

3.734775 0.363139 0.328832 0.003825 0.093294 0.315474 0.342097

0.498655 0.083594 0.059546 0.001568 0.117348 0.101339 0.045001

7.49 4.34 5.52 2.44 0.80 3.11 7.60

<.0001 <.0001 <.0001 0.0162 0.4283 0.0023 <.0001

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 DF Squares Square


4 55 59


Variable Intercept x1 x2 x3 x4 x5 RESTRICT

DF 1 1 1 1 1 1 -1

0.577225 0.419052 0.996276 0.08729 8.77528 0.99470

0.144306 0.007619

R-Square Adj R-Sq

Parameter Estimates Parameter Standard Estimate Error 4.219912 0.291543 0.130010 0.098942 0.460839 0.081592 0.002206 0.003039 0.155853 0.145984 0.251092 0.133877 0.022284 0.039671

F Value

Pr > F

18.94

<.0001

0.57938 0.54879

t Value 14.47 1.31 5.65 0.73 1.07 1.88 0.56

Pr > |t| <.0001 0.1943 <.0001 0.4711 0.2904 0.0660 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 DF Squares Square


4 55 59


Variable Intercept x1 x2 x3 x4 x5 RESTRICT

DF 1 1 1 1 1 1 -1

0.780705 0.738320 1.519025 0.11586 8.60903 1.34582

0.195176 0.013424

R-Square Adj R-Sq

Parameter Estimates Parameter Standard Estimate Error 4.345464 0.281802 0.446956 0.100911 0.216894 0.085114 0.004759 0.001935 0.050931 0.137169 0.280459 0.138607 0.011411 0.071896

F Value

Pr > F

14.54

<.0001

0.51395 0.47860

t Value 15.42 4.43 2.55 2.46 0.37 2.02 0.16

Pr > |t| <.0001 <.0001 0.0136 0.0171 0.7118 0.0479 0.8756

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 : beta 0 beta 1 beta 2 beta 3 beta 4 beta 5 sigma-squared log likelihood function =

coefficient 0.38861961E+01 0.17843302E+00 0.46660772E+00 0.19413863E-02 0.20396892E+00 0.25692787E+00 0.77156956E-02 0.63959464E+02

the final mle estimates are : coefficient beta 0 0.58774756E+01 beta 1 0.59497412E-01 beta 2 0.34240794E+00 beta 3 0.32282873E-02 beta 4 0.32899012E+00 beta 5 0.11205796E-01 delta 0 0.37387048E+00 delta 1 0.29847395E-02 delta 2 -0.12396641E-01 delta 3 0.15257758E-02 delta 4 0.20512180E-01 delta 5 -0.37850324E-02 delta 6 0.82569340E-02 delta 7 -0.12796687E+00 sigma-squared 0.39186655E-02 gamma 0.99999999E+00

standard-error 0.66596989E+00 0.13205922E+00 0.82755336E-01 0.30949543E-02 0.17032932E+00 0.13512814E+00

t-ratio 0.58353931E+01 0.13511591E+01 0.56384004E+01 0.62727463E+00 0.11974974E+01 0.19013646E+01

standard-error 0.65327763E+00 0.82003602E-01 0.27178251E-01 0.25986721E-02 0.14418042E+00 0.14422204E+00 0.58862272E-01 0.18165858E-02 0.44431588E-02 0.25572631E-02 0.17766914E-01 0.31500835E-01 0.29805435E-01 0.27900273E-01 0.13120158E-02 0.16985531E-06

t-ratio 0.89969032E+01 0.72554632E+01 0.12598601E+02 0.12422834E+01 0.22817948E+00 0.77698226E+01 0.63516149E+01 0.16430490E+01 -0.27900513E+01 0.59664407E+00 0.11545156E+01 -0.12015657E+00 0.27702779E+00 -0.45865811E+01 0.29867517E+01 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

Lampiran 4. Lanjutan 7 1 8 1 9 1 10 1 11 1 12 1 13 1 14 1 15 1 16 1 17 1 18 1 19 1 20 1 21 1 22 1 23 1 24 1 25 1 26 1 27 1 28 1 29 1 30 1 31 1 32 1 33 1 34 1 35 1 36 1 37 1 38 1 39 1 40 1 41 1 42 1 43 1 44 1 45 1 46 1 47 1 48 1 49 1 50 1 51 1 52 1 53 1 54 1 55 1 56 1 57 1 58 1 59 1 60 1

0.89312592E+00 0.90192940E+00 0.86511844E+00 0.99998952E+00 0.89548510E+00 0.91717863E+00 0.90015107E+00 0.99944608E+00 0.87443820E+00 0.94298850E+00 0.84647363E+00 0.91734273E+00 0.84544608E+00 0.82874965E+00 0.93758535E+00 0.92774450E+00 0.95087212E+00 0.75483750E+00 0.99976435E+00 0.96981184E+00 0.84250442E+00 0.78862160E+00 0.84512367E+00 0.85284819E+00 0.89438641E+00 0.90420603E+00 0.80179086E+00 0.91471410E+00 0.70224535E+00 0.94796842E+00 0.93216160E+00 0.71802202E+00 0.82787265E+00 0.77876878E+00 0.88428675E+00 0.84838726E+00 0.74362088E+00 0.84002159E+00 0.96113229E+00 0.97718059E+00 0.80173314E+00 0.99310586E+00 0.71741572E+00 0.73441389E+00 0.86689927E+00 0.86082106E+00 0.93728499E+00 0.72899564E+00 0.95527631E+00 0.77686751E+00 0.81618236E+00 0.84438348E+00 0.89467194E+00 0.93816677E+00

mean efficiency = 0.87014556E+00

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 beta 0 0.42409067E+01 beta 1 0.45375522E+00 beta 2 0.21835586E+00 beta 3 0.47165838E-02 beta 4 0.64044642E-01 beta 5 0.28873014E+00 sigma-squared 0.13667171E-01 log likelihood function = 0.46807263E+02 the final mle estimates are : coefficient beta 0 0.60946228E+01 beta 1 0.32280786E+00 beta 2 0.12639721E+00 beta 3 0.25088298E-03 beta 4 0.68383308E-01 beta 5 0.17587519E+00 delta 0 0.63315459E+00 delta 1 -0.21851031E-02 delta 2 -0.20328816E-02 delta 3 -0.12297162E-02 delta 4 -0.43064927E-01 delta 5 -0.21014442E-01 delta 6 -0.80954994E-01 delta 7 -0.15052473E+00 sigma-squared 0.62938407E-02 gamma 0.99999252E+00

standard-error 0.72271667E+00 0.11066224E+00 0.86374104E-01 0.19707308E-02 0.16186915E+00 0.14927254E+00

t-ratio 0.58680073E+01 0.41003618E+01 0.25280246E+01 0.23933171E+01 0.39565688E+00 0.19342482E+01

standard-error 0.59235503E+00 0.26145459E-01 0.75392419E-01 0.17443641E-02 0.97444148E-01 0.13184327E+00 0.90776940E-01 0.24748976E-02 0.12904089E-02 0.27333278E-02 0.14919349E-01 0.21322164E-01 0.26638796E-01 0.29200154E-01 0.83370139E-03 0.29151916E-01

t-ratio 0.10288801E+02 0.12346613E+02 0.16765241E+01 0.14382489E+00 0.70176927E+00 0.13339717E+01 0.69748395E+01 0.88290644E+00 -0.15753778E+01 -0.44989707E+00 -0.28865151E+01 -0.98556797E+00 -0.30389885E+01 -0.51549293E+01 0.75492745E+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

Lampiran 5. Lanjutan 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

0.71693782E+00 0.76984678E+00 0.77741858E+00 0.83807859E+00 0.70923288E+00 0.75988320E+00 0.78312255E+00 0.71417085E+00 0.74509992E+00 0.87304809E+00 0.78578755E+00 0.75913434E+00 0.73474182E+00 0.85327946E+00 0.99892919E+00 0.82045002E+00 0.71837176E+00 0.67259299E+00 0.77816574E+00 0.66321156E+00 0.68753126E+00 0.90392511E+00 0.71923867E+00 0.56837701E+00 0.65020368E+00 0.72078113E+00 0.71076960E+00 0.68131163E+00 0.74109713E+00 0.67797933E+00 0.67117772E+00 0.68312344E+00 0.64035920E+00 0.57481883E+00 0.57475722E+00 0.56324549E+00 0.70654903E+00 0.58484286E+00 0.73441699E+00 0.82808038E+00 0.75529530E+00 0.64658318E+00 0.59406996E+00 0.74718232E+00 0.61198300E+00 0.78831753E+00 0.65612060E+00 0.67515645E+00 0.65343703E+00 0.65199047E+00 0.68120613E+00 0.54138457E+00 0.57275094E+00


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 beta 0 beta 1 beta 2 beta 3 beta 4 beta 5 beta 6

standard-error

t-ratio

0.37346266E+01 0.49866761E+00 0.74892103E+01 0.36314256E+00 0.83598255E-01 0.43439013E+01 0.32882578E+00 0.59546951E-01 0.55221262E+01 0.38254914E-02 0.15678692E-02 0.24399302E+01 0.93221567E-01 0.11734830E+00 0.79440069E+00 0.31555838E+00 0.10134175E+00 0.31138043E+01 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 LR test of the one-sided error = 0.75739239E+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 = 120 number of time periods = 1 total number of observations = 120 technical efficiency estimates : firm year eff.-est. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

0.71487311E+00 0.78044059E+00 0.64167839E+00 0.75217395E+00 0.73774681E+00 0.74365465E+00 0.76165879E+00 0.73635755E+00 0.75058968E+00 0.87872605E+00 0.70597116E+00 0.77709727E+00 0.78585438E+00 0.85417620E+00 0.75227895E+00 0.84482449E+00 0.77053736E+00 0.76639985E+00 0.72000869E+00 0.74040633E+00 0.85346505E+00 0.78222112E+00 0.82605788E+00 0.62094540E+00 0.87688976E+00 0.84374939E+00 0.66585987E+00 0.67155989E+00 0.77389895E+00 0.71482745E+00

31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1


Lampiran 6.Lanjutan 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1



91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1


Lampiran 7. Data Pendugaan Fungsi Produksi Usahatani Padi Sawah di Kabupaten Serang Tahun 2007 A. Petani Peserta Program Pengelolaan Tanaman dan Sumberdaya Terpadu OBS 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46

Y 4 400 5 500 1 450 4 500 2 850 4 500 3 400 7 000 4 600 7 600 3 200 5 400 6 700 7 900 5 100 4 326 3 600 4 950 3 300 3 800 15 000 12 000 5 680 1 520 10 700 7 400 2 600 1 100 6 200 4 560 8 500 5 600 3 200 680 620 4 100 6 800 1 000 8 400 2 400 8 700 3 100 2 100 3 300 7 600 6 800

X1 0.7 0.8 0.3 0.7 0.4 0.8 0.5 1.1 0.7 1.0 0.5 0.8 1.0 1.0 0.8 0.6 0.5 0.7 0.5 0.6 2.0 1.6 0.8 0.3 1.4 1.0 0.5 0.2 0.9 0.7 1.2 0.8 0.5 0.1 0.1 0.6 1.0 0.2 1.3 0.4 1.3 0.5 0.4 0.5 1.0 0.9

X2 18 20 7 20 11 20 13 30 18 25 15 20 25 30 20 15 13 20 15 15 50 50 20 8 35 25 13 5 23 20 40 25 15 3 3 15 30 5 32 12 35 15 10 13 30 23

X3 215 285 70 215 165 140 160 285 235 350 130 310 340 350 285 210 185 240 170 205 670 570 260 80 480 325 105 60 320 235 425 250 180 35 34 240 300 60 470 125 425 140 100 175 350 325

X4 1 500 1 500 500 1 000 1 000 1 000 800 1 500 1 000 2 000 625 0 1 600 2 000 1 500 1 250 1 000 1 000 500 1 000 2 500 2 500 1 600 400 2 500 1 500 500 400 1 800 700 2 000 1 600 500 100 150 0 2 000 200 2 500 500 1 500 500 500 1 000 1 600 1 800

X5 9.0 10.0 3.0 7.0 5.0 8.0 6.0 13.0 8.0 11.0 6.0 9.0 11.0 12.0 8.0 7.0 7.0 8.0 6.0 7.0 27.0 20.0 9.0 3.0 16.0 12.0 5.0 2.0 12.0 8.0 14.0 10.0 6.0 1.0 1.5 6.0 11.0 2.0 15.0 5.0 15.0 6.0 5.0 6.0 12.0 10.0

X6 55.0 58.0 18.0 45.8 31.2 51.6 43.2 86.0 52.0 70.6 43.7 64.2 71.8 69.2 58.3 40.8 41.8 58.0 33.7 39.8 146.0 125.8 58.2 17.2 105.0 81.6 29.6 12.0 63.8 54.2 94.8 67.3 43.0 7.5 8.0 43.2 76.9 12.8 98.4 31.0 98.2 35.2 30.8 43.2 76.4 75.0

Lampiran 7 . Lanjutan No. Responen 47 48 49 50 51 52 53 54 55 56 57 58 59 60

Y 1 540 11 300 710 1 530 4 000 5 500 16 800 690 7 400 1 300 1 200 4 020 6 500 6 400

X1 0.3 1.50 0.14 0.30 0.60 0.80 2.40 0.13 1.00 0.25 0.20 0.60 0.99 0.90

X2 8 45 4 10 18 20 75 3 30 7 5 15 25 25

X3 70 495 40 85 200 285 730 38 330 55 70 225 340 305

X4 300 2 000 150 400 1 000 1 600 3 000 150 1 000 250 200 1 200 1 500 1 500

X5 3.0 17.0 1.5 3.0 7.0 10.0 28.0 1.5 12.0 3.0 2.0 7.0 100 10.0

X6 16.4 96.0 9.7 17.2 38.5 64.3 162.0 9.5 84.0 15.9 14.5 43.0 68.8 60.1

B. Petani Bukan Program Pengelolaan Tanaman dan Sumberdaya Terpadu No. Responen 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

Y 5 000 2 800 1 900 2 000 2 900 2 650 2 100 3 100 7 000 16 500 14 000 5 300 4 400 7 600 5 000 6 500 6 600 12 100 4 300 7 000 4 000 3 700 6 500 5 900 6 000 5 200 7 400 5 400 5 600 5 600

X1 1.0 0.5 0.3 0.3 0.5 0.4 0.4 0.5 1.1 2.6 2.3 0.9 0.7 1.2 0.8 1.1 1.0 1.9 0.7 1.2 0.6 0.5 1.0 1.0 1.2 0.8 1.5 1.0 0.8 1.0

X2 40 20 12 10 22 21 17 25 50 120 80 40 30 50 40 45 35 85 30 50 20 15 35 40 45 30 50 40 30 35

X3 325 165 125 125 160 165 130 200 400 1 070 800 300 260 450 250 360 380 620 250 380 250 190 460 410 360 390 605 275 235 350

X4 1 500 500 500 600 1 000 1 000 600 1 000 1 800 4 000 2 500 1 500 1 500 2 000 1 500 1 500 2 000 3 000 1 500 1 200 1 000 1 000 1 500 2 000 1 200 1 300 0 1 200 2 000 1 500

X5 14.6 7.2 4.8 5.1 8.1 6.2 5.7 7.1 15.8 34.9 30.1 15.6 12.1 16.2 14.0 16.6 13.0 24.3 10.3 19.8 10.2 8.3 15.8 16.0 20.0 12.7 24.7 15.6 12.7 16.3

X6 68.2 41.0 22.4 26.8 40.2 35.8 30.2 42.0 82.0 170.2 148.5 76.2 55.2 100.2 70.7 85.9 79.5 152.2 50.8 90.2 50.3 40.5 80.9 82.5 78.0 72.5 102.0 86.2 67.8 86.6

Lampiran 7 . Lanjutan No. Responen 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

Y 2 050 1 050 2 400 7 800 10 600 3 000 4 040 3 920 8 100 11 000 1 250 4 200 5 400 9 200 2 000 1 200 2 600 2 540 1 500 1 450 4 000 4 300 3 000 9 000 4 100 4 800 2 400 3 600 4 200 3 200

X1 0.5 0.2 0.4 1.5 2.0 0.5 0.8 0.8 1.6 2.2 0.3 1.0 1.3 2.0 0.5 0.2 0.4 0.4 0.3 0.3 0.8 1.0 0.5 2.0 0.8 1.0 0.5 0.7 1.0 0.8

X2 15 8 18 50 75 20 30 25 60 80 10 35 45 60 15 8 16 20 10 13 30 30 20 60 30 35 15 25 35 25

X3 160 77 145 525 720 175 250 270 475 950 95 325 415 600 145 85 145 125 110 70 125 310 120 450 250 255 160 240 400 250

X4 500 0 800 1 500 2 000 1 000 1 000 1 200 2 000 3 000 300 0 1 200 180 0 400 600 800 500 700 1 500 1 500 0 0 0 0 1 000 1 000 0 1 000

X5 8.0 3.4 6.7 24.3 32.0 8.0 11.0 10.4 23.0 36.6 4.0 15.0 17.0 24.0 6.9 3.0 6.0 6.2 5.0 5.2 10.5 14.9 7.0 31.0 9.4 13.0 8.3 8.7 14.6 10.2

X6 40.0 15.8 30.8 100.0 150.0 42.6 55.0 66.31 109.0 154.0 22.0 68.0 98.3 105.0 40.1 16.0 28.6 30.8 26.2 22.5 50.1 72.4 42.8 162.0 67.3 88.2 44.3 55.3 82.9 54.9

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 Obs 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45

Z1 34 53 43 53 35 50 50 48 45 66 70 44 64 50 50 37 45 52 35 60 56 42 56 51 45 47 55 51 50 37 44 42 50 39 42 57 54 59 29 53 47 51 43 34 60

PETANI PROGRAM PTT Z2 Z3 Z4 Z5 Z6 6 15 1.5 1 0 6 28 1.0 1 1 6 18 1.0 0 1 9 27 0.3 1 1 3 10 0.5 1 0 3 20 0.3 0 1 9 11 3.0 1 1 9 10 1.3 1 1 6 23 0.4 1 1 12 49 3.0 1 1 6 29 0.3 1 1 3 24 0.5 1 1 6 43 1.0 0 1 12 20 0.0 1 1 6 20 0.5 1 1 6 26 0.5 1 1 3 24 1.5 1 1 9 35 0.7 1 1 3 16 1.0 1 1 6 45 0.7 0 0 6 37 0.8 1 1 9 23 0.3 0 1 9 20 1.5 0 0 3 24 0.3 0 0 9 23 0.3 1 1 9 26 1.0 1 0 3 22 0.3 0 0 6 24 0.4 0 1 6 32 1.0 1 1 9 16 0.7 1 1 3 26 0.0 1 0 9 20 0.3 0 1 9 35 0.7 1 1 7 22 0.3 1 1 6 18 1.0 0 1 6 30 0.3 0 0 6 28 2.0 1 1 6 22 1.5 0 0 9 12 1.0 0 1 5 26 0.5 1 1 9 22 0.3 1 1 6 28 1.5 1 0 2 18 2.0 0 0 6 16 1.0 1 1 6 30 0.7 0 1

Z7 0 1 0 1 0 0 1 0 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 0 0 1 1 1 1 0 1 0 1 1 0 0 0 1 0 0 1 1

PETANI BUKAN PROGRAM PTT Z1 Z2 Z3 Z4 Z5 Z6 Z7 54 3 29 1.50 1 1 0 51 6 30 1.00 1 0 0 66 0 45 1.50 1 1 0 33 12 17 0.50 1 1 1 68 1 32 0.33 0 1 0 44 6 18 2.00 0 1 0 55 3 28 1.00 0 1 0 51 3 30 0.80 1 1 1 46 6 30 2.00 1 1 0 55 4 35 0.60 1 1 0 50 3 32 1.50 0 1 0 53 6 35 1.25 1 1 0 50 3 25 1.00 1 1 0 57 3 37 0.67 0 1 1 60 3 45 2.00 0 1 0 60 3 40 0.50 0 1 0 48 6 27 1.33 1 1 1 46 6 27 2.00 1 1 0 56 4 40 0.40 0 1 0 70 3 50 0.25 0 1 0 35 9 20 1.00 0 1 1 55 6 39 2.00 1 1 1 50 3 33 0.50 1 1 1 66 3 49 0.00 1 1 0 54 6 29 2.00 1 1 0 61 6 33 1.50 0 1 1 55 3 27 0.25 0 0 0 39 9 21 0.00 1 1 0 63 6 36 0.33 0 1 1 57 6 30 0.67 1 1 0 48 9 25 1.50 1 0 0 35 6 18 1.00 0 0 0 47 6 28 0.50 0 1 0 55 6 32 0.00 0 1 0 58 3 35 0.50 0 1 0 44 9 25 1.50 0 0 0 33 9 16 1.00 0 1 0 46 9 24 1.67 0 0 0 48 9 28 0.75 0 0 0 45 6 23 0.75 0 1 0 34 12 28 0.67 0 0 0 50 3 32 0.33 0 0 0 50 6 30 0.00 0 0 0 43 6 28 0.50 0 1 0 60 3 45 0.00 0 0 0

Lampiran 8. Lanjutan

Obs 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

Z1 55 40 57 46 33 61 52 40 57 54 44 34 41 38 27

PETANI PROGRAM PTT Z2 Z3 Z4 Z5 Z6 6 29 0.5 1 1 4 18 0.5 0 0 9 25 1.0 0 0 3 22 0.0 0 1 2 12 0.3 0 0 9 35 2.5 1 0 3 26 0.3 1 1 6 19 0.0 0 1 3 27 0.5 0 0 1 20 2.0 0 1 1 26 1.0 0 0 6 21 0.3 1 1 4 22 0.7 1 1 9 16 1.5 1 1 9 8 0.5 1 0

Z7 1 0 1 0 0 1 1 1 0 1 0 0 1 1 1

PETANI BUKAN PROGRAM PTT Z1 Z2 Z3 Z4 Z5 Z6 Z7 44 6 21 2.00 0 1 0 60 4 42 1.50 0 1 1 46 6 24 1.50 0 1 1 45 6 22 1.00 0 0 0 40 9 27 1.00 1 1 0 55 6 31 1.00 1 0 0 45 9 26 0.00 0 0 0 50 6 32 1.00 1 1 0 35 12 16 0.33 0 0 0 45 6 24 0.33 0 0 0 45 9 20 1.00 0 1 0 55 6 33 0.50 1 0 0 52 6 39 0.50 0 1 0 35 9 18 0.50 0 0 0 45 6 22 0.33 0 1 0

IX, 1 September Badan Pusat Statistik Jakarta

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