DAFTAR PUSTAKA. Badan Agribisnis Statistik dan Informasi Agribisnis. Badan Agribisnis, Departemen Pertanian, Jakarta.

Transkripsi

1 DAFTAR PUSTAKA Adriansyah Analisis Permintaan Buah-buahan di Propinsi DKI Jakarta Suatu Penerapan Model Almost Ideal Demand System (AIDS) dengan Data Susenas Skripsi Sarjana. Jurusan Ilmu-ilmu Sosial Ekonomi Pertanian, Fakultas Pertanian, Institut Pertanian Bogor, Bogor. Badan Agribisnis Statistik dan Informasi Agribisnis. Badan Agribisnis, Departemen Pertanian, Jakarta. BPS Statistik Indonesia. Biro Pusat Statistik, Jakarta Survei Susenas. Buku 3. Biro Pusat Statistik, Jakarta. Dahl, D.C. dan J.W. Hammond Market and Price Analysis Agricultural Industries. Mc.Graw-Hill, New York. Deptan Informasi Hortikultura dan Aneka Tanaman. Direktorat Jenderal Bina Produksi Hortikultura, Departemen Pertanian, Jakarta. Deptan Pola Pengembangan Institusi Pelayanan Pemasaran Hasil Pertanian Terminal dan Sub Terminal Agribisnis. Direktorat Jenderal Bina Pengolahan dan Pemasaran Hasil Pertanian, Departemen Pertanian, Jakarta. Wewi, W.K Analisis Pendapatan Usahatani dan Pemasaran Komoditas Manggis. Studi Kasus Desa Sipak, Kecamatan Jasinga, Kabupaten Bogor, Propinsi Jawa Barat. Skripsi Sarjana. Jurusan Ilmu-ilmu Sosial Ekonomi Pertanian, Fakultas Pertanian, Institut Pertanian Bogor, Bogor. Dongoran, A.S Analisis Pemasaran Cabai Merah Besar (Capsicum annuum var. Longum) di DKI Jakarta. Kasus di Pasar Induk Kramat Jati, Pasar Jatinegara dan Pasar Tanah Abang DKI Jakarta. Skripsi Sarjana. Jurusan Ilmuilmu Sosial Ekonomi Pertanian, Fakultas Pertanian, Institut Pertanian Bogor, Bogor. Effendi, H.R Analisis Deskripsi Sistem Tataniaga Komoditi Cabai Merah Clapsicurn annuum L. (Kasus pada 3 kabupaten di Jawa Tengah). Skripsi Sarjana. Jurusan Ilmu-ilmu Sosial Ekonomi Pertanian, Fakultas Pertanian, Institut Pertanian Bogor, Bogor. F AO FAOSTAT Agriculture Data, Firmansyah, E Analisis Usahatani dan Pemasaran Bawang Daun di Desa Sukamaju, Kecamatan Kadudampit, Kabupaten Sukabumi. Skripsi Sarjana. Jurusan Ilmu-ilmu Sosial Ekonomi Pertanian, Fakultas Pertanian, Institut Pertanian Bogor, Bogor.

2 Garrett, B Fruit and Vegetable Manual, Volume I - Fruit. Compiled by The Queensland Chamber of Fruit and Vegetable Industries Co-operative. Published by National Marketplace News, Bribane. Hadi, P.U., H. Mayrowani, Suprijati dan Sumedi Review dan Outlook Pengembangan Komoditas Hortikultura. Makalah Seminar Nasional Perspektif Pembangunan Pertanian dan Kehutanan Tahun 2001 ke Depan. Pusat Penelitian Sosial Ekonomi Pertanian, Badan Penelitian dan Pengembangan Pertanian, Bogor. Heytens, P.J Testing Market Integration. Food Research Institute Studies, 20(1): Hutasoit, A.N Peranan Pasar Induk Kramatjati dalam Pemasaran Buahbuahan di DKI Jakarta. Skripsi Sarjana. Jurusan Ilmu-ilmu Sosial Ekonomi Pertanian, Fakultas Pertanian, Institut Pertanian Bogor, Bogor. Kohls, R.L dan J.N. Uhl Marketing of Agricultural Products. Seventh Edition. MacMillan Publishing Company, New York. Kotler, P Manajemen Pemasaran, Perencanaan dan Pengendalian. Erlangga, Jakarta Manajemen Pemasaran: Analisis, Perencanaan, Implementasi dan Pengendalian. Jilid 2. Edisi Keenam. Penerbit Salemba Empat, Jakarta. Kumaat, R.M Sistim Pemasaran Sayuran Dataran Tinggi di Propinsi Sulawesi Utara. Tesis Magister Sains. Program Pascasarjana, Institut Pertanian Bogor, Bogor. Limbong, W.H. dan P. Sitorus Pengantar Tataniaga Pertanian. Jurusan Ilmuilmu Sosial Ekonomi Pertanian, Fakultas Pertanian, Institut Pertanian Bogor, Bogor. Ma'mun Keragaan Pemasaran Kentang dan Kubis di Jawa Barat dan Beberapa Faktor yang Mempengaruhinya. Tesis Magister Sains. Fakultas Pascasarjana, Institut Pertanian Bogor, Bogor. Mursito, D Analisis Risiko pada Usaha Pemasaran Buah Lokal dan Buah Impor di Tingkat Pengecer Kotamadya Bogor. Aplikasi Model Portofolio Indeks Tunggal. Skripsi Sarjana. Jurusan Ilmu-ilmu Sosial Ekonomi Pertanian, Fakultas Pertanian, Institut Pertanian Bogor, Bogor. Nurmalita, D Analisis Pendapatan dan Tingkat Risiko Usaha Pada Sayuran Lokal dan Non Lokal. Studi Kasus Kelompok Tani pada Boga, Desa Ciherang, Kecamatan Pacet, Kabupaten Cianjur, Propinsi Jawa Barat. Skripsi Sarjana.

3 Jurusan Ilmu-ilmu Sosial Ekonomi Pertanian, Fakultas Pertanian, Institut Pertanian Bogor, Bogor. Nuswamarhaeni, S., D. Prihatini dan E.P. Pohan Mengenal Buah Unggul Indonesia. Penebar Swadaya, Jakarta. Puslitbanghort Teknologi Produksi Salak. Pusat Penelitian dan Pengembangan Hortikultura, Badan Penelitian dan Pengembangan Pertanian, Departemen Pertanian, Jakarta. Rahmatia, E Analisis Faktor-faktor yang Mempengaruhi Perilaku Konsumen Dalam Proses Pembelian Buah (Kasus di DKI Jakarta). Skripsi Sarjana. Jurusan Ilmu-ilmu Sosial Ekonomi Pertanian, Fakultas Pertanian, Institut Pertanian Bogor, Bogor. Ravallion, M Testing Market Integration. American Journal of Agricultural Economics, 68(1): Sarwono, B Jeruk dan Kerabatnya. Penebar Swadaya, Jakarta. Schoell, W.F. dan J.P. Guiltinan Marketing Contemporary Concepts and Practices. Fourth Edition. Prentice Hall, Boston. Siagian, I Analisis Efisiensi Pemasaran Duku (Lansium domesticum) Palembang dari Pasar Induk ke Pasar Eceran di DKI Jakarta. Skripsi Sarjana. Jurusan Ilmu-ilmu Sosial Ekonomi Pertanian, Fakultas Pertanian, Institut Pertanian Bogor, Bogor. Silitonga, E.H Analisis Efisiensi Pemasaran Sayuran Dataran tinggi Kabupaten Karo Propinsi Sumatera Utara. Tesis Magister Sains. Program Pascasarjana, Institut Pertanian Bogor, Bogor. Tobing, M.P.L Analisis Pembagian Pendapatan Usahatani dan Tataniaga Komoditas Bawang Merah. Studi Kasus di dua Desa Pulau Samosir Kabupaten Tapanuli Utara, Sumatera Utara. Tesis Magister Sains. Fakultas Pascasarjana, Institut Pertanian Bogor, Bogor. Tomek, W.G. dan K.L. Robinson Agricultural Product Prices. Second Edition. Cornell University Press, Ithaca.

4 LAMPIRAN

5 Lampiran 1. Jumlah dan Laju Pertumbuhan Penduduk Jakarta dan Indonesia Tahun Sumber: BPS 1999a. Hal: * tidak termasuk Timtim

6 Lampiran 2. Ekspor-Impor Buah Indonesia Tahun Sumber BPS, diolah Keterangan: - Data buah segarbeku terdiri dari 39 HS - Data buah olahanlkering terdiri dari 64 HS

7 3. Silmsel 4. Riau L 8. Banten I babar Lampiran 3. Perkembangan Pembangunan Terminal AgribisnisISub Terminal Agribisnis Wilayah Merek Kab. Solok I Kab. am Lokasi Jaka-Baring Palembang Oku & Oki, MUBA, Linggau Pagar Alam Kodya Batam Kab. Muara Bungo Kab. Rejang Lebong Bandar Lampung lam nun^ Timur CilegodSerang Tangerang Pluit- Jakarta Utara Pasar Induk Kramatjati Marunda -Jakarta Utara Sukabumi 1 [ Kuningan Operasional 1 1. Jateng b,lvirgyakarta b a t im t 16. Kalbar 17. Ealtim Sumber: Deptan Maj alengka Cirebon Brebes Magelang Semarang Sleman Yogyakarta Purwodadi-Pasuruan Sidoarjo Tabanan Singaraja Barito Kuala Pontianak Balikpapan/Samarinda Gowa Minahasa Tondano Kendari Tahapan Pengembangan Studi kelayakan Operasional I Studi kelayakan Studi kelayakan Sosialisasi gagasan Studi kelayakan Studi kelayakan Rencana Studi kelayakan Operasional Rencana studi kelayakan Rencana Studi kelavakan Rencana Studi kelayakan Op erasional Studi kelayakan Pembangunan Tahap I1 / (modemisasi sistem) Rencana realisasi fisik Operasional Operasional berasional Operasional Studi kelayakan Operasional Operasional Operasional berasional Studi kelayakan berasional Operasional Operasional & pengembangan Studi kelayakan Rencana Studi kelayakan Operasional Tahap usulan Tahap usulan Studi kelayakan

8 Lampiran 4. Print Out Hasil Olahan Data Regression A~ialysis APEL IMPOR The regression equation is PaA = PaA(t-I) Pk-Pk(t-1) Pk(t-I) 18 cases used 1 cases contain missing values Co~istant PaA(t-I) Pk-Pk(t Pk(l-I) A~ialysis of Variance Source DF SS MS F P Regressio~i Error Tolal PaA(t-I) Pk-Pk(I Pk(t-I) Unusual Observatio~ls Obs PaA(t-I) PaA Fit StDev Fit Residual St Resid R R R denotes an observation with a large standardized residual Durbin-Watson statistic = 2.01 Regression Analysis Tlie regression equation is P,d3 = PaB(t-I) Pk-Pk(t-I) Pk(t-I) 18 cases used 1 cases contain missing values Prediclor Coef StDcv T P Corista~it Ptd3(t-I) Pk-Pk(t Pk(t-1)

9 Source DF S S MS F P Regression Error Total PaB(t-1) Pk-Pk( Pk(t-1) Unusual Observations Obs P&(t-1) PC* Fit StDev Fit Residual St Resid R R denotes an observation wit11 a large sta~~dardized residual Durbin-Watson statistic = 1.72 Regression Analysis The regression equation is PaC = PaC(1-I) Pk-Pk(t-1) Pk(t-1) 18 cases used 1 cases contain nlissing values Predictor Coef StDcv T P Constant PaC(1-I) Pk-Pk(t Pk(t-1) Source DF SS MS F P Regression Error Total PaC(t-1) Pk-Pk(t Pk(t-1)

10 Unusual Observatio~ls Obs PaC(t-1) PaC Fit StDev Fit Residual St Resid R R de~lotes an observation with a large standardized residual Durbin-Watson statistic = 2.04 Regression Analysis The regressiorl equation is PaD = PaD(t-1) Pk-Pk(t-1) Pk(t-1) 18 cases used I cases contain ~llissillg values Co~lsta~lt PaD(t-I) Pk-Pk( Pk(t-1) Source DF SS MS F P Regression Error Total Sotirce DF Seq SS PaD(t-I) Pk-Pk(t Pk(t-I) U~~r~sual Observatio~~s Obs PaD(t-I) PaD Fit StDev Fit Residual St Resid R R dc~~oles an observation with a large standardized residual Durbin-Watson statistic = 2.06

11 JERUK IMPOR Regression A~ralysis The regression equation is PjA = PjA(t-I) Pk-Pk(t-1) Pk(t-1) I8 cases used 1 cases contain missing values Constant PA Pk-Pk(t Pk(t-1) Source DF SS MS F P Pegression Error Total Sorircc DF Seq SS P.jA(t-1) Pk-Pk(t Pk(t-I) Unusual Observations Obs PjA(t-I) PjA Fit StDev Fit Residual St Resid R R R denotes an observation with a large standardized residual Durbin-Watson statistic = 1.83 Regression Analysis Tlle regression equation is PjB = PjB(t-I) Pk-Pk(t-1) Pk(t-1) 18 cases used 1 cases contain nlissing values

12 Colistar~t P.jB(t-I) Pk-Pk(t Pk(t-1) Analysis or Variance Source DF S S MS F P Regression Error Total PjB(t-I) Pk-Pk( Pk(t-I) Umsual Observations Obs PjB(t-I) PjB Fit StDev Fil Residual St Resid R R denotes an observatiot~ wit11 a large standardized residual Durbin-Watson slalistic = 2.18 Regression Analysis Tl~e regression equation is PjC = PjC(t-I) Pk-Pk(t-I) Pk(t-I) 18 cases used I cases contain lnissing values Co~istant P.jC(t-I) Pk-Pk(t Pk(1-I) Aualysis of Variance Source DF SS MS F P Regression Error Total

13 P.jC(t-1) Pk-Pk(t Pk(t-1) Uiiusrlal Observations Obs PjC(t-1) PjC Fit StDev Fit Residual St. Resid R R denotes an observation with a large standardized residual Dorbin-Watson statistic = 2.13 Regression A~~nlysis Tl~e regression equation is P.jD = PjD(t-I) Pk-Pk(t-1) Pk(t-1) 18 cases used I cases conlain ~nissing values Constant P.jD(t-1) Pk-Pk(t Pk(t-I) Source DF SS MS F P Regression Error Total P.jD(t-1) Pk-Pk(t Pk(t-1) Unusual Observations Obs PjD(t-1) PjD Fit StDev Fit Residual St Resid R R denotes an observation wit11 a large standardized residual Durbin-Watson statistic = 1.83

14 ANGGUR Regression Analysis The regression equation is PgA = PgA(t-I) Pk-Pk(t-I) Pk(t-I) 18 cases used 1 cases contain missing values Constant PgA(t-I) Pk-Pk(t Pk(t-1) Sowce DF S S MS F P Regression Error Total PgA(t-1) Pk-Pk(t Pk(t-1) Unusual Observations Obs PgA(t-1) PgA Fit StDev Fit Residual St Resid X X R R denotes an observation with a large standardized residual X denotes an observatio~i wllose X value gives it large influence. Durbin-Watson statistic = 2.10 Regression Analysis The regression equation is PgC = PgC(t-I) Pk-Pk(t-I) Pk(t-I) 18 cases used I cases contain missing values

15 Corlstant PgC(t-I) Pk-Pk(t Pk(t-1) Source DF S S MS F P Regression Error Total PgC(t-I) Pk-Pk(t Pk(t-1) Unusual Observations Obs PgC(t-I) PgC Fit StDcv Fit Residual St Resid X X R R R denotes an observation with a large standardized residual X denotes an observation wllose X value gives it large influence. Durbin-Watson statistic = 1.96 Regression Analysis Tile regression equation is PgD = PgD(t-1) Pk-Pk(t-I) Pk(t-1) 18 cases used 1 cases contain ~tlissing values Constant PgD(t-1) Pk-Pk(t Pk(t-1)

16 Source DF SS MS F P Regression Error Total PgD(t-I) Pk-Pk(t Pk(t-I) Unusual Observations Obs PgD(t-I) PgD Fit StDev Fit Residual St Resid R X X R R denotes an observation with a large standardized residual X denotes an observation wllose X value gives it large influence. Durbin-Watson statistic = 1.88

17 APEL LOKAL Regressioil Analysis The regression equation is PalC = PalC(1-I) IS Pk-Pk(t-I) Pk(t-I) 18 cases used I cases contain lnissing values Constant PalC(1-I Pk-Pk(t Pk(t-I) * Source DF S S MS F P Regression Error Tola PalC( Pk-Pk(L Pk(t-I) Uuusual Observations Obs PalC(1-1 PalC Fit StDev Fit Residual St Resid R X R R denotes an observatioli wit11 a large standardized residi~al X denotes an observatioll whose X value gives it large influence. Durbin-Watson statislic = 1.97 Regression Analysis The regression equation is PalD = PalD(t-1) Pk-Pk(t-I) Pk(t-1) 18 cases used 1 cases contain tnissit~g values

18 Constant PalD(t Pk-Pk(t Pi(-) Source DF S S MS F P Regression Error Total PalD(1-I Pk-Pk(t Pk(t-I) Unnsual Observations 9bs PalD(t-1 PalD Fit StDev Fit Residual St Resid R I X X R denotes an observatio~i with a large standardized residual X denotes an observatio~l wllose X value gives it large influence. Dnrbiu-Watson statistic = 1.74 Saving workslieet in file: C:\A lena!\data\apellok-al.mtw * NOTE * Existing file replaced.

19 JERUK LOKAL Regressio~i Analysis The regression equation is PjlA = PjlA(t-I) Pk-Pk(t-I) Pk(t-I) 18 cases used 1 cases contain n~issing values Constant P-jlA(t Pk-Pk(t Pk(t-I) Source DF S S MS F P Regression krror Total P.jlA(I Pk-Pk(t Pk(t-I) Ul~l~sual Observations Obs PjlA(t-1 P-jlA Fit StDev Fit Residual St Resid R R denotes an observation wit11 a large standardized residual Durbin-Watson statistic = 1.75 Tlle regression equation is P-jlB = PjlB(t-I) Pk-Pk(t-I) Pk(t-I) 18 cases used I cases conlaill lnissi~lg values Predictor Coer SlDev T P Constanl PjlB(t Pk-Pk(t Pk(t-I)

20 Source DF S S MS F P Regression Error Total P.jlB(t Pk-Pk(t Pk(t-1) U~lusual Observations Obs PjlB(1- I P-jlB Fit StDev Fit Residual St Resid R R R denotes an observation with a large standardized residual Durbin-Watson statistic = 1.77 Regressio~r Analysis Tllc regression equation is I'jlC = PjlC(t-I) Pk-Pk(1-I) Pk(1-I) 18 cases used 1 cases contain rtlissing values Constant P-jlC(t Pk-Pk(t Pk(t-1) Source DF S S MS F P Regression Error Total P.ilC(t Pk-Pk(t Pk(t-I)

21 Unusual Observations Obs PjlC(t-l PjlC Fit StDev Fit Residual St Resid R R denotes an observation with a large standardized residual Durbin-Watson statistic = 2.21 Regression A~~alysis Tlie regression equation is P-jlD = PjlD(1-I) Pk-Pk(t-I) Pk(t-I) 18 cases used I cases contain missing values Constant P.jlD(t Pk-Pk(t Pk(t-1) Source DF S S MS F P Regression Error Total FjlD(t Pk-Pk(t Pk(t-1) 1 655'9 Unusual Observations Obs P.jlD(t-1 PjlD Fit StDev Fit Residual St Resid R R denotes an observatiou with a large standardized residual Durbin-Watson statistic = 2.02 Saving workslieet in file: C:\A lena!\data\jeruklok-a.mtw * NOTE * Existing file replaced.

22 Source DF S S MS F P Regression Error Total PsB(t-1) Pk-Pk(t Pk(t-I) Unusual Observations Obs PsB(t-1) PsB Fit StDev Fit Residual St Resid R R R denotes an observation with a large standardized residual Diirbin-Watson statistic = cases used I cases contain missing values Constant PC([-1) Pk-Pk(t Pk(t-I) Source DF S S MS F P Regression Error Total PsC(t-I) Pk-Pk(l- I 520 Pk(t-I)

23 SALAK Regression Analysis The regression equation is PsA = PsA(t-1) Pk-Pk(t-I) f Pk(t-I) 18 cases used I cases contain tnissing values Predictor Coef StDcv T P Consla~il PsA(t-I) Pk-Pk(t Pk(t-I) Source DF SS MS F P Regression Error Total PsA(t-I) Pk-Pk(t I Pk(t-I) Unnsual Observations Obs PsA(t-I) PsA Fit StDev Fit Residual St Resid R R denotes an observation with a large standardized residual Durbin-Watson statistic = 1.75 Regression Analysis The regression equalion is PsB = PsB(t-I) Pk-Pk(t-1) Pk(t-I) 18 cases used 1 cases contain lnissing values Constant PsB(t-I) Pk-Pk(t Pk(t-1) ,

24 U~iusttal Observations Obs PsC(1-I) PsC Fit StDev Fil Residual St Resid R, R R denotes an observation with a large standardized residual Durbin-Watson statislic = 2.16 Regression Analysis Tlie regression equalion is PsD = PsD(t-1) Pk-Pk(t-I) Pk(t-1) 18 cases used I cases contain tnissing values Constant PsD(1-I) Pk-Pk(t Pk(t-I) A~ialysis of Variance Source DF S S MS F P.Regression Error Total Sot~rce DF Seq SS PsD(t-1) Pk-Pk(t- I 15 Pk(t-1) Unusual Observations Obs PsD(1-1) PsD Fit StDev Fit Residual St Resid R R denotes an observation wit11 a large standardized residual Durbin-Watson statistic = 1.70 Saving worksheet in file: C:\A letia!\data\sal,?k-a1.mtw * NOTE * Existing file replaced.