Kombinasi optimum usahatani kopi arabika dan robusta: studi kasus unit usaha petani di desa karangpring kabupaten jember

Puspita, Cindy (2017) Kombinasi optimum usahatani kopi arabika dan robusta: studi kasus unit usaha petani di desa karangpring kabupaten jember. Masters thesis, Institut Pertanian Bogor.

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Abstract

The farmers have to make management decision continuously that focus on production, the availability of production factors, finance, and marketing. Applying information and technology in coffee farming also need to be accompanied by business management. The problem in coffee farming is how to optimizing and allocating the available resources. The majority of coffee farmers do not realize that business plan is very important in coffee farming. The consequence is that they often make decision intuitively. Optimum combination is used to solve the problem of coffee farming plan in optimizing resource allocation. One of these combinations is the optimum combination of coffee farming for arabica and robusta coffee. By this, it hopes that the sample-farmers will make decision even if there is a problem. The problem here is the limited resources, is that the production factors. It includes land, labor, capital, etc. The farmers have to be able managing their limited resources. By applying combination in planting arabica and robusta coffee, it hopes that the farmers will gain the high profit. The farmers have an area of coffee plantation for arabica and robusta coffee. It is not usual. As we know, the terms and conditions for both coffees are different. Although the farming for both coffees is different, the resources that it needs is almost the same. Based on this, it is important to research the optimum combination of coffee farming for arabica and robusta coffee by allocating efficiently the limited resources so that it may achieve the goal is that optimizing profit of the farmers. The objectives of the research are: 1. Analyzing the optimum resources allocation of coffee farming of arabica and robusta coffee. 2. Analyzing the price sensitivity. 3. Analyzing the management. This research used the data of coffee farming of arabica and robusta coffee in 2013. It only covered the farming of arabica and robusta coffee that produces raw coffee beans. It only researched one unit of farming with one sample farmer. I applied the research in village Karangpring, Sukorambi, Jember. The research is based on purposive method. The research method here is descriptive method and analytical method. The data is primary and secondary data. The data collection used interview, document research, and observations. Sample technique here is purposive method with single sample. Data analysis I used was linier program analysis with software POM-QM for Windows. The results of this research are: a) From the optimum analysis, I suggest to plant arabica coffee with the optimum production 4,700,947, kg and to plant robusta coffee with the optimum production 9,699,053 kg. b) The resources of the farming here is not optimum because there are some unbeneficial resources and some resources that are over-usage. c) Farming resources arabica and Robusta coffee can be declared to be optimal, because the difference between actual income and the optimal income of farmer is only 0,019%. Effective resource allocation can optimize the income of farmer. d) The farmers need to be careful to the resources high price for coffee farming because it is not expected. While for the coffee price, the farmers have to be careful for its low price. Therefore, the farmers have to be more careful to the price of arabica coffee that is more sensitive to change. e) Considering each resources, the farmers need to be careful for transportation cost of arabica coffee because the most sensitive resources, maximally and minimally, is the transportation for arabica coffee. Managerial implication that we can observe are: a) Based on shadow price, it concludes that fertilizer and transportation resources constitute the scarce resources. The farmers need to be careful in using it. Labor, pesticides, fertilizers, transportation and capital resources, found its shadow price in 0, which means some of them are unbeneficial. b) We may make arabica coffee price higher up to Rp 5,230.529 and even if the price becomes lower up to Rp 4,503.4, it will not influence the optimum profit that the farmers gain. Meanwhile, we may make robusta coffee price higher up to Rp 4,496.6 and even if the price becomes lower up to Rp 3,888.696, it will not influence the optimum profit of the farmers. c) The farmers need to be careful to the resources high price for coffee farming because it is not expected. While for the coffee price, the farmers have to be careful for its low price. Therefore, the farmers have to be more careful to the price of arabica coffee that is more sensitive to change. d) Considering each resources, the farmers need to be careful for transportation cost of arabica coffee because the most sensitive resources, maximally and minimally, is the transportation for arabica coffee.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Kombinasi optimum, kopi Arabika, kopi Robusta, program linier, sensitivitas harga, software POM-QM optimum combination, Arabica coffee, Robusta coffee, linier program, price sensitivity
Subjects: Manajemen Keuangan
Depositing User: SB-IPB Library
Date Deposited: 06 Mar 2018 01:31
Last Modified: 06 Mar 2018 01:32
URI: http://repository.sb.ipb.ac.id/id/eprint/3012

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