Analysis of Robusta Coffee Development in Way Kanan Regency (Study on Robusta Coffee Production Efficiency)

International Journal of Economics and Management Studies
© 2021 by SSRG - IJEMS Journal
Volume 8 Issue 6
Year of Publication : 2021
Authors : Lucky Lanova, Ida Budiarty, Lies Maria Hamzah
pdf
How to Cite?

Lucky Lanova, Ida Budiarty, Lies Maria Hamzah, "Analysis of Robusta Coffee Development in Way Kanan Regency (Study on Robusta Coffee Production Efficiency)," SSRG International Journal of Economics and Management Studies, vol. 8,  no. 6, pp. 53-54, 2021. Crossref, https://doi.org/10.14445/23939125/IJEMS-V8I6P108

Abstract:

This study aims to determine the level of production efficiency of people's coffee plantations in Banjit District, Way Kanan Regency. The method used in this research is a case study. Respondents consisted of red-picked coffee farmers and random-picked coffee farmers. The research was conducted in three villages in Banjit district, namely Juku Batu Village, Menanga Siamang Village and Rantau Temiang Village, Banjit District, Way Kanan Regency. Determination of the location of the study was carried out purposively with the consideration that Banjit district is a district that has the largest commodity-producing potential in Way Kanan Regency. In addition, Banjit district has the production of red-picked and random-picked coffee commodities. The results showed that the production efficiency level of red-picked coffee was on average 0.814 while random-picked coffee was 0.680. Cost Benefit Analysis from the results of the study, namely the efficiency level of red-picked coffee farmers is more profitable than random-picked coffee farmers.

Keywords:

Efficiency, Random-Picked Coffee, Red-Picked Coffee, Robusta Coffee.

References:

[1] Ahmad Rifa’i, Analisis Pengaruh Karakteristik Usaha Kecil terhadap Efisiensi Relatif, Tesis, Program Pascasarjana Universitas Padjajaran. Bandung (2008)
[2] Alvarez. Roberto and Gustavo Crespi, Determinans of Technical Efficiency in Small Firms, Small Business Economics, ABI. Infom Global 20(3) (2003).
[3] Anderson. Tim, A Data Envelopment Analysis (DEA), (1996) Homepage. http://www.emp.pdx.edu/dea/homedea.html
[4] Arsyad. Lincolin, Prospek Pengembangan Industry Kecil di Indonesia: Tinjauan Teoritik Dan Kebijakan. STIE-YKPN.Yogyakarta (1992)
[5] Banker, R.D.,A. Charnes, and W.W Cooper, Some Models For Estimating Technical and Scale Inefficient in Data Envelopment Analysis. Management Science. Vol 30(9) (1984).
[6] Charnes, A. W.W. Cooper, e. Rhodes, Measuring The Efficiency of Decision Making Units. European Journal of Operational Research 2 429 – 444 (1978).
[7] Coelli. Tim, A Guide to DEAP Version 2.1: A Data Envelopment Analysis (Computer) Program. CEPA Working Paper 96/08 (1996). http://www.une.edu.au/econometrics/cepa.htm
[8] Coelli. Tim, at.al. An Introduction to Efficiency and Productivity Analysis. Klower Academic Publisher (1998).
[9] Trisna. Fizzaty, Analisis Efisiensi Ekonomi dan Respon Subtitusi Antara Pemakai Modal dan Tenaga Kerja Industri Kecil di Indonesia. Tesis. Program Pasca Sarjana Institut Pertanian Bogor (1999).
[10] Yusuf Supena, Analisis Efisiensi Teknis dan Perubahan Teknis serta Faktor-Faktor yang Mempengaruhi Produktivitas Faktor Total pada Industri Kimia Dasar Organik di Indonesia. Disertasi. Program Pascasarjana Universitas Padjajaran. Bandung (2005).
[11] Zheng. Jinghai, Xiauxuan. Liu, and Arne Bigsten, Efficiency, Technical Progress, and Best Practice in Chinese State Enterprises (1980-1994). Working Paper in Economics (30) (2000).
[12] Zaidi. R, Analisis Harga Pokok Produksi Pada Usaha Kecil Menengah (UKM) kopi luwak di Kabupaten Lampung Barat. Majalah TEGI,8(2) (2016)