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Journal : Journal of Agribusiness and Local Wisdom

IDENTIFIKASI FAKTOR PENENTU BESARAN INDEKS “K” DAN KEBIJAKAN PENETAPAN HARGA TBS KELAPA SAWIT POLA KEMITRAAN DI KABUPATEN MUARO JAMBI Rahman, A; Malik, Adlaida; Siata, Ratnawati
JALOW | Journal of Agribusiness and Local Wisdom Vol. 1 No. 2 (2018): Journal of Agribusiness and Local Wisdom
Publisher : Program Studi Agribisnis bekerja sama dengan PERHEPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (205.522 KB) | DOI: 10.22437/jalow.v1i1.5450

Abstract

Penelitian ini bertujuan untuk mengidentifikasi faktor penentu besaran Indeks K dimana nilai Indeks K ini digunakan untuk penetapan harga Tandan Buah Segar kelapa sawit (TBS) yang dipedomi oleh perusahaan pabrik kelapa sawit dan petani. Analisis regresi dilakukan terhadap data historis bulanan dari tahun 2001 sampai 2012 yang bersumber dari data penetapan harga TBS di Dinas Perkebunan Provinsi Jambi. Dengan tingkat kesesuaian model (R2) sebesar 41.9, pengujian hipotesis pengaruh biaya pengolahan TBS menjadi Crude Palm Oil (CPO) dan minyak Inti Sawit (Palm Kernel Oil), biaya pemasaran, biaya penyusutan dan biaya operasional tidak langsung terhadap besaran indek K menunjukkan bahwa, harga biaya tidak langsung yang berpengaruh nyata terhadap besaran nilai Indeks K, sementara variabel lainnya berpengaruh negatif tetapi tidak nyata dengan tingkat kepercayaan 10 persen. Kebijakan Pabrik Kelapa Sawit (PKS) dalam pembelian TBS menunjukkan bahwa PKS dengan Pola PIR Trans plus KKPA menetapkan harga di bawah harga ketetapan, sementara PKS pada pola PIR menetapkan harga di bawah harga ketetapan. Dari hasil penelitian juga ditemukan bahwa perusahaan yang mengelola kebun dengan pola KKPA menetapkan harga beli sesuai dengan ketetapan Tim Penetapan Harga TBS.
ANALISIS PEMASARAN CASSIAVERA DENGAN PENDEKATAN STRUCTURE, CONDUCT DAN PERFORMANCE (SCP) DI KABUPATEN KERINCI Hardiyanti, Wika; Wahyuni, Ira; Rahman, A
JALOW | Journal of Agribusiness and Local Wisdom Vol. 3 No. 2 (2020): Journal Agribusiness and Local Wisdom
Publisher : Program Studi Agribisnis bekerja sama dengan PERHEPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jalow.v3i2.11618

Abstract

ABSTRACT Product information dissemination (3) Marketing costs in marketing channel I of Rp.340.80/kg, on marketing channel II in the amount of Rp. 303.13/kg and in marketi This study aims to (1) Describe cassiavera marketing channels in Kerinci Regency, (2) Analyze the structure, behavior and market performance of cassiavera in Kerinci Regency, (3) Analyze cassiavera marketing efficiency in Kerinci Regency. The study was conducted in Kerinci Regency with a total of 30 respondents. Marketing Channel Description is done by describing several marketing channels. Market Structure Analysis is used with several indicators, namely the number of sellers and buyers, barriers to market entry, the nature of the product, market information. Marketing efficiency analysis is done by analyzing market performance through marketing margins, farmer's share, and profit ratios. The results showed that (1) There were Cassiavera three marketing channels in Kerinci Regency, channel I (Farmer-PPD-PPKec-PPKab-Exporter Company), marketing channel II (Farmer-PPkec-PPKab-Exporter Company), marketing channel III (Farmer-PPKab-Exporter Company), (2) Market Structure leads to oligopic markets, homogeneous product characteristics, high market entry barriers and non-transparent ng channel III Rp. 469.66/kg. Marketing Margin Calculation in each channel shows that the biggest marketing margin in marketing channel III is Rp 1,500.00/kg, in marketing channel I is Rp.1,045.50/kg and in marketing channel III is Rp.1000.00/kg . The profit/cost ratio obtained in marketing channel I was 2.18%, in marketing channel II the profit/cost ratio was 2.23% and the profit/cost ratio in channel III was 2.19%. Farmer's Share in marketing channel I was IDR 67.36%, in marketing channel II was 68.25% and in marketing channel III was 66.15%. From all marketing channels, it is found that marketing channel II is an efficient cassiavera marketing channel.
PENENTUAN KOMODITAS UNGGULAN SUB SEKTOR HORTIKULTUTA DI KABUPATEN MUARO JAMBI Sadikin, Sadikin; Edison, Edison; Rahman, A
JALOW | Journal of Agribusiness and Local Wisdom Vol. 4 No. 2 (2021): Journal Agribusiness and Local Wisdom
Publisher : Program Studi Agribisnis bekerja sama dengan PERHEPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jalow.v4i2.16492

Abstract

The research aims to: (1) determine the commodity horticulture sub-sector of seasonally and superior / base and non-superior / non-base annual and vegetable types in Muaro Jambi Regency during 2014 to 2018; (2) knowing the commodity horticulture sub-sector annual and annual vegetable and fruit types that have fast growth and good competitiveness in Muaro Jambi Regency from 2014 to 2018. Data used secondary data from 2014 to 2018. Analysis tools used in this research are Location Quotient (LQ) and Shift Share. The results of the study inform that (1). Commodities of seasoned vegetables and fruits are long beans, eggplant, beans, cucumbers, spinach and watermelons, which are not superior / non-base are Chinese cabbage / mustard greens, large chillies, cayenne pepper, tomatoes and kale. Commodities of types of vegetables and fruits of superior / base year are duku and pineapple, which are not superior / non-base are durian, siam oranges, mango, jackfruit, papaya, banana, rambutan and sapodilla (2). Types of vegetables and fruits that have a fast growth are Chinese cabbage, long beans, cayenne pepper, eggplant, green beans, cucumber, kale, spinach. Types of vegetables and annual fruits that have fast growth are duku, durian, tangerine, mango, jackfruit, papaya, banana, rambutan, sapodilla. Types of vegetables and annual fruits that have competitiveness are long beans, large chili, cayenne pepper, watermelon. Types of vegetables and annual fruits that have competitiveness are duku, durian, jackfruit, rambutan.
Analisis Faktor – Faktor Yang Mempengaruhi Produksi Kedelai Di Kabupaten Tebo Provinsi Jambi Production Factors Budiyarto, Eko; Napitupulu, DMT; Rahman, A
JALOW | Journal of Agribusiness and Local Wisdom Vol. 5 No. 2 (2022): Journal Agribusiness and Local Wisdom
Publisher : Program Studi Agribisnis bekerja sama dengan PERHEPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jalow.v5i2.23104

Abstract

the center of soybean production in Jambi Province. Data was collected through filling out questionnaires with the survey method. A sample of 70 farmers was determined through stratified random sampling. The data were analyzed using multiple regression method, so the analysis used refers to the formulation of the research objectives. The production function model used is Cobb Douglas. The data obtained were analyzed and regressed to find out how much the independent variables (land area, number of seeds, NPK fertilizer, organic fertilizer, pesticides, rhizobium and labor) affected soybean production as the dependent variable. The average land area for soybean farming in the study area is 2.40 ha. The seeds used are certified superior seeds of the Anjasmoro variety with a planting age of 80-90 days. Based on the results of the study, the average use of production factors in soybean farming at the research location was the use of 43.98 kg/ha of seeds, 216.12 g/ha rhizobium, 54.91 kg/ha NPK, 2.75 l/ha organic fertilizers. ha, pesticides 2.10 liters/ha, labor 19.92 HOK/ha. The average production at the research site is 3.595 tons with an average productivity of 1.53 tons/ha. Soybean cultivation by farmers aims to benefit from the sale of crops. The cropping pattern used is a monoculture cropping pattern with a spacing of 50-60 cm. Based on the regression results of soybean farming in the research area, the use of production factors of land area, number of seeds, NPK fertilizer, rhizobium and pesticides are factors that affect soybean production in Tebo Regency. Meanwhile, organic fertilizer and labor have no effect on soybean farming production in Tebo Regency.
Biaya Peremajaan Kelapa Sawit Rakyat Dari Berbagai Sumber Dana Di Kecamatan Sungai Bahar Kabupaten Muaro Jambi Sri Rahayu, Agustini; HD, Ernawati; Rahman, A
JALOW | Journal of Agribusiness and Local Wisdom Vol. 5 No. 2 (2022): Journal Agribusiness and Local Wisdom
Publisher : Program Studi Agribisnis bekerja sama dengan PERHEPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jalow.v5i2.23110

Abstract

Muaro Jambi Regency is one of the district's oil palm production centers in Jambi Province. Oil palm production decreases every year due to the presence of old oil palm plantations and one of the efforts to increase oil palm production is oil palm rejuvenation. This study aims to describe the implementation and costs of oil palm rejuvenation from various funding sources in the research area, and to analyze the differences in the costs of oil palm rejuvenation from various funding sources. The method of analysis in this study is descriptive analysis and the analysis of the Z-test Difference Test. The results of this study indicate that there is a difference between the two costs of oil palm rejuvenation, a decision is obtained that significantly: (a) The cost of oil palm rejuvenation from conventional BPDPKS funding sources is higher than Mandiri underplanting techniques. The value of Asymp.sig (2 tailed) is 0.000 < = 5% 0.05 and the value of z-count > z-table (6,339 > 0.999) so that a decision to reject H0 is obtained; (b) The cost of oil palm rejuvenation from conventional technical BPDPKS funding sources is higher than conventional technical BI funding sources. The value of Asymp.sig (2 tailed) is 0.005 < = 5% 0.05 and the value of z-count > z-table (2.785 > 0.997) so that a decision to reject H0 is obtained; (c) The cost of oil palm rejuvenation from conventional technical BPDPKS funding sources is higher than conventional technical technical APBN sources. The value of Asymp.sig (2 tailed) is 0.000 < = 5% 0.05 and the value of z-count > z-table (3.989 > 0.999) so that a decision to reject H0 is obtained.