DAFTAR PUSTAKA. Akridge, J.T. and T.W. Hertel "Multiproduct Cost Relationship for Retail Fertiiizer Plants". Amer. J. Agr. Econ. 68 :

DAFTAR PUSTAKA Akridge, J.T. and T.W. Hertel. 1986. "Multiproduct Cost Relationship for Retail Fertiiizer Plants". Amer. J. Agr. Econ. 68 : 928938. Amang, B. 1995. Kebijaksanaan Pemasaran dan Harga Gula di Indonesia. PT. Dhafrna Karsa Utama. Jakarta. Anwar, E. 1992. Prospek Masa Depan lndustri Gula : Ditinjau dari Kebijsksanaan Sosial Ekonomi, Teknologi clan Sistem Kelembagaan. Seminar Prospek lndustri GulaIPemanis. Pusat Penelitian Perusahaan Perkebunan Gula. Azzam, AM. 1998. "Testing for Vertical Economies of Scope: An Example from U.S. Pig Production". J. Agr. Econ. 49 : 427-433. Ball,

E. V. 1988. "Modelling Supply Response in a Framework". Arner. J. Agr. Econ. 70 : 813825.

Multiproduct

Baumol, W.J., Panzar, J.C. and Willig, R.O. 1982. Contestable Markets and the Theory of industry Structure. New York : Harcourt Brace Jovanovich. Beattie, B.R. and C.R. Taylor. 1985. The Economics of Production. John Wiley & Sons. New York. Berndt, E.R. 1991. Practice of Econometrics : Classic and Contemporary. Addison Wesley Publishing Company. Massachusetts. Besley, R., T. Young and D. Colman. 1987. "A System Aproach to Modelling Suppty Equations in Agriculture". Int. J. Agr. Econ. : 151-166. Binswanger, H.P. 1974. "A Cost Function Approach to the Measurement of Elasticit~es of Factor Demand and Elasticities of Distribution". Amer. J. Agr. Econ. 56 : 377-386. Breusch,T.S., and A.R. Pagan. 1980. "Lagrange Multiplier Test and Its Application to Model Specification in Econometrics". Review Economic Studies 47 : 239-253. Chambers, R.G. 1988. Applied Production Analysis : A Dual Approach. New York: Cambridge University Press.

Chambers, R.G. and R.E. Just. 1989. "Estimating Technologies". Amer. J. Agr. Econ. 71:980-995.

Multi-output

Chand, R. and J.L. Kaul. 4986. "A Note on the Use of the Cobb-Douglass Profit Fundion". Amer. J. Agr. Econ. 68 : t62-164. Christensen, L.R., D.W. Jorgenson and L.L. Lau-1973. "Transcendental Logarithmic Production Frontiers". Rev. Econ. Stat. 55 : 28-45. Christensen, L.R. and W. H. Green. 1976. "Economic of Scale in U.S. Electric Power Generator". Journal of Political Economics 84 : 655 - 676. Comejo, J.F., C.M. Gempesaw II, J.G. Elterich and S.E. Stefanou. 1992. "Dynamic Measure of Scope and Scale Economies : An Application to German Agriculturen.Amer. J. Agr. Econ. 74 : 329-342. Debertin, D.L. 1986. Agricultural Production Publishing Company. New York.

Economics.

Macmillan

Dewa, K.S.S. 1996. "The Measurement of Total Factor Productivity Growth using Production Frontier : A Case of lnigated Rice Farming in West Java". Jurnal Agro Ekonorni 15 : 1-19. Dibyo Prabowo. 1978. "Penghijauan dan Pemanfaafan Air: Kasus dl DAS Solo Hulu". Prisma 8 : 70-76. Djojosubroto, D.I. 1995. Masalah Gula di Tengah Dinamika Ekonomi Indonesia. Seminar Pergulaan Nasional dalam Rangka Menghadapi Perdagangan Bebas. Badan Litbang Departemen Pertanian dan Yayasan Sacharosa. Jakarta. Erwidodo. 1990. Panel Data Analysis of Farm Levet Efficiency, Input Demand and Output Supply of Rice Farming in West Java, Indonesia. Ph.D. Thesis. Michigan University. Falcon, W.P., W.O. Jones and S.R. Pearson. 1986. Ekonomi Ubikayu di Jawa. Penerbit Sinar Harapan. Jakarta. Ferrantino, M.J., G.D. Ferrier and C.B. Linvill. 1994. Organizational Form and Efficiency: Evidence From Indian Sugar Manufacturing. U.S. International Trade Commission Office of Economics. Washington. Gabriel, K. R. 1971. The Biplot Graffic Display of Matrices with Application to Principle Component Analysis. Biometrika 58 : 345-467.

Gonarsyah, I., S. Hartoyo, A. Susmiadi. 1991. Keragaan lnpres 911975 dan Prospek Pengembangan Perkebunan Nasional. Makalah Seminar P3GI. Gujarati, D.N. 1988. Basic Econometrics. Mc Graw-Hill International Edition. New York. Gunawan, M. 1988. Adoption and Bias of New Agricultural Innovation in Jawa Barat, Indonesia. Ph.D. Thesis. University af Minnesota. Hartoyo, S. 1994. Pengaruh lnfrastruktur terhadap Penawaran Tanaman Pangan di Jawa : Pendekatan Multi-input Multioutput. Disertasi Doktor. Program Pascasarjana, lnstitut Pertanian Bogor. Henderson, J. M., and R. E, Quandt. 1980. Microeconomic Theory : A Mathematical Approach. Singapore : Mc Graw Hill Book Co. Third Edition. Intriligator, M. D. 1978. Econometric Models. Techniques Applications. Prentice-Half, Inc. New Jersey.

and

Johnson, J. W. and Wichem. 1993. Applied Multivariate Analysis. John Wley and Sons. New York. Jollife, L.T. 1986. Principle Component Analysis. Springer-Verlay. New York. Jonasson, L. 1997. "A Policy Oriented Multi-input and Multi-output Measure of Overall Efficiency and its Decomposition". J. Agr. Econ. 48 : 52-64. Jorgenson, D. W. and L.J. Lau. 1974. "The Duality of Technology and Economic Behaviour". Review of Economic Studies 41 : 181 - 200. Koestono. 1991. Kemampuan lndustri Gula Pasir untuk Mencapai Swasembada. Majalah Pangan 8 (2). Bulog. Jakarta. Koutsoyiannis, A. 1977. Theory of Econometrics : An Introductory Exposition of Econometric Methods. Second Edition. Macmillan Education Ltd. London. Lau. L. J. 1972. "Profit Functions of Technologies with Multiple Inputs and Outputs". Rev. Econ. Stat. 54 : 281-289. . 1976. "A Characterization of the Normalized Restricted Profit

Function". Journal of Economic Theory 12 : 137-163.

~

Lau, L. J. 1978. Application of Profit Function M. Fuss and Mc Fadden (eds.), Production Economics : A Dual Approach to Theory and Application, 1 : 133-216. Amsterdam : North-Holland Publishing Co. Lau, L. J. and P. A. Yotopoutos. 1972. "Profit, Supply Demand Functions". Amer. J. Agr. Econ. 54 : 1?-18.

and Factor

Lopez, R. E. 1984. "Estimating Substitution and Expansion Effects Using a Profit Function Framework". Amer. J. Agr. Econ. 66 : 358-367. . 1985. 'Structural

Implication of A Class of Flexibte Functional Form for Profit Functions". Int. Econ. Rev. 26 : 593-601.

Mackie, J.A.C. and W.J. O'Malley. 1988. "Productivity Decline in the Java Sugar Industry from an Olsonian Perspective, in Comparative Studies in Society and History". An International Quarterly of Cambridge University Press 30 : 725-749. Moore, M.R., N.R. Gollehon and M. B. Carey. 1994. "Multicrop Production Decisions in Western Irrigated Agriculture : The Role of Water Price". Amer. J. Agr. Econ. 76 : 859-874. Mosher, A. T. q965. Menggerakkan dan Membangun Pertanian. Saduran oleh S. Krisnadhi dan B. Samad. Jakarta: C.V. Yasaguna. Mubyarto dan Daryanti. 1991. Gula: Kajian Sosial Ekonomi. Aditya Media, Yogyakarta. Mulyana, A. 1998. Keragaan Penawaran dan Permintaan Beras Indonesia dan Prospek Swasembada Menuju Era Perdagangan Bebas : Suatu Analisis Simulasi. Disertasi Doktor. Program Pascasarjana lnstitut Pertanian Bogor. Nelson, G. C. and M. Panggabean. 1991. "The Costs of Indonesian Sugar Policy". Arner. J. Agr. Econ. 73 : 703-712. Pakpahan, A. 1982. Analisis Fungsi Produksi Usahatani untuk Menunjang Pengembangan Daerah Aliran Sungai Cimanuk. Jurnal Agro Ekonomi 1 : 2849. Panggabean, M. 1995. Quo Vadis lndustri Gula di Jawa. Seminar Pergulaan Nasional dalam Rangka Menghadapi Perdagangan Bebas. Badan Litbang Departemen Pertanian dan Yayasan Sacharosa. Jakarta.

Pindyck, R.S. and D. L. Rubinfeld. 1991. Econometric Models and Econometric Forecasts. Third Edition. Mc Graw-Hill Inc. New York. Pope, R.D. and A. Hallam. 1988. "Separability Testing in Production Economics". Amer. J. Agr. Econ. 70 : 142-152. Prabowo, D. 1996. Monitoring dan Analisa Prospek lndustri Gula di Jawa. Center for Policy and Implementation Studies (CPIS). Jakarta. Pusat Penelitian Perusahaan Perkebunan Gula Indonesia (P3Gf). 1997. lkhtisar Angka Perusahaan Masa Giling 4980-1997. 1992. Pemikiran Arah Penefitian dan Pengembangan Sub SeMor Perkebunan Gula pada Pembangunan Jangka Panjang Tahap I1 dan Khususnya Repelita VI. Pusat Penelitian Perkebunan Gula Indonesia. Pasuruan. PSE dan P3GI. 2996. Dinamika Ekonomi Tebu Rakyat dan lndustri Gula Indonesia. Studi Panel Petani Tebu. PSE dan P3GI Buku II.Bogor. Ray, S.C. 1982. "A Translog Cost Function Analysis of U.S. Agriculture, 1939 - 77". Amer. J. Agr. Econ. 64 : 490-498. Rosegrant, M.W., F. Kasryno, L.A. Gonzales, C.A. Rasahan and Y. Saerfudin. 1987. Price and lnvestment Policies in the Indonesian Food Crop Sector, IFPRI, Washington D.C., and CASER, Bogor. Rossi, N. 1984. "The Estimation of Product Supply and Input Demand by The Differential Approach. Amer. J. Agr. Econ. 66 : 368375. Rusastra, I. W., A. Supanto dan A.N. Amsari. 1999. Keunggulan Komparatif, Struktur Proteksi dan Perdagangan lnternasional Gula Indonesia. Dalam Ekonomi Gula di Indonesia, hal. 421 - 475. Disuntincl oleh Sawit, M.H, P. Suhamo dan A. Rachman. Penerbit lnstitut Pertenian Bogor. Salmon, D. C. 1984. An Evaluation of Investment in Agricultural Research in Indonesia, 1965-1977. Ph. D Thesis. Faculty of The Graduate School of The University of Minnesota. Sawit, M. H. 1985. Fungsi Respon dan Fungsi Permintaan Tenaga Kerja. Jurnal Agro Ekonomi 4 : 1-10. Sawit, M. H.,and D.T. O'Brien. 1991. Multiple Output Model of West Javanese Rice Farmers. Working Paper Series. Department of Economics, University of Wollongong.

Sawit. M.H. 1993. A Farm Household Model for Rural Households of West Java, Indonesia. Ph. D. Dissertation. Department of Economics, The University of Wollongong, New South Wales.

. 1998. Dua Puluh Dua Tahun Program TRI di Jawa. Agro ) : 37-56. Ekonometrika XXVlll (-l

Sawit, M.H., P. Suhamo dan A. Rachman. 1999. Ekonomi Gula di Indonesia. Penerbit lnstitut Pertanian Bogor. Sekretariat Dewan Gula Indonesia. 1997. Rencana Operasional Pemecahan Permasalahan lndustri Gula di Indonesia. Shumway, C.R. 1983. "Supply, Demand and Technology in a Multiproduct Industry: Texas Field Crops". Amer. J. Agr. Econ. 65 : 748-760. Shumway, C.R., R.D. Pope and E.K. Nash. 1984. "Allocatable Fixed Inputs and Jointness in Agricultural Production : Implication for Economic Modelling". Amer. J. Agr. Econ. 66 : 72-78. Shumway, C.R., and W.P. Alexander. 1988. "Agricultural Product Supplies and lnput Demands : Regional Comparisons". Amer. J. Agr. Econ. 70 : 153-161. Shumway, C.R.,R.R. Saez and P.E. Gottret. 1988. "Multiproduct Supply and lnput Demand in U.S. Agriculture". Amer. J. Agr. Econ. 70 : 320337. Sidhu, S.S., and C. A. Baanante. 1981. "Estimating Farm-Level lnput Demand and Wheat Supply in the Indian Punjab Using a Translog Profit Function". Amer. J. Agr. Econ. 63 : 237-246. Silberberg, E. 1981. The Structure of Economics. A Mathematical of Analysis. Auckland : Mc Graw Hill International Book Company. Simatupang, P. 1987. Fungsi Keuntungan : Landasan Teori Terapannya. Pusat Penelitian Agro Ekonomi, Bogor.

dan

. 1988. Penentuan Ekonomi Skala Usaha dengan Fungsi Keuntungan : Landasan Teoritis dengan Contoh Fungsi CobbDouglass dan Translog. Jumal Agro Ekonomi, 7:l-16. Pusat Penelitian Agro Ekonorni, Badan Penelitian dan Pengembangan Pertanian. Departemen Pertanian.

Simatupang, P., dan Mewa. 1987. Efisiensi Teknis Usahatani Kubis di Desa Galagah, Surnatera Barat. Pusat Penelitian Agro Ekonomi, Mimeo. Simatupang, P., I.W. Rusastra and B. lrawan (1990). Economic Incentives and Comparative Advantage in Livestock and Feedstuff Production : A Methodological Introduction, in Kasryno, F. and P. Simatupang (Eds.), Comparative Advantage and Production Structures of Livestock and Feedstuff Subsectors in Indonesia. CASER, AARD. Bogor. Sirnatupang, P., A. Rachman dan L. Peiitasari. 1999. Gula Dalam Kebijaksanaan Pangan Nasional : Analisis Historis. hal. 476 - 534. Dalam Ekonomi Gula di Indonesia. Disuntina oleh Sawit, M.H., P. Suhamo #an A. Rachman. Penerbit lnstitut Pertanian Bogor. Sinaga, R.S. 1975. A Normative Sugar Cane Supply Function and Optimum Land Rental Plan for A Proposed Expansion of the Sragi Sugar Factory in Central Java Indonesia. Ph.D. Dissertation. Montana State University. Soentoro, N. lndarto dan A.M.S. Ali. 1999. Usaha Tani dan Tebu Rakyat lntensifikasi di Jawa. Dalam Ekonomi Gula di Indonesia. Disunting oleh Sawit, M.H, P. Suharno dan A. Rachman. Penerbit lnstitut Pertanian Bogor. Soetrisno, N. 1984. Farmers, Millers and Sugar Production in Indonesia. Ph.D. Dissertation. University of the Phillippines. . 1991. Penelitian Tentang lndustri Pengolahan Gula Pasir di

Indonesia. BULOG. Jakarta. Squires, D. 7987. "Long-Run Profit functions for Multiproduct Firms". Arner. J. Agr. Econ. 69 : 558-569. Statistik Bulog 1969-1991, 1983-1993, 1986-1996. Badan Urusan Logistik. Jakarta. Sugianto, T. 1985. "Production Efficiency of Cauliflower (Brassica Oleracca var Botrytys) at Ciarutan, West Java, Indonesia". Jurnal Agro Ekonomi 4 : 27-39. Suryana, A. 1987. "Keterbatasan Fungsi Cobb-Douglass dalarn Pendugaan Elastisitas Permintaan input". Jurnal Agro Ekonomi 6 : 19-28.

Timmer, P. q987. The Corn Economy of Indonesia. Comell University Press, Ithaca. Weaver, R.D. 1983. "Multi-Input, Multi-Output Production Choices and Technology in the U.S. Wheat Region". Amer. J. Agr. Econ. 65 : 45-56. Wbisono, C. 1995. Gula dari Era Oei Tiong Ham Concern ke Era Robert Kuok. Seminar Pergulaan Nasional dalam Rangka Menghadapi Perdagangan Bebas. Badan Litbang Departemen Pertanian dan Yayasan Sacharosa. Jakarta. World Bank. 1982. Indonesia : Policy Options and Strategies for Major Food Crops. East Asia and Pasific Regional Office. Report No. 36866-IND. Zellner, A. (1963). "Estimations of Seemingly Unrelated Regressions : Some Exact Finite Sample Results". J. Arner. Stat. Ass. 58 : 977-992.

Lampiran Tabel 1.

No

Pabrik Gula

1

Asembagus Panji Olean Wringinanom Prajekan De Maas Semboro Pajarakan Gending Jatiroto Wonolangan Kedawung Kebon Agung Krebet Baru I Krebet Baru I1 Candi Baru Krian Watutulis Tulangan Krembung Gempolkrep Cukir Jombang Baru ~gadirejo Pesantren Baru

2 3

4 5 6 7 8

9 10 11

12

13 14 15 16

17 18 19 20

1

21

1 22

23 24 25

I d e n t i f i k a s i Pabrik Gula berdasarkan Tahun Pendirian dan Jumlah Hari Giling, Jam Berhenti Giling s e r t a Kapasitas Giling Periode 1990-1997.

Tahun Didirikan

Hari Giling

Jml

Jan berhenti terhadap tot 1 jam gi I diluar Hari Jumlah Libur

.ing/24 jam

lain

I I

Terhitung jam berhenti (ton) 2 323.4 1 449.2 938.0 1 124.9 2 627.8 805.2 4 263.7 1 106.5

1 336.9 5 660.7 1 258.2

2 866.4

3 329.6

2 851.5 3 518.9 1 626.2

1 065.4

1 955.6 1 346.1 1 379.3 5 300.4

2 379.1

1 937.4 4 860.0 5 260.6

Lampiran Tabel 1. Lanjutan.

No

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

Pabrik Gula

Moj opanggung Merican Lestari Rejoagung Baru Kanigoro Pagottan Rejosari Pumodadi Sudhono Mojo Tasi lanadu Colomadu Ceper Baru Gondang Baru Madukismo Kalibagor Trangkil Pakis Baru Rendeng Cepiring Sragi Sumberharj o Pangka Jatibarang Banjaratma Tersana Baru

Tahun Didirikan

Jml Hari Giling

1852 1918 1909 1954 1894 1884 1890 1832 1884 1883 1871 1871 1927 1860 1955 1839 1835 1825 1840 1835 1836 1911 1836 1842 1909 1937

142 158 143 123 112 127 134 135 135 123 115 86 111 122 137 99 166 153 133 103 152 139 121 93 104 114

Jumlah

7.95 6.75 8.30 7.85 12.98 16.29 4.60 4.11 5.41 17.32 10.44 16.92 13.64 9.72 3.95 28.62 5.53 8.66 6.69 22.27 21.14 11.19 12.67 9.56 7.16 8.48

Jam berhenti % jam g i l i n g Sebab d i l u a r pabrik Sebab dalam Kurang Hari Lainpabrik Tebu Libur lain

4.08 3.18 5.33 5.48 11.63 5.20 1.53 3.00 1.80 5.89 3.74 6.71 5.63 7.13 2.45 28.05 5.25 7.66 5.73 3.43 12.59 8.75 7.45 4.07 2.97 3.62

3.85 3.43 2.95 2.37 1.35 11.09 3.07

0.02 0.14 0.02

1.11 3.61 11.43 6.70 10.21 8.01 2.59 1.50 0.57 0.28 1.00 0.96 18.58 7.05 0.93 5.22 5.42 4.19 4.59

0.14

0.26 1.36 1.51 0.07 0.27

Kapasitas giling/24 jam Terhitung Tak t e r h i t u n g jam berhenti jam berhenti (ton) (ton)

2 698.9 2 707.1 3 778.7 4 921.4 1 775.7 2 810.7 1 996.8 2 011.1 2 343.8 2 655.6 3 229.7 1 084.6 1 430.5 1 500.3 2 988.0 1 051.5 3 165.7 3 232.0 2 690.6 1 807.6 3 062.2 1 793.5 1 662.7 1 899.7 1 470.1 3 002.6

2 2 3 4 1 2 1 1 2 2 2

1 1 2 3 2 2 1 2 1 1 1 1 2

500.1 536.0 489.1 562.6 571.6 603.4 909.0 931.8 223.5 263.6 924.4 927.6 258.8 367.3 874.4 817.6 000.0 974.8 521.8 478.4 527.7 613.0 475.7 735.0 372.0 768.0

Lampiran Tabel 1. Lanjutan. Jam berhenti % jam giling Sebab diluar pabrik Sebab dalam Kurang Hari Lainpabrik Libur Tebu lain

Tahun Didirikan

Jml Hari Giling

Jumlah

Karangsuwung Sindanglaut Gempol Jatiwangi Kadhipaten Bone Gunung Madu Jatitujuh Sei Semayang Kuala Madu Cintamanis Bungamayang Subang Takalar Camming Pelaihari Gula Putih Mataram 69 Naga Manis 70 Sweet Indo

1896 1896 1847 1896 1876 1962 1978 1980 1982 1983 1984 1984 1982 1981 1981 . 1981

104 101

11.40 10.99

10.84 5.36

0.56 5.60

38 75 95 162 87 140 153 156 130 113 105 95 99

10.36 17.24 33.94 12.98 19.82 49.86 28.29 20.03 21.37 11.62 8.37 43.20 30.07

5.72 8.43 27.32 1.15 15.11 3.94 2.02 6.13 9.30 9.48 8.25 12.19 5.31

4.64 8.81 6.62 4.88 4.71 34.55 17.87 13.90 12.07 2.14 0.12 31.01 24.76

1985 1992

165 51

12.87 42.64

2.84 76.01

4.61 8

LamPUng

1995

112

23.54

12.83

9.96

No

Pabrik Gula

52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68

0.03

Kapasitas giling/24 jam Tak terhitung Terhitung jam berhenti jam berhenti (ton) (ton) 1 837.4 1 314.2 1 1 2 11 3 4 4 4 5 2 2 2 4

049.3 127.6 318.7 396.0 740.9 004.0 078.0 884.7 636.3 933.5 974.8 503.5 352.1

1 6494 1 184.0

1 9 3 2 3 4 4 2 2 1 3

950.8 961.5 731.2 918.0 122.1 891.0 401.0 069.7 644.0 628.2 745.0 748.2 346.1

0.13

6.82

8.82 8.40

2.55

0.09

5.33 5.75

11 047.0 3 311.9

9 852.7 633.7

0.75

8 482.2

6 865.9

Lampiran Tabel 3. Program SAS untuk Menduga Parameter Fungsi Biaya Translog a.

Program tahapan data

/ + + + *Program SAS 6.12 for Windows *+**/ /+*** Tahapan Mempersiapkan Data * * * / libname victor 'c: \user\Victor Siagian (EPN99)' ; option nonumber nodate; title ' '; proc format; value fkps low-<3000 = 'Rendah' 3000-<6000= 'Sedang' 6000-high = 'Tinggi'; run ; / + Konversi nilai nominal ke nilai riil + /

data gab; set victor.data1; format kps fkps ; if n->546 then delete; label x1 = 'Tebu giling (ton)' x2 = 'Bahan bakar (kg)' x3 = 'Tenaga kerja (orang)' pxl = 'Harga tebu giling (Rp/kg)' px2 = 'Harga Bahan bakar (Rp/kg) ' px3 = 'Upah Tenaga kerja (Rp/tahun)' cxl = 'Biaya tebu giling (x Rp 1000) ' cx2 = 'Biaya Bahan bakar ( x Rp 1000)' cx3 = 'Biaya Tenaga kerja (x Rp 1000) ' zl = 'Biaya Management (x Rp 1000) ' 22 = 'Biaya penyusutan (x Rp 1000) ' ql = 'Produksi Gula (ton)' = 'Produksi tetes (ton)' q2 = 'Harga Gula (Rp/kg)' pql pq2 = 'Harga tetes (Rp/kg)' trql = 'Penerimaan Gula (x Rp. 1000) ' trq2 = 'Penerimaan tetes (x Rp. 1000)' kc = 'Total biaya ( x Rp. 1000) ' phi = 'Laba/Rugi (x Rp. 1000) ' t = 'Trend Teknologi' dl = 'Dummy Status (l=Swasta, O=BUMN)' d2 = 'D-y kapasitas (l=Rendah. O=lainnya)' d3 - 'D -y kapasitas (l=sedang, O=lainnya) ' d4 = 'Dummy lokasi (O=luar Jawa, l=Jawa) ' d5 = 'Dummy Proses Pabriksasi (O=Karbonatasi, l=Sulfatasi)' d6 = 'Dummy rendemen (O=lebih kecil 7%. l=sama atau lebih besar 7%) = 'Kapasitas'; kps run;

.

/ * Manipulasi Data * / data victor. dtl; set gab;

/***

Total Biaya Variabel * * * /

/*** Share ***/ stebu=cxl/biaya; sbakar=cxZ/biaya; stenaga=cx3/biaya; sgula=trql/biaya; stetes=trq2/biaya;

/*** Harga Input htebu=pxl ; hbakar=px2; htenaga=px3/12; hgula=pql; htetes=pq2;

***/

/ * * Transformasi Logaritma lb=log (biaya); hxl=log (htebu); hxZ=log (hbakar); hx3=log (htenaga); hyl=log [hgula); hyZ=log (htetes); yl=log (qll ; y2=log ( q2 l ; m=log(zl) ; s=log ( 22 ) ; / * * Variabel Interaksi * * * /

***/

Label = 'Log. h a r g a t e b u g i l i n g ' hxl hx2 = 'Log. harga Bahan b a k a r ' hx3 = 'Log. upah Tenaga k e r j a ' yl = 'Log. p r o d u k s i Gula' y2 = 'Log. p r o d u k s i t e t e s ' = 'Log. h a r g a Gula' hyl = 'Log. h a r g a t e t e s ' hy2 m = 'Log. b i a y a Management' s = 'Log. b i a y a p e n y u s u t a n ' lb = 'Log. t o t a l b i a y a V a r i a b e l ' t = 'Tahun' stebu = 'Share tebu' sbakar= ' S h a r e bahan b a k a r ' stenaga= 'Share tenaga k e r j a ' = 'Share gula' sgula s t e t e s = 'Share t e t e s ' dl - 'Dummy S t a t u s ( l = S w a s t a , O=BUMN) ' d2 = 'Dummy k a p a s i t a s (l=Rendah, O=lainnya) ' d3 = 'Dummy k a p a s i t a s (l=Sedang, O=lainnya) ' d4 = 'Dummy l o k a s i (O=luar Jawa, l = J a w a ) ' d5 = 'Dummy P r o s e s P a b r i k s a s i (O=Karbonatasi, l = S u l f a t a s i ) ' ; d6 = 'Dummy rendemen (O=lebih k e c i l 7 8 , l=sama a t a u l e b i h b e s a r 7 % ) run;

/**** b.

Akhir P r o s e s Data

*****/

Program pendugaan p a r a m e t e r rnemasukkan dummy Dl

/***** /*****

f u n g s i b i a y a t r a n s l o g dengan

Program SAS 6.12 f o r windows * * * * / Tahapan Pembentukan Fungsi Biaya T r a n s l o g

libname v i c t o r

'c:\user\Victor

Siagian

****/

(EPN99)';

o p t i o n nonumber nodate; t i t l e ' '; data d t ; s e t victor.dt1; run : options ls=75;

T i t l e 1 ' H a s i l A n a l i s i s Fungsi B i a y a ' ; T i t l e 2 ' F u n g s i Biaya T r a n s l o g K u a d r a t i k dengan R e s t r i k s i

(Dl)';

p r o c s y s l i n d a t a c d t sur s i m p l e ; Eql: model l b = y l y2 h x l hx2 hx3 m s y l y l y2y2 yly2 h x l h x l hxlhx2 hxlhx3 hx2hx2 hx2hx3 hx3hx3 mm ss ms y l h x l ylhx2 y l h x 3 y2hxl y2hx2 y2hx3 ylm y l s y2m y2s hxlm h x l s hx2m hx2s hx3m hx3s t t t t h x l thx2 t h x 3 t y l t y 2 d l h x l d l h x 2 d l h x 3 dl/dw;

Eq2: model Stebu=yl y2 hxl hx2 hx3 m s t dl; Eq3: model Sbakar=yl y2 hxl hx2 hx3 m s t dl; srestrict eql.hxl+eql.hx2+eql~h~3+eql.dlhxl+eql~dlhx2+eql~dlhx3=l; srestrict eq2.hxl+eq2.hx2+eq2-hx3=0, eq3.hxl+eq3.hx2+eq3.hx3=0, eql.ylhxl+eql.ylhx2+eql.ylhx3=0, eql. y2hxl+eql. y2hx2feql. y2hx3=O0 eql.hxls+eql.hx2s+eql.h~3s=O, eql.hxlm+eql.hx2m+eql.hx3m=0, eql.thxl+eql.thx2+eql.thx3=0. eql.dlhxl+eql.dlhx2+eql.dlhx3=0: srestrict eql.hxl=eqZ.intercept, eql.hxZ=eq3.intercept; srestrict eql.ylhxl=eqZ.yl, eql.y2hxl=eq2.y2, eql hxlhxl=eq2. hxl, eql.hxlhx2=eq2,hx2, eql.hxlhx3=eq2. hx3, eql.hxlm=eq2 .m, eql.hxls=eqZ.s, eql.thxl=eqZ.t, eql dlhxl=eq2 .dl, eql.ylhxZ=eq3.y1, eql.y2hx2=eq3.y 2 , eql.hxlhx2=eq3.hxl, eql.hx2hxZ=eq3.hx2, eql.hxZhx3=eq3.hx3, eql.hxZm=eq3.m, eql. hxZs=eq3. s, eql.thx2=eq3.t, eql.dlhxZ=eq3.d1;

.

.

/ * * * * Pengujian Dummy Gabungan (Slope) * * * * / sTest Eql.dlhxl=Eql.dlhx2=O/print; run;

c.

Program pendugaan parameter fungsi biaya translog dengan memasukkan dummy D2 & D3

Title2 'Fungsi Biaya Translog Kuadratik dengan Restriksi (D2

&

D3)';

proc syslin data=dt sur; Eql: model lb=yl y2 hxl hx2 hx3 m s ylyl y2y2 yly2 hxlhxl hxlhx2 hxlhx3 hx2hx2 hx2hx3 hx3hx3 mm ss ms ylhxl ylhx2 ylhx3 y2hxl y2hx2 y2hx3 ylm yls y2m y2s hxlm hxls hx2m hx2s hx3m hx3s t tt thxl thx2 thx3 tyl ty2 d2hxl d2hx2 d2hx3 d3hxl d3hx2 d3hx3 d2 d3/dw; Eq2: model Stebu=yl y2 hxl hx2 hx3 m s t d2 d3; Eq3: model Sbakar=yl y2 hxl hx2 hx3 m s t d2 d3; srestrict e q l . h x l + e q l . h x 2 + e q l ~ h x 3 + e q l . d 2 h x 2 + e q l . d 2 h x 3 + eql.d3hxl+eql.d3hx2+eql~d3hx3=1; srestrict eq2.hxl+eq2.hx2+eqZ.h~3=0. eq3.hxl+eq3.hxZ+eq3.h~3=0, eql.ylhxl+eql.ylhx2+eq1.y1hx3=0, eql.y2hxl+eql.y2hx2+eql1y2hx3=0,

eql.hxls+eql.hx2s+eql.h~3s=O, eql.hxlm+eql.hx2rn+eql.h~3m=O, eql.thxl+eql.thx2+eql.thx3=0, eql.d2hxl+eql.d2hx2+eql. d2hx3=0, eql.d3hxl+eql.d3hx2+eql.d3hx3=0; srestrict eql.hxl=eq2.interceptr eql.hx2=eq3.intercept; srestrict eql.ylhxl=eq2.yl, eql.y2hxl=eqZ.y2, eql.hxlhxl=eq2.hxl, eql.hxlhx2=eq2.hx2, eql.hxlhx3=eq2.hx3, eql.hxlm=eqZ.m, eql.hxls=eq2.s, eql.thxl=eq2.t, eql.d2hxl=eq2.d2, eql.d3hxl=eq2.d3, eql.ylhxZ=eq3.y1, eql y2hx2=eq3.y2, eql.hxlhx2=eq3.hxl, eql.hx2hx2=eq3.hx2, eql.hxZhx3=eq3.hx3, eql.hxZm=eq3.m, eql.hx2s=eq3.s, eql thxZ=eq3. t, eql.d2hx2=eq3.d2, eql.d3hx2=eq3.d3; / * * * * Pengujian Dummy Gabungan (Slope) * * * * / sTest Eql.d2hxl=Eql.d2hx2=0, Eql.d3hxl=Eql.d3hx2=O/print; run :

. .

d.

Program pendugaan parameter fungsi biaya translog dengan memasukkan dummy D4

Title2 'Fungsi Biaya Translog Kuadratik dengan Restriksi (04)'; proc syslin data=dt sur; Eql: model lb=yl y2 hxl hx2 hx3 m s ylyl y2y2 yly2 hxlhxl hxlhx2 hxlhx3 hx2hx2 hx2hx3 hx3hx3 mm ss ms ylhxl ylhx2 ylhx3 y2hxl y2hx2 y2hx3 ylm yls y2m y2s hxlm hxls hx2m hx2s hx3m hx3s t tt thxl thx2 thx3 tyl ty2 dlhxl d4hx2 d4hx3 d4/dw; Eq2: model Stebu=yl y2 hxl hx2 hx3 m s t d4; Eq3: model Sbakar=yl y2 hxl hx2 hx3 m s t d4; srestrict eql.hxl+eql.hx2+eql.hx3+eql~d4h~1+eq1.d4hx2+eql.d4hx3=1; srestrict eq2.hxl+eq2.hx2+eq2.hx3=0, eq3.hxl+eq3.hx2+eq3.hx3=0, eql.ylhxl+eql.ylhx2+eql.ylhx3=0. eql.y2hxl+eql.y2hx2+eql~y2hx3=0, eql.hxls+eql.hx2s+eql.h~3s=O, eql.hxlm+eql.hx2m+eql.hx3m=O, eql.thxl+eql.thx2+eql.thx3=0, eql.d4hxl+eql.d4hx2+eql.d4hx3=0;

srestrict eql.hxl=eq2.intercept, eql.hxZ=eq3.intercept; srestrict eql.ylhxl=eq2.yl, eql.yZhxl=eqZ.y2,

.

.

eql hxlhxl=eq2 hxl, eql hxlhx2=eq2.hx2, eql.hxlhx3=eq2.hx3, eql hxlm=eq2 .m, eql.hxls=eqZ.s, eql thxl=eq2.t, eql d4hxl=eq2.d4, eql.ylhx2=eq3.yl. eql y2hx2=eq3.y2. eql.hxlhx2=eq3.hxl, eql.hxZhxZ=eq3.hx2, eql.hxZhx3=eq3.hx3, eql hx2m=eq3.m, eql hxZs=eq3. s, eql.thxZ=eq3.t, eql.d4hx2=eq3.d4;

. . . .

.

. .

/ * * * * Pengujian Durmny Gabungan {Slope) * * * * / s ~ e s tEql.d4hxl=Eql.d4hx2=O/~rint; run;

e.

Program pendugaan parameter fungsi biaya translog dengan memasukkan dummy D5

Title2 'Fungsi Biaya Translog Kuadratik dengan Restriksi (D5)';

proc syslin data=dt sur; Eql: model lb=yl y2 hxl hx2 hx3 m s ylyl y2y2 yly2 hxlhxl hxlhx2 hxlhx3 hx2hx2 hx2hx3 hx3hx3 mm ss ms ylhxl ylhx2 ylhx3 y2hxl y2hx2 y2hx3 ylm yls y2m y2s hxlm hxls hx2m hx2s hx3m hx3s t tt thzl thx2 thx3 tyl ty2 d5hxl d5hx2 d5hx3 d5/dw; Eq2: model Stebu=yl y2 hxl hx2 hx3 rn s t d5; Eq3: model Sbakar=yl y2 hxl hx2 hx3 m s t d5; srestrict eql.hxl+eql.hx2+eql.hx3+eql.d5hxl+eql.d5hx2+eql.d5hx3=1; srestrict eq2.hxl+eq2.hx2+eq2.hx3=0, eq3.hxl+eq3.hx2+eq3.hx3=0, eql.ylhxl+eql.ylhx2+eql.ylhx3=0, eql.y2hxl+eql.y2hx2+eql.y2hx3=0, eql.hxls+eql.hx2s+eql~hx3~=0, eql.hxlm+eql.hx2m+eql.h~3m=0, eql.thxl+eql.thx2+eql.thx3=0, eql.d5hxl+eql.d5hx2+eql.d5hx3=0; srestrict eql.hxl=eq2.intercepk, eql.hxZ=eq3.intercept; srestrict eql.ylhxl=eq2.yln eql y2hxl=eq2.y2, eql.hxlhxl=eq2.hxl, eql.hxlhx2=eq2.hx2, eql.hxlhx3=eq2.hx3, eql.hxlm=eq2.m. eql.hxls=eq2.s, eql.thxl=eqZ.t, eql.d5hxl=eqZ.d5,

.

.

eql ylhx2=eq3.yl, eql.y2hx2=eq3.y2, eql.hxlhxZ=eq3.hxl, eql hx2hx2=eq3.hx2, eql.hx2hx3=eq3.hx3, eql hx2m=eq3.m, eql.hx2s=eq3.s, eql.thxZ=eq3.t, eql.d5hx2=eq3.d5;

.

.

/**** Pengujian Dunnny Gabungan (Slope) ****/

run

f.

.Program pendugaan parameter fungsi biaya translog dengan memasukkan dummy D6

Title2 'Fungsi Biaya Translog Kuadratik dengan Restriksi (d6)'; proc syslin data=dt sur simple; Eql: model lb=yl y2 hxl hx2 hx3 m s ylyl y2y2 yly2 hxlhxl hxlhx2 hxlhx3 hx2hx2 hx2hx3 hx3hx3 mm ss ms ylhxl ylhx2 ylhx3 y2hx1 y2hx2 yZhx3 ylm yls y2m y2s hxlm hxls hx2m hx2s hx3m hx3s t tt thxl thx2 thx3 tyl ty2 d6hxl d6hx2 d6hx3 d6/dw; Eq2: model Stebu=yl y2 hxl hx2 hx3 m s t d6; Eq3: model Sbakar=yl y2 hxl hx2 hx3 m s t d6; srestrict eql.hxl+eql.hx2+eql.h~3=1; srestrict eq2.hxl+eq2.hxZ+eq2.h~3=0, eq3.hxl+eq3.hx2+eq3.h~3=0, eql.ylhxl+eql.ylhx2+eql.ylhx3=0, eql. y2hxl+eql.y2hx2+eql.y2hx3=0, eql.hxls+eql.hxZs+eql.h~3s=O, eql.hxlm+eql.hx2m+eql.hx3m=0, eql.thxl+eql.thx2+eql.thx3=0, eql.d6hxl+eql.d6hx2+eql.d6hx3=0; srestrict eql.hxl=eq2.intercept, eql.hx2=eq3.intercept; srestrict eql.ylhxl=eqZ.yl, eql y2hxl=eq2. y2, eql.hxlhxl=eq2.hxl, eql.hxlhx2=eq2.hx2, eql.hxlhx3=eqZ.hx3, eql hxlm=eq2.m, eql.hxls=eq2.s, eql.thxl=eqZ.t, eql.d6hxl=eq2.d6, eql.ylhxZ=eq3.y1, eql.yZhxZ=eq3.y2, eql.hxlhxZ=eq3.hxl, eql.hx2hxZ=eq3.hxZ, eql.hxZhx3=eq3.hx3, eql.hx2m=eq3 .m, eql.hx2s=eq3.s, eql.thx2=eq3.tr eql.d6hxZ=eq3.d6;

. .

/****

P e n g u j i a n Durmny G a b u n g a n

Joint:

s t e s t eql.ylyZ=O/print:

{Slope)

****/

run;

g.

Program pendugaan parameter f u n g s i b i a y a t r a n s l o g dengan memasukkan dummy gabungan Dl, D 4 dan 05

/***** /*****

Program SAS 6.12 for windows ****/ Tahapan Pembentukan Fungsi Biaya Translog

****/

libname victor 'c:\user\Victor Siagian (EPN99)'; option nonumber nodate ; title ' '; data dt; set victor.dt1; run; options 1s=75;

Title1 'Hasil Analisis Fungsi Biaya'; Title2 'Fungsi Biaya Translog Kuadratik dengan Restriksi

(Dl,D4,D5)';

proc syslin d a t a d t sur; Eql: model lb=yl y2 hxl hx2 hx3 m s ylyl y2y2 yly2 hxlhxl hxlhx2 hxlhx3 hx2hx2 hx2hx3 hx3hx3 nrm ss ms ylhxl ylhx2 ylhx3 y2hxl y2hx2 y2hx3 ylm yls y2m y2s hxlm hxls hx2m -2s hx3m hx3s t tt thxl thx2 thx3 tyl ty2 dlhxl dlhx2 dlhx3 d4hxl d4hx2 d4hx3 d5hx1 d5hx2 d5hx3 dlyl dly2 d4yl d4y2 d5yl d5y2 dlylyl dly2y2 dlyly2 d4ylyl d4y2y2 d4yly2 d5ylyl d5y2y2 d5yly2 dl d4 d5/dw; Eq2: model Stebuzyl y2 hxl hx2 hx3 m s t dl d4 d5; Eq3: model Sbakar=yl y2 hxl hx2 hx3 m s t dl d4 d5; srestrict eql.hxl+eql.hx2+eql.hx3+ eql.dlhxl+eql.dlhx2+eql.dlhx3+ eql.d4hxl+eql.d4hx2+eql.d4hx3+eql.d5hxl+eql.d5hx2+eql.d5hx3=1; srestrict eq2.hxlceq2.hx2+eq2.hx3=0, eq3.hxl+eq3.hxZ+eq3.h~3=0, eql.hxlhx3+eql.hx2hx3+eql.hx3hx3=0, eql. ylhxl+eql. ylhxZ+eql. ylhx3=0, eql. yZhxl+eql. y2hx2teql. y2hx3=0, eql .hxls+eql .hxZs+eql. hx3s=0, eql.hxlm+eql.hx2rn+eql.hx3m=O, eql.thxl+eql.thx2+eqleql.thx3=0, eql.dlhxl+eql.dlhx2teql.dlhx3=0, eql.d4hxl+eql.d4hx2+eql.d4hx3=0, eql.d5hxl+eql.d5hx2+eql.d5hx3=0; srestrict eql.hxl=eqZ.intercept, eql.hxZ=eq3.intercept; srestrict eql.ylhxl=eqZ.yl, eql .y2hxl=eq2. y2, eql.hxlhxl=eq2.hxl, eql.hxlhx2=eq2.hx2, eql.hxlhx3=eqZ.hx3, eql. hxlm=eq2 .m,

eql.hxls=eqZ.s, eql.thxl=eq2.t, eql .dlhxl=eq2 .dl, eql d4hxl=eq2.d4, eql d5hxl=eq2. d5, eql. ylhx2=eq3. yl, eql. y2hx2=eq3. y2, eql.hxlhx2=eq3.hxl, eql.hx2hxZ=eq3.hx2, eql.hx2hx3=eq3.hx3, eql. hx2m=eq3 .m, eql.hx2s=eq3.s, eql. thx2=eq3. t, eql.dlhxZ=eq3.d1, eql.d4hxZ=eq3.d4, eql. d5hx2=eq3. d5 ;

. .

/++**

Pengujian Durmny Gabungan (Slope)

****/

Dl: sTest Eql.dlhxl=Eql.dlhx2=Eql.dlyl=Eql.dly2=Eql.dlylyl=Eql.dly2y2=Eql.dlyly2=0/Print; D4: sTest

Lampiran Tabel 4. Statistik Deskripsi dari Total Biaya Tidak Tetap, J u r n l a h Output, Harga Input Tidak Tetap dan Biaya Tetap. Variables

Sum

Mean

LB STEBU

Log.

SBAKAR

Share bahan bakar Log. produksi Gula Log. produksi t e t e s Log. harga tebu g i l i n g Log. harga Bahan bakar Log. upah Tenaga kerja Log. biaya Management Log. biaya penyusutan

Y1 Y2 HX1 HX2 HX3

PI S YlYl Y2Y2 YlY2 HXlHXl HXlHX2 HXlHX3 HX2HX2 HX2HX3 HX3HX3

MM SS MS YlHXl YlHX2 YlHX3 Y2HX1 Y2HX2

Y2HX3 Y1M YIS Y2M Y2 S HXlM HXlS HX2M HX2S HX3M HX3S T TT THXl THX2 THX 3

TY1 TY2

t o t a l biaya Variabel

Share tebu

Tahun

Lampiran Tabel 5. Hasil Pendugaan Parameter Fungsi Biaya Translog dan Fungsi Pangsa Input Tidak Tetap dengan Variabel Dummy Status Pabrik (Dl). SYSLIN Procedure Ordinary Least Squares Estimation Model: EQ1 Dependent variable: LB Log. total biaya Variabel Analysis of Variance DF

Sum of Squares

Mean Square

46 499 545

243.87186 7.41255 251.28441

5.30156 0.01485

356.892

Root MSE Dep Mean

0.12188 16.28411 0.74846

R-Square Adj R-SQ

0.9705 0.9678

Source Model Error C Total

C.V.

F Value

Parameter Estimates Variable

DF

INTERCEP Y1 Y2 HX 1 HX2 HX3 M

1 1 1 1 1 1

s

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

YlYl Y2Y2 Y1Y2 HXlHX1 HXlHX2 HXlKX3 HX2HX2 HX2HX3 HX3HX3 MM SS

MS YlHXl YlHX2 YlHX3 Y2HX1

1

Parameter Estimate

Standard Error

T for HO: Parameter=O

Prob > IT1

Variable

DF

INTERCEP

1 1 1 1 1 1 1 1 1

Y1 Y2 HX1 HX2 HX3 M S T D1

1

Variable Label Intercept Log. produksi Gula Log. produksi tetes Log. harga tebu giling Log. harga Bahan bakar Log. upah Tenaga kerja Log. biaya Management Log. biaya penyusutan Tahun Dummy Status (l=Swasta, O=BUMN)

Model: EQ2 Dependent variable: STEBU Share tebu Analysis of Variance Source Model Error C Total

DF 9 536 545

Root MSE Dep Mean C.V.

Sum of Squares 8.26647 2.74340 11.00987 0.07154 0.74436 9.61123

Mean Square 0.91850 0.00512

R-Square Adj R-SQ

F Value 179.454

0.7508 0.7466

Parameter Estimates

INTERCEP

Y1 Y2 HX1 HX2 HX3

Parameter Estimate

DF

Variable

Standard Error

T for HO: Pararneter=O

Prob > IT1

1 I 1

I 1

I

M

1

s

1 1 1

T Dl

Model: EQ3 Dependent variable: SBAKAR Share bahan bakar Analysis of Variance Sum of Squares

DF

Source

Mean Square

F Value

ProblF

Model Error C Total Root MSE Dep Mean C.V.

0.00735 0.04840 15.17938

R-Square Adj R-SQ

0.9024 0.9008

Parameter Estimates Parameter Estimate

Variable

DF

INTERCEP Yl Y2 HX1 HX2

1 1 1 1 1 1 1 1 1 1

HX3 M

s T Dl Variable

DF

INTERCEP Y1 Y2 HX 1 HX2 HX 3

1 1 1 1 1 1

Standard Error

Variable Label Intercept Log. produksi Gula Log. produksi tetes Log. harga tebu giling Log. harga Bahan bakar Log. upah Tenaga kerja


Prob > IT1

1 1 1 1

Log. biaya Management Log. biaya penyusutan Tahun Dummy Status (l=Swasta, O=BVMN) SYSLIN Procedure Seemingly Unrelated Regression Estimation

Cross Model Covariance Sigma

EQ1

EQ2

EQ3

Cross Model Correlation EQ1

Corr

EQ3

E Q ~

Cross Model Inverse Correlation Inv Corr

EQ1

EQ2

EQ3

Cross Model Inverse Covariance Inv Sigma

EQ1

EQ2

EQ3

System Weighted MSE: 1.2225 with 1600 degrees of freedom. System Weighted R-Square: 0.9515 Model: EQ1 Dependent variable: LB Log. total biaya Variabel Parameter Estimates Variable

DF

INTERCEP Y1 Y2 HX 1 HX2

1 1 1 1 1

Parameter Estimate 8.679505 -1.008837 1.982587 2.002938 -0.016958

Standard Error 1.289784 0.442844 0.395373 0.068270 0.007392


Prob > IT1

6.729 -2.278 5.014 29.338 -2.294

0.0001 0.0231 0.0001 0.0001 0.0222

HX 3 M

s YlYl Y2Y2 Y1Y2 HXlHXl HXlHX2 HXlHX3 HXZHX2 HX2HX3 HX3HX3

MM

sS MS YlHXl YlHXZ YlHX3 YZHXl Y2HXZ Y2HX3 Y1M Y1S Y2M YZS HXlM HXlS HX2M HX2 S HX3M HX3S T TT THXl THX2 THX 3 TY1 TY2 DlHXl DlHXZ DlHX3 D1

Variable INTERCEP Y l Y2

HX 1 HX2 HX3 M S

T

D1

Variable Label Intercept Log. p r o d u k s i G u l a L o g . p r o d u k s i tetes L o g . harga t e b u g i l i n g L o g . h a r g a B a h a n bakar L o g . upah T e n a g a kerja L o g . biaya M a n a g e m e n t L o g . b i a y a penyusutan Tahun Dummy S t a t u s ( l = S w a s t a , O=BUMN)

Model: EQ2 Dependent variable: STEBU Share tebu Parameter Estimates Variable

DF

parameter Estimate

Standard Error


Prob > I TI

INTERCEP Y1

Y2 Hx1

HX2 HX3 M S

T Dl Model: EQ3 Dependent variable: SBAKAR Share bahan bakar Parameter Estimates Variable

DF

Parameter Estimate

Standard Error


Prob > IT1

INTERCEP Y1 Y2 HX1 HX2 HX3 M

s T D1 Variable

DF

INTERCEP Y1 Y2 HX 1 HX2 HX 3 M

s T D1

Variable Label Intercept Log. produksi Gula Log. produksi tetes Log. harga tebu giling Log. harga Bahan bakar Log. upah Tenaga kerja Log. biaya Management Log. biaya penyusutan Tahun Dummy Status (l=Swasta, O=BUMN)

Cross Model Restrictions: Parameter Estimates

Variable DF RESTRICT -1

Parameter Estimate -0.394123

Standard Error 0.505337

T for HO: Parameter=O -0.780

Prob > I TI -4360

RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT

L Inv(X'X)

I n v ( L Inv(X'X)

L'

L'

LB-C

Lagrangians

4405.4662482 -22716.50762 -22716.50762 351347.26236 T e s t : Uji Dummy s l o p e s e c a r a s i m u l t a n 10.00175 DF: 2 FValue: Numerator: D e n o m i n a t o r : 1.222466 DF: 1600 ProbrF:

230.58745251 -2552.202816 8.1816 0.0003

Lampiran Tabel 6. Hasil Pendugaan Parameter Fungsi Biaya Translog dan Fungsi Pangsa Input Tidak Tetap dengan Variabel Dummy Kapasitas Produksi (D2 dan D3) SYSLIN Procedure Ordinary Least Squares Estimation Model: EQ1 Dependent variable: LB Log. total biaya Variabel Analysis of Variance Sum of Squares

DF

Source

50 495 545

Model Error C Total

244.20026 7.08415 251.28441


0.11963 16.28411 0.73464

Mean Square 4.88401 0.01431 R-Square Adj R-SQ

F Value

Prob>F

341.267

0.0001

0.9718 0.9690


DF


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

s YlYl Y2Y2 Y1Y2 HXlHXl HXIHX2 HXlHX3 HX2HX2 HX2HX3 HX3HX3 MM

ss MS YlHXl YlHX2 YlHX3 Y2HX1 Y2HX2 Y2HX3 Y1M

1

1 1 1 1

Parameter Estimate

Standard Error


Prob > IT1

Y1S Y2M Y2S HXlM HXlS HX2M HX2s HX3M HX3s T TT THXl THX2 THX3 TY1 TY2 D2HX1 D2HX2 D2HX3 D3HX1 D3HX2 D3HX3 D2

D3

Variable

DF

INTERCEP

1 1 1

Yl

Y2 HX 1 HX2 HX 3 M

s T D2 D3

1 1 1 1 1 1 1 1

Variable Label Intercept Log. p r o d u k s i Gula Log. p r o d u k s i t e t e s Log. h a r g a t e b u g i l i n g Log. h a r g a Bahan b a k a r Tenaga k e r j a Log. upah Log. b i a y a Management Log. b i a y a p e n y u s u t a n Tahun D-y k a p a s i t a s (l=Rendah, O=lainnya) Dununy k a p a s i t a s ( l = S e d a n g , O = l a i n n y a )

Model: EQ2 Dependent v a r i a b l e :

STEBU S h a r e t e b u A n a l y s i s of v a r i a n c e


DF 10 535 545 Root MSE D e p Mean

C.V.

Sum o f Squares 8.28275 2.72712 11.00987 0.07140 0.74436 9.59163

Mean Square 0.82827 0.00510

R-Square Adj R-SQ

F Value 162.489

0.7523 0.7477


Parameter Estimate

DF

Standard T for HO: Error Parameter=O

Prob > I T f

INTERCEP Y1 Y2 HX1

nx2 HX3 M S T D2 D3 Model: EQ3 Dependent variable: SBAKAR Share bahan bakar Analysis of Variance DF

Source

Sum of Squares

Mean Square

F Value

Prob>F

Model Error C Total Root MSE Dep Mean C.V.

0.00744 0.04840 15.37000

R-Square Adj R-SQ

0.9002 0.8983


DF

Parameter Estimate

Standard Error

INTE Y1 Y2 HX 1 HX2 HX 3 M

S T D2 D3 Variable

DF

INTERCEP Y1 Y2 HX1 HX2

1 1

1 1 1

Variable Label Intercept Log. produksi Gula Log. produksi tetes Log. harga tebu giling Log. harga Bahan bakar

TforHO: Pararneter=O

Prob > IT1

1

1 1 1 1 1

Log. upah Tenaga kerja Log. biaya Management Log. biaya penyusutan Tahun D-y kapasitas (l=Rendah, O=lainnya) D m y kapasitas (l=Sedang, O=lainnya)

SYSLIN Procedure Seemingly Unrelated Regression Estimation Cross Model Covariance

Sigma

EQ1

EQ2

EQ3

Cross Model Correlation


EQ1

EQ2

EQ3


EQ1

EQ2

System Weighted MSE: 1.2029 with 1597 degrees of freedom. 0.9538 System Weighted R-Square:

EQ 3

SYSLIN Procedure Seemingly Unrelated Regression Estimation Model: EQ1 Dependent variable: LB Log. total biaya Variabel Parameter Estimates Variable INTERCE Y1 Y2 Hxl HX2 HX3 M S YlYl Y2Y2 Y1Y2 HXlHXl HXlHX2 HXlHX3 HX2HX2 HX2HX3 HX3HX3 MM

SS MS YlHXl YlHX2 YlHX3 Y2HXl Y2HX2 Y2HX3 Y1M Y1S Y2M Y2S HXlM HXlS HX2M HX2S HX3M HX3S T TT THX1 THX2 THX3 TY1 TY2 D2HX1 D2HX2 D2HX3 D3HX1

DF

Parameter Estimate

Standard Error


Prob > IT1 0.0001 0.3326 0.0001 0.0001 0.5908 0.0001 0.0573 0.3270 0.0310 0.5139 0.0096 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.4889 0.0307 0.0229 0.1854 0.5628 0.2387 0.1247 0.0002 0.0706 0.0004 0.1004 0.0002 0.0001 0.5387 0.0001 0.0040 0.0001 0.3835 0.0001 0.0042 0.0001 0.0348 0.4936 0.0411 0.0015 0.0273 0.0681 0.2119 0.0673 0.0564

Variable

DF

INTERCEP Y1 Y2 HX1 HX2 HX3 M S T D2 D3

1 1 1 1 1 1 1 1 1 1 1

Variable Label Intercept Log. produksi Gula Log. produksi tetes Log. harga tebu giling Log. harga Bahan bakar Log. upah Tenaga kerja Log. biaya Management Log. biaya penyusutan Tahun Dummy kapasitas (l=Rendah, O=lainnya) Dummy kapasitas (l=Sedang, O=lainnya)

Model: EQ2 Dependent variable: STEBU Share tebu Parameter Estimates Variable

DF

INTERCEP Y1 Y2 HX 1 HX2 HX3 M S T D2 D3

1 1 1 1 1 1 1 I 1 1 1

parameter Estimate

Standard Error


Prob > IT1

2.045928 0.016456 0.013442 0.148323 -0.036581 -0.111742 -0.002461 -0.029713 -0.002749 -0.033486 -0.031572

Model : EQ3 Dependent variable: SBAKAR Share bahan bakar Parameter Estimates Variable INTERCEP Yl Y2 HX1 RX2 HX 3

M S T

n2 I3 3

Parameter Estimate -0.005079 -0.000779 0.003520 -0.036581 0.044017 -0.007436 -0.001274 -0.001107 .000098777 -0.002498 -0.001420

Standard Error 0.009439 0.001346 0.000951 0.000531 0.000605 0.000672 0.000441 0.000222 0.000144 0.001998 0.001800

T for HO: Parameter=O -0.538 -0.579 3.702 -68.842 72.736 -11.057 -2.889 -4.992 -0.685 -1.250 -0.789

Prob > I TI 0.5908 0.5628 0.0002 0.0001 0.0001 0.0001 0.0040 0.0001 0.4936 0.2118 0.4307

Variable INTERCEP Y1 Y2 HX1 HX2 HX3 M S T D2 D3

DF

Variable Label Intercept Log. p r o d u k s i G u l a Log. p r o d u k s i tetes Log. h a r g a t e b u g i l i n g Log. h a r g a Bahan b a k a r Tenaga k e r j a Log. u p a h Log. b i a y a Management Log. b i a y a p e n y u s u t a n Tahun Dummy k a p a s i t a s [ l = R e n d a h , Dummy k a p a s i t a s ( l = S e d a n g ,

O=lainnya) O=lainnya)

C r o s s Model R e s t r i c t i o n s : Parameter Estimates

Variable

Parameter Estimate

Standard Error

T f o r KO: Parameter=O

RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT

-0.334654 1281.252548 2859.609783 3.413983 -18.965218 -532.072877 138.622493 -625.383539 14.788757 7.244979 314.631138 -39.604728 3178.003752 3054.064093 974.954699 3810.715200 3945.765127 4536.849505 4783.751129 1988.192150 215.208378 104.871364 -290.620633 -250.700173 -2087.810970 -268.968161 -507.042115 -557.958108 -63.540325 182.887574 -59.978154 -1.349711

0.521393 107.642091 849.791440 38 -500423 40.912521 99.538629 60.105481 147.881900 30.016386 29.311236 92.116162 63.406326 935.444547 888.727530 298.626105 613.306436 1129.718810 1391.699595 1275.509102 530.593945 85.641710 58.552356 650.032385 615.463648 281.766164 391.972354 774.164699 966.463343 866.440278 345.529757 59.276838 48.393869

-0.642 11.903 3.365 0.089 -0.464 -5.345 2.306 -4.229 0.493 0.247 3.416 -0.625 3.397 3.436 3.265 6.213 3.493 3.260 3.750 3.747 2.513 1.791 -0.447 -0.407 -7.410 -0.686 -0.655 -0.577 -0.073 0.529 -1.012 -0.028

Prob >

I TI

0.5215 0.0001 0.0007 0.9294 0.6434 0.9001 0.0210

o.rJoo1 0.6227 0.8050 0. 9006 0.5327 0 . 9006 0. 9006 0 . '1011 0.9001 0.9005 0.5011 0. 0002 0.9002 0.5118 0 . 'J733 0.6552 0.6842 0 . '1001 0.4931 0.5130 0.5642 0.51416 0.5571 0.3121 0.5778

L I n v ( X I X ) L'

0.0002941278

0.00001872

0.0002355172

Inv(L Inv (X'X) L' )

Test: Uji Dummy Slope Secara Simultan 4 DF: 1.422415 Numerator: 1597 DF: Denominator: 1.202898

LB-C

0.0000150088

-0.030988658

Lagrangians

FValue: Prob>F:

1.1825 0.3166

Lampiran Tabel 7. Hasil Pendugaan Parameter Fungsi Biaya Translog dan Fungsi Pangsa Input Tidak Tetap dengan Variabel Dummy Lokasi Pabrik (D4 SYSLIN P r o c e d u r e Ordinary Least Squares Estimation M o d e l : EQ1 Dependent v a r i a b l e :

LB Log.

t o t a l biaya Variabel Analysis of Variance

DF

Sum o f Squares

Mean Square

46 499 545

243.43876 7.84565 251.28441

5.29215 0.01572

336.592

R o o t MSE Dep Mean

0.12539 16.28411 0.77002

R-Square A d j R-SQ

0.9688 0.9659


C.V.

F Value

Parameter Estimates


s YlYl Y2Y2 YlY2 HXlHXl HXlHX2 HXlHX3 HX2HX2 HX2HX3 HX3HX3

MM SS MS

YlHXl YlHX2 YlHX3 Y2HXl YZHX2 Y2HX3 Y1M Y1S

Parameter Estimate

Standard Error

71.087935 -5.096715 4.940569 0.376565 -0.644506 -8. 021880 -2.264067 1.206998 -0.026532 -0.072567 0.076737 0.124640 -0.135019 0.067144 -0.140174 0.124483 0.475162 0.014752 0.004239 0.000359 0.046324 0.103911 0.190759 -0.025611 -0.031717 -0.192820 0.153177 0.009691

19.480168 1.504328 1.330812 0.722378 1.467983 2.684829 0.517488 0.292855 0.113348 0.055202 0.064715 0.090712 0.041243 0.044578 0.184635 0.068018 0.206318 0.010625 0.006492 0.006859 0.044402 0.072425 0.096095 0.036318 0.065140 0.083847 0.038277 0.029160

T f o r HO: Parameter=O 3.649 -3.388 3.712 0.521 -0.439 -2.988 4.375 4.121 -0.234 -1.315 1.186 1.374 -3.274 1.506 - 0 . -759 1.830 2.303 1.388 0.653 0.052 1.043 1.435 1.985 -0.705 -0.487 -2.300 4.002 0.332

P r o b > IT1 0.0003 0.0008 0.0002 0.6024 0.6608 0.0029 0.0001 0.0001 0.8150 0.1893 0.2363 0.1701 0.0011 0.1326 0.4481 0.0678 0.0217 0.1656 0.5140 0.9583 0.2973 0.1520 0.0477 0.9810 0.6265 0.0219 0.0001 0.7398

Variable

DF

Variable Label Intercept Log. produksi Gula Log. produksi tetes Log. harga tebu giling Log. harga Bahan bakar Log. upah Tenaga kerja Log. biaya Management Log. biaya penyusutan Tahun Dummy lokasi (O=luar Jawa, l=Jawa)


s T D4

Model: EQ2 Dependent variable: STEBU Share tebu Analysis of Variance DF

Sum of Squares

Mean Square

9 536 545

8.35645 2.65342 11.00987

0.92849 0.00495

187.559


0.07036 0.74436 9.45230

R-Square Adj R-SQ

0.7590 0.7549


F Value


DF

Parameter Estimate

Standard Error

T forHO: Parameter=O

INTERCEP Y1

1 1 1

0.168356 0.037210 0.009415

0.158404 0.011230 0.009205

1.063 3.313 1.023

Y2

Prob > IT1

M o d e l : EQ3 Dependent v a r i a b l e :

SaAKAR S h a r e b a h a n b a k a r

A n a l y s i s of V a r i a n c e

DF

Sum o f Squares

Mean Square

F Value

R o o t MSE Dep Mean C .V.

0.00743 0.04840 15.36218

R-Square A d j R-SQ

0.9001 0.8984

Source

Model Error C Total

Parameter Estimates

Variable

DF

INTERCEP Y1

1

Y2 HX 1 HX2 HX3 M

1 1 1 1 1 1 1 1

S

T D4

Variable INTERCEP Y1 Y2 HX 1 HX2 HX 3

M s T D4

Parameter Estimate

Standard Erros

T f o r HO: Parameter=O

1

DF

Variable Label Intercept Log. p r o d u k s i Gula Log. p r o d u k s i tetes Log. h a r g a t e b u g i l i n g Log. h a r g a Bahan b a k a r Tenaga k e r j a Log. upah L o g . b i a y a Management Log. b i a y a penyusutan Ta h u n Durmny l o k a s i ( O = l u a r J a w a ,

l=Jawa)

SYSLIN Procedure Seemingly Unrelated Regression Estimation Cross Model Covariance EQ1

Sigma

EQ2

EQ3

Cross Model Correlation Corr

EQ1

EQ2

EQ3


EQl

EQ2

EQ3


EQ1

EQ 3

EQ2

System Weighted MSE: 1.199 with 1600 degrees of freedom. System Weighted R-Square: 0.9530 Model: EQ1 Dependent variable: LB Log. total biaya Variabel Parameter Estimates Variable

DF

Parameter Estimate

Standard Error


INTERCEP Y1 Y2 HX 1

1 1 1 1

9.126454 -0.809012 1.880985 2.004244

1.153662 0.445707 0.397870 0.065791

7.911 -1.815 4.728 30.464

Prob > IT1 0.0001 0.0701 0.0001 0.0001

HX2 HX3 M

s YlYl Y2Y2 Y1Y2 HXlHXl HXlHX2 HXlHX3 HX2HX2 HX2HX3 HX3HX3

MM

s5 MS YlHXl YlHX2 YlHX3 Y2HX1 Y2HX2 Y2HX3 Y1M Y1S Y2M Y2S HX l M HXlS HX2M HX2S HX3M HX3s T TT TKXl THX2 THX3 TY1 TY2 D4HXl D4HX2 D4HX3 D4

Variable INTERCEP Y1 Y2 HX 1 HX2 HX 3 M

s T D4

Variable Label Intercept Log. produksi Gula Log. produksi t e t e s Log. harga tebu g i l i n g Log. harga Bahan bakar Log. upah Tenaga kerja Log. biaya Management Log. biaya penyusutan Tahun Dummy l o k a s i (O=luar Jawa,

l=Jawa)

Model: EQ2 Dependent variable: STEBU Share tebu Parameter Estimates f arameter

Variable

DF

INTERCEP

1 1 1 1 1

Y1

Y2 Hx1

HX2 HX 3 M S T D4

Estimate

Standard Error


Prob > IT1

1 1

1 1

I

Model: E Q 3 Dependent variable: SBAKAR Share bahan bakar Parameter Estimates Variable

DF


1 1 1 1 1 1 1 1 1 1

S T

D4

Variable

DF

INTERCEP

1 1 1

Parameter Estimate

Standard Error


Variable Label

Intercept Log. produksi Gula Y2 Log. produksi tetes HX1 1 Log. harga tebu giling HX2 1 Log. harga Bahan bakar HX3 1 Log. upah Tenaga kerja M 1 Log. biaya Management s 1 Log. biaya penyusutan T 1 Tahun D4 1 Dummy lokasi (O=luar Jawa. l=Jawa) Cross Model Restrictions: Y1

Prob > IT1

Parameter Estimates

Variable

DF

Parameter Estimate

Standard Error


RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT L I n v ( X I X ) L'

I n v ( L Inv(XIX) L' )

Test:

U j i Dummy S l o p e S e c a r a S i m u l t a n Numerator: 12.7166 DF: 2 Denominator: 1.199043 DF: 1600

LB-C

Lagrangians

F Value: ProblF:

10.6056 0.0001

Prob >

IT1

Lampiran Tabel 8. Kasil Pendugaan Parameter Fungsi Biaya Translog dan Fungsi Pangsa Input Tidak Tetap dengan Variabel Dummy Proses Pabriksasi D5) SYSLIN Procedure Ordinary Least Squares Estimation Model: EQ1 Dependent variable: LB Log. total biaya Variabel Analysis of Variance DF

Sum of Squares

Mean Square

46 499 545

243.35012 7.93429 251.28441


0.12610 16.28411 0.77435

Source Model Ef ror C Total

F Value

Prob>F

5.29022 0.01590

332.710

0.0001

R-Square

0.9684 0.9655

Adj R-SQ


DF

INTERCEP Y1 YZ HX 1 HX2 HX 3

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

M S YlYl Y2Y2 Y1Y2 HXlHXl HXlHX2 RXlHX3 HX2HX2 HX2HX3 HX3HX3 MM

ss

MS YlHXl YlHX2 YlHX3 Y2HX1 Y2HX2 Y2HX3 Y lM YlS

Parameter Estimate

Standard Error


Prob > [TI

Y2M Y2S HXlM HXlS HXZM HXZS HX3M HX3s T TT THx1 THX2 THX3 TY1 TY2

D5HX1 D5HX2 D5HX3 D5 Variable

DF

Variable Label Intercept Log. produksi Gula Log. produksi tetes Log. harga tebu giling Log. harga Bahan bakar Log. upah Tenaga kerja Log. biaya Management Log. biaya penyusutan Tahun Dummy Proses Pabriksasi (O=Karbonatasi, l=Sulfitasi)

INTERCEP Y1 Y2 HX1 EX2 HX 3 M S T D5


Sum of Squares

Mean Square

9 536 545

8.26912 2.74076 11.00987

~ o o tMSE Dep Mean C.V.

0.07151 0.74436 9.60659


F Value

Prob>F

0.91879 0.00511

179.685

0.0001

R-square Adj R-SQ

0.7511 0.7469


DF

Parameter Estimate

Standard Error


Prob > I TI

INTERCEP Y1

1 1 1

0.146613 0.037434 0.015363

0.161320 0.011493 0.009717

0.909 3.257 1.581

0.3638 0.0012 0.1145

Y2

Model: EQ3 Dependent variable: SBAKAR Share bahan bakar Analysis of Variance DF

Sum of Squares


0.00742 0,04840 15.33448

source

Mean Square

F Value

R-Square R-SQ

0.9004 0.8988

Prob>F

Model Error C Total Adj


DF


1 1 1 1 1 1 1 1 1 1

s T D5 Variable INTERCEP Y1 Y2 HX 1 HX2 HX3 M

s T D5

DF

Parameter Estimate

Standard Error


Prob > IT1

Variable Label Intercept Log. produksi Gula Log. produksi tetes Log. harga tebu giling Log. harga Bahan bakar Log. upah Tenaga kerja Log. biaya Management Log. biaya penyusutan Tahun Dummy Proses Pabriksasi (O=Karbonatasi.l=Sulfitasi)

SYSLIN Procedure Seemingly Unrelated Regression Estimation Cross Model Covariance EQ 1

Sigma

EQ2

EQ3



EQ1

EQ2

EQ3


EQ2

EQ1

EQ3

System Weighted MSE: 1.1963 with 1600 degrees of freedom. System Weighted R-Square: 0.9509 Model: EQ1 Dependent variable: LB Log. total biaya Variabel Parameter Estimates Variable INTER Y1 Y2 HX1 HX2 HX3 M S

YlYl Y2Y2 Y1Y2

DF

Parameter Estimate

Standard Error

T forHO: Parameter=O

Prob > I T

I

HXlHXl HXlHX2 HXlHX3 HX2fM2 HX2HX3 HX3HX3 MM

ss MS YlHXl YlHX2 YlHX3 YZHXl Y2HX2 Y2HX3 Y1M Y1S Y2M Y2S HX lM HXlS HXZM HX2S HX 3M HX3S T TT THX1 THX2 THX3 TY1 TYZ D5HX1 D5HX2 D5HX3 D5 Variable

Variable Label

INTERCEP Y1 Y2 HX 1 HX2 HX3 M S T D5

Intercept Log. produksi Gula Log. produksi tetes Log. harga tebu giling Log. harga Bahan bakar Log. upah Tenaga kerja Log. biaya Management Log. biaya penyusutan Tahun Dummy Proses Pabriksasi (O=Karbonatasi,l=sulfitasi)

Model: EQ2 Dependent variable: STEBU Share tebu


DF

Parameter Estimate

Standard Error


Prob > IT I

Model: EQ3 Dependent variable: SBAKAR Share bahan bakar Parameter Estimates Variable

DF

Parameter Estimate

INTERCEP Y1 Y2 HX 1 HX2 HX3 M S T D5

1 1 1 1 1 1 1 1 1 1

-0.011459 0.000387 0.002766 -0.036525 0.044172 -0.007647 -0.001193 -0.001260 -0.000084598 0.002187

Variable

DF

INTERCEP Yl Y2

1 1 1 I 1 1 1 1 I 1

HX1

HX2 HX 3 M

s T D5

Standard Error


Prob > IT1

Variable Label Intercept Log. produksi Gula Log. produksi tetes Log. harga tebu giling Log. harga Bahan bakar Log. upah Tenaga kerja Log. biaya Management Log. biaya penyusutan Tahun Dummy Proses Pabriksasi (O=Karbonatasi.l=Sulfitasi)

Cross Model Restrictions: Parameter Estimates Variable

DF

Parameter Estimate

RESTRICT

-1 -1

-0.205011 1263.034915

RESTRICT

Standard Error


Prob > IT1

0.491641

-0.417 11.713

0.6771 0.0001

107.830626

RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRTCT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT L I n v ( X I X ) L'

Inv(L Inv(X'X)

Test:

L' )

Uji dummy s l o p e secara s i m u l t a n 2 3.675787 DF: Numerator: 1600 D e n o m i n a t o r : 1.196275 DF:

LB-C

Lagrangians

F Value: Prob>F:

3.0727 0.0466

Lampiran Tabel 9. Hasil Pendugaan Parameter Fungsi Biaya Translog dan Fungsi Pangsa Input Tidak Tetap Dengan Variabel Dummy Rendemen ( D 6 ) SYSLIN Procedure Ordinary Least Squares Estimation Model: EQ1 Dependent variable: LB Log. total biaya Variabel Analysis of Variance Source

DF

Sum of Squares

Mean Square

Model Error C Total

46 499 545

244.67742 6,60699 251.28441


0.11507 16.28411 0.70662

F Value

Prob>F

5,31907 0.01324

401.729

0.0001

R-Square Adj R-SQ

0.9737 0.9713


DF

INTERCEP Y1 Y2

1 1 1

HX1

1

HX2 HX3 M S YlYl Y2Y2 Y1Y2 HXlHXl HXlHX2 HXlHX3 HX2HX2 HX2HX3 HX3HX3 MM SS MS YlHXl YlHX2 YlHX3 YZHXl Y2HX2 Y2HX3 Y1M YlS

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

Y2M

Parameter Estimate

Standard Error


Prob > IT1

Y2S HXlM HXlS HX2M HXZS HX3M HX3s

T TT THXl THXZ THX3 TY1 TY2 D6HX1 D6HX2 D6HX3 D6 Variable

DF

INTERCEP Y1 Y2

1 1 1 1 1 1 1 1 1

HX1

HX2 KX3 M

s D6

Variable Label Intercept Log. produksi Gula Log. produksi tetes Log. harga tebu giling Log. harga Bahan bakar Log. upah Tenaga kerja Log. biaya Management Log. biaya penyusutan Dummy Rendemen Hablur (l=besar, O=kecil)


Sum of Squares

Mean Square

9 536 545

8.30973 2.70015 11.00987


0.07098 0.74436 9.53516


F Value

Prob>F

0.92330 0.00504

183.283

0.0001

R-Square Adj R-SQ

0.7548 0.7506


DF

Parameter Estimate

Standard Error


INTERCEP Y1

1 1 1 1

0.115620 0.042969 0.008946 0.204547

0.160332 0.011420 0.009350 0.006074

0.721 3.763 0.957 33.677

Y2

HX1

Prob > IT1 0.4711 0.0002 0.3391 0.0001

Variable

DF

INTERCEP Y1

Variable Label Intercept Log. produksi Gula Log. produksi tetes Log. harga tebu giling Log. harga Bahan bakar Log. upah Tenaga kerja Log. biaya Management Log. biaya penyusutan Tahun D-y Rendernen Hablur (l=besar, O=kecil)

Y2 HX1 HX2 HX3 M

s T D6

Model : EQ3 Dependent variable: SBAKAR Share bahan bakar Analysis of Variance DF

Sum of Squares

Mean Square

9 536 545

0.26713 0.02939 0.29652

0.02968 0.00005

541.387

Root MSE Dep Mean

0.00740 0.04840 15.29973

R-square Adj R-SQ

0.9009 0.8992


C.V.

F Value


DF


1 1 1 1

s T D6

1

1 1 1 1 1

Parameter Estimate

Standard Error


Prob > IT1

Variable INTERCEP Y l Y2 HX1 HX2

AX3 M S

T D6

Variable Label Intercept Log. p r o d u k s i Gula Log. p r o d u k s i t e t e s Log. h a r g a t e b u g i l i n g Log. h a r g a Bahan b a k a r Log. upah Tenaga k e r j a Log. b i a y a Management Log. b i a y a p e n y u s u t a n Tahun D-y Rendernen Hablur ( l = b e s a r , O = k e c i l )

Cross Model C o v a r i a n c e

Sigma

EQ1

EQ2

EQ3

Cross Model C o r r e l a t i o n Corr

EQ1

EQ2

EQ3

Cross Model I n v e r s e C o r r e l a t i o n I n v Corr

EQ1

EQ2

EQ3

Cross Model I n v e r s e C o v a r i a n c e Inv Sigma

EQ1

EQ2

System Weighted M S E : 1.1775 w i t h 1600 d e g r e e s o f System Weighted R-Square: 0.9603

EQ3

freedom.

Model: E Q 1 Dependent variable: L B Log. total biaya Variabel Parameter Estimates

Variable INTERCEP Y1 Y2 HX 1 IM2 HX3 M

DF

1 1 1 1 1

1

YlYl Y2Y2 Y1Y2 HXlHXl HXlHX2 HXlHX3 HX2HX2 HX2HX3 HX3HX3

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

ss MS YlHXl YlHX2 YlHX3 Y2HX1 Y2HX2 Y2HX3 Y1M Y1S Y2M Y2S HX l M HXlS HX2M HX2 S HX3M HX3S T TT THX 1 THX2 THX 3 TY1 TY2 D 6HX 1 D6HX2 D 6HX 3 D6

Standard Error

1 1

S

MM

Parameter Estimate

Model: EQ2 Dependent variable: S T E B U Share tebu


Prob > I TI


DF

parameter Estimate

INTERCEP Y1 Y2 HX1 HX2 HX3 M S T

1 1 1 1 1 1 1 1 1 1

1.983181 0.026919 0.006879 0.151710 -0.036354 -0.115355 -0.002629 -0.027128 -0.002370 -0.017241

D6

Variable

DF


Standard Error


Prob z IT1

Variable Label Intercept Log. produksi Gula Log. produksi tetes Log. harga tebu giling Log. harga Bahan bakar Log. upah Tenaga kerja Log. biaya Management Log. biaya penyusutan Tahun Dummy Rendemen Hablur il=besar, O=kecil)

s T D6

Model: EQ3 Dependent variable: S a A K A R Share bahan bakar Parameter Estimates Variable

DF


1 1 1 1 1 1 1 1 1 1

S

T D6 Variable

DF

INTERCEP Y1 Y2

1 1 1 1 1

HX1

HXZ

Parameter Estimate

Standard Error

Variable Label Intercept Log. produksi Gula Log. produksi tetes Log. harga tebu giling Log. harga Bahan bakar


Prob > IT1

HX 3

1 1 1 1 1

M

S T

D6

L o g . upah Tenaga k e r j a L o g . biaya M a n a g e m e n t L o g . b i a y a penyusutan Tahun Dummy R e n d e m e n H a b l u r ( l = b e s a r , O = k e c i l )

Cross Model R e s t r i c t i o n s : Parameter Estimates

Variable

DF

Parameter Estimate

Standard Error


RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT L Inv(X'X1

L'

I n v ( L I n v ( X I X ) L')

Test:

LB-C

Lagrangians

DUMMY

Numerator: Denominator:

2.701494 1.177541

DF: DF:

2 1600

F Value:

Prob>F:

2.2942 0.1012

Prob z

IT I

L Inv(XIX) L'

Inv (L Inv (X'XI L ' 544.83511816 Test: JOINT Numerator: 10.85995 Denominator: 1.177541

NOTE:

DF: DF:

1 1600

LB-C

)

Lagrangians 76.921263721

F Value: Prob>F:

Restrictions in effect for model tested.

9.2226 0.0024

Lampiran Tabel 1 0 . U j i Kelayakan Model dengan Metode OLS dan Metode SUR a. Uji Kelayakan Model Metode OLS SIMLIN Procedure Statistics of Fit Variabel LB STEBU SBAKAR

Mean Error

N 546 54 6 546

-3.213-13 -3.18E-16 -8.223-17

Mean % Error -1.004416 -1.2061 0.1021

Mean Abs Error 1.0807 0.0554 0.005551

Mean Abs % Error 0.49669 8.17616 14.11834

Statistics of Fit Variable LB STEBU SBAKAR

RMS Error 0.1080 0.0695 0.007271

RMS % Error

Label Log. Total biaya variabel Share tebu Share bahan bakar

0.661 11- 5 7 8 5 19.9249

b. Uji Kelayakan Model Metode SUR SIMLIN Procedure

Statistics of Fit Var iabel LB STEBU SBAKAR

Me an Error

N 54 6 54 6 54 6

0.003550 -0.004475 -0.000332

Mean % Error 0.0178 -2 - 6 7 5 7 1.1786

Mean Abs Error 0.1075 0.0657 0.006303

Mean Abs % Error

0.66050 10.14250 16.78810

Statistics of Fit Variable LB

STEBU SBAKAR

RMS Error 0.1446 0.0880 0.008537

RMS 8 Error 0.8904 15.9700 25.3470

Label Log. Total biaya variabel Share tebu Share bahan bakar

Lampiran Tabel 11. Hasil Pendugaan Parameter Fungsi Biaya Translog dan Fungsi Pangsa Input Tidak Tetap dengan Variabel Dummy Status Pabrik (Dl), Dummy Lokasi Pabrik (D4). Dummy Proses Pabriksasi (D5). SYSLIN Procedure Seemingly Unrelated Regression Estimation

Cross Model Covariance Sigma

EQ1

EQ2


EQl

EQ2

Cross Model Inverse Correlation Inv corr

EQl

EQ2

EQ3


EQ 1

EQ2

System Weighted MSE: 1.2411 with 1580 degrees of freedom. System Weighted R-Square: 0.9558

EQ 3

SYSLIN Procedure Seemingly Unrelated Regression Estimation Model: EQ1 Dependent variable: LB Log. total biaya Variabel Parameter Estimates Variable

DF

Parameter Estimate

Standard Error

T fox HO: Parameter=O

Prob > IT1

INTERCEP Y1 Y2 HXl HX2 HX3

I 1 I 1 1 1 1 I 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

-6.806917 -1.630123 6.140328 1.975673 -0.015983 -0.959690 -0.190335 -0.008502 -0.177505 -0.631872 0.227435 0.149639 -0.035863 -0.113775 0.045181 -0.009317 0.123093 -0.007160 0.003902 -0.000046651 0.031354 0.001632 -0.032986 0.006147 0.002458 -0.008606 0.108350 0.047827 -0.086205 -0.081884 -0.003421 -0.029895 -0.000847 -0.001305 0.004268 0.031200 -0.015142 -0.004481 -0.001985 0.000026638 0.001958 -0.008907 0.014555 -0.002457 -0.004646 0.007102 -0.010232

13.101600 4.552896 2.950192 0.069362 0.007588 0.074452 0.139461 0.095542 1.894244 1.902322 1.859799 0.004671 0.000541 0.004989 0.000587 0.000687 0.005374 0.007635 0.005014 0.004691 0.010719 0.001161 0.011508 0.008956 0.000973 0.009615 0.030763 0.025654 0.026682 0.018566 0.004051 0.002064 0.000446 0.000221 0.004348 0.002215 0.040491 0.000982 0.001269 0.000140 0.001362 0.007158 0.006594 0.021123 0.002235 0.022669 0.010068

-0.520 -0.358 2.081 28.483 -2.106 -12.890 -1.365 -0.089 -0.094 -0.332 0.122 32.037 -66.278 -22.804 76.985 -13.557 22.907 -0.938 0.778 -0.010 2.925 1.406 -2.866 0.686 2.525 -0.895 3.522 1.864 -3.231 -4.410 -0.844 -14.485 -1.898 -5.902 0.982 14.086 -0.374 -4.564 -1.565 0.190 1.438 -1.244 2.207 -0.116 -2.07 8 0.313 -1.016

0.6036 0.7205 0.0379 0.0001 0.0357 0.0001 0.1730 0.9291 0.9254 0.7399 0.9027 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.3488 0.4368 0.9921 0.0036 0.1603 0.0043 0.4928 0.0119 0.3713 0.0005 0.0629 0.0013 0.0001 0.3989 0.0001 0.0583 0.0001 0.3268 0.0001 0.7086 0.0001 0.1183 0.8495 0.1511 0.2140 0.0278 0.9075 0.0382 0.7542 0.3100

M S

YlYl Y2Y2 Y1Y2 HXlHXl HXlHX2 HXlHX3 HX2HX2 HX2HX3 HX3HX3 MM SS

MS YlHXl YlHX2 YlHX3 Y2HX1 Y2HX2 Y2HX3 Y1M Y1S Y2M Y2S HX lM HXlS HX2M fix2S HX3M BX3S T TT THXl THX2 THX3 TY1 TY2 DlHXl DlHX2 DlHX3 D4HX1

D4HX2 D4HX3 D5HX1 D5HX2 D5HX3 DlYl D1Y2 D4Y1 D4Y2 D5Y1 D5Y2 DlYlYl DlY2Y2 DlYlY2 D4YlY1 D4Y2Y2 D4YlY2 D5YlY1 D5Y2Y2 D5YlY2 Dl D4 D5 Model: EQ2 Dependent variable: STEBU Share tebu Parameter Estimates Varfable

DF

Parameter Estimate

Standard Error


Prob > IT I

INTER Y1 Y2 HX1 HX2 HX3 M S T Dl D4

D5 Model: EQ3 Dependent variable: SBAKAR Share bahan bakar Parameter Estimates Variable

Dl?

Parameter Estimate

Standard Error


INTERCEP Y1 Y2 HX 1

1 1 1 1

-0.015983 0.001632 0.002458 -0.035863

0.007588 0.001161 0.000973 0.000541

-2.106 1.406 2.525 -66.278

Prob > IT1

Cross Model R e s t r i c t i o n s : Parameter Estimates

Variable

DF

Parameter Estimate

Standard Error


RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT RESTRICT

-7.104 -0.296 0.191 -7.102 -7.127 -7.166 -7 -548 -6.943 -7.997 -0.241 -7.119 -7.144 4.988 4.022 5.089 5.052 0.908 5.806 4.235 4.927 5.283 5.380 -1.103 5.359 4.454 4.192 4 -221 -9.812 -1.283 1.694 4.049 4.303 4.829 1.031 3.587 3.882 LB-C

Prob

> IT I 0.0001 0.7675 0.8491 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.8100 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.3643 0.0001 0.0001 0.0001 0.0001 0.0001 0.2706 0.0001 0.0001 0.0001 0.0001 0.0001 0.1998 0.0902 0.0001 0.0001 0.0001 0.3032 0.0003 0.0001

)

Test: D l Numerator: 1.741895 Denominator: 1.241141

DF: DF:

7

1580

Lagrangians

F Value: Prob>F:

LB-C

1.4035 0.1996

Test: D4 Numerator: Denominator:

11.16746 1.241141

DF: DF:

7 1580

F Value: Prob>F:

8.9977 0.0001

LB-C

Inv ( L Inv (X'X) L' )

Test: D5 Numerator: Denominator:

1.961939 1.241141

DF: DF:

7 1580

Lagrangians

F Value: Prob>F:

NOTE: R e s t r i c t i o n s i n e f f e c t for model t e s t e d .

1.5808 0.1367

Lampiran Tabel 12a. Nilai Ekonomi Cakupan Usaha (Economies o f EOS) Pabrik Gula di Indonesia Scope, Berdasarkan Status Pabrik : 1990-1997. Economies STATUS PABRIK

Biaya

( y l , y2)

Biaya

(0, ~ 2 )

BiaYa

(yl,

O)

of S c o p e

BUMN

13121753.00

12937606.44

13081040.21

1.02

Swasta

77811076.09

78464936.39

77832853.75

1.01

Total

15254368.05

15097848.08

15215715.38

1.02

Lampiran Tabel 12b. Nilai Ekonomi Cakupan Usaha Economies o f Scope, EOS) Pabrik Gula di Indonesia Berdasarkan Lokasi Pabrik : 1990-1997. Economies STATUS PABRIK

Biaya

( y l , y2)

Biaya

( 0 , y2)

Biaya

(yl, 0)

of scope

BUMN

12391350.27

12152312.79

12369478.08

1.02

Swasta

31454858.90

31765267.32

31321253.30

1.01

15097848.08

15215715.38

1.02

15254368.05

Total

Lampiran Tabel 12c. Nilai Ekonomi Cakupan Usaha (Economies o f Scope, EOS) Pabrik Gula di Indonesia Berdasarkan Proses Pabrikasi : 1990-1997. Economies STATUS

PABRIK

~i~~~ (yl,

y2)

Biaya

(0.

~ 2 )

BiaYa

( ~ 1 ,0 )

of scope

BUMN

10047240.62

10475641.68

10106399.13

1.01

Swasta

16070739.72

15822516.04

16016752.25

1.02

15097848.08

15215715-38

1.02

Total

15254368.05

L a m p i r a n T a b e l 12d. N i l a i Ekonorni C a k u p a n U s a h a (Economies o f Scope, EOS) P a b r i k Gula d i Indonesia Berdasarkan Status Pabrik dan Lokasi P a b r i k : 1990-1997. BUMN

STATUS PABRIK Swasta

LOKASI PABRIK Jawa

Biaya

( ~ 1y,2 )

12391350.27

Biaya

(0,

12152312.79

Biaya

(yl,

y2)

L u a r Jawa

12369478.08

0)

Economies o f

Scope

Biaya

( ~ 1 y. 2 )

Biaya

(0,

Biaya

(yl,

y2)

.

0)

1.02 18417172.81

77811076.09

18630985.40

78464936.39

18239865.68

77832853.75

Economies o f S c o p e Total

I

1-01

1.01 77811076.09

Biaya

( ~ 1 ,y 2 )

13121753.00

Biaya

( 0 , y2)

12937606.44

78464936.39

Biaya

(yl,

13081040.21

77832853.75

0)

Economies o f

Scope

1.02

1-01

L a m p i r a n Tabel 12e. N i l a i Ekonomi C a k u p a n Usaha (Economies o f Scope, EOS) Pabrik Gula di Indonesia Berdasarkan Status Pabrik dan Proses P a b r i k a s i : 1990-1997. BUMM

STATUS PABRI K Swasta

PROSES PABRIKASI Karbonatasi

Biaya

( ~ 1 y,2 )

7931323.82

86220245.42

Biaya

(0, y2)

7993025.72

99849816.19

Biaya

(yl,

7915192.17

88989849.80

0)

1.01

1.21

Biaya

(yl,

$2)

13941294.45

76759929.93

Biaya

(0, y2)

13718329.71

75791826.42

(yl,

13896700.43

76438229.24

1.03

0.99 77811076.09

Economies o f S c o p e Sulfitasi

Biaya

0)

Economies o f Total

Scope

Biaya

( ~ 1y . 2)

13121753.00

Biaya

(0, y2)

12937606.44

78464936.39

Biaya

(yl.

13081040.21

77832853.75

1.02

1.01

0)

Economies of

Scope

Lampiran Tabel 12f. Nilai Ekonomi Cakupan Usaha (Economies of EOS) Pabrik Gula di Indonesia Scope, Berdasarkan Lokasi Pabrik dan Proses Pabrikasi : 1990-1997. PROSES PABRIKASI Sulfitasi Karbonatasi

LOKAS I P A B R I K Jawa

Biaya

(yl,

Biaya

(0,

Biaya

(yl,

7931323.82

13210538.80

y2)

7993025.72

12916263.47

0)

7915192.17

13187612.22

y2)

Economies o f L u a r Jawa

Biaya

(yl,

Biaya

(0,

Biaya

(yl,

y2) y2) 0)

Economies o f Total

Scope

Scope

y2)

1.01

1.03

86220245.42

30085724.24

99849816.19

30063153.60

88989849.80

29879538.39

1.21 10047240.62

1.01 16070739.72

Biaya

(yl.

Biaya

(0, y2)

10475641.68

15822516.04

Biaya

(yl,

10106399.13

16016752.25

0)

Economies o f

Scope

1-01

1.02

Lampiran Tabel 12g.Nilai Ekonomi Cakupan Usaha (Economies of Scope, EOS) Pabrik Gula di Indonesia Berdasarkan Status Pabrik, Lokasi Pabrik dan Proses Pabrikasi :1990-1997.

DAFTAR PUSTAKA. Akridge, J.T. and T.W. Hertel "Multiproduct Cost Relationship for Retail Fertiiizer Plants". Amer. J. Agr. Econ. 68 :

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