Designing New Strategy for Enhancing Robusta Coffee Production: An Application of Interpretative Structural Modeling

Authors

  • Andi Nuddin Faculty of Agriculture, Universitas Muhammadiyah Parepare
  • Reskiana Reskiana Faculty of Agriculture, Universitas Muhammadiyah Parepare
  • Arman Arman Faculty of Agriculture, Universitas Muhammadiyah Parepare
  • Syarifuddin Yusuf Faculty of Economic, Universitas Muhammadiyah Parepare
  • Nuringsih Nuringsih Faculty of Economic, Universitas Muhammadiyah Parepare
  • Muhammad Arsyad Faculty of Agriculture, Universitas Hasanuddin
  • Andi Bustan Faculty of Education, Universitas Palangkaraya
  • Alimuddin Laapo Faculty of Agriculture, Universitas Tadulako

DOI:

https://doi.org/10.20956/ijas.v6i2.1690

Keywords:

Strategy, Production, Robusta Coffee, ISM

Abstract

One of the causal factors affect coffee production declining in Indonesia is the decline in harvest area of coffee plants. The decline in the area of coffee farming is caused by the shift of farmers from coffee to other commodities, such as corn, vegetables and fruit. The research was conducted to determine new strategic steps in order to enhance robusta coffee production. To achieve the research objectives, Interpretative Structural Modeling (ISM) analysis and modeling techniques are carried out. This modeling technique does not require a large sample, so the sample used in this study is limited to 22 people from several related agencies. Data processing in research is carried out according to the needs of Interpretative Structural Modeling (ISM) analysis. The results show that the new strategy in developing Robusta coffee production is (1) rehabilitation of coffee plants, (2) rejuvenation of coffee plants, (3) selection of superior coffee varieties, (4) provision of farming roads, (5) coffee price stabilization, (6) intensification of coffee plants, (7) pest control, and (8) increased knowledge of farmers. These new combinations strategy can be strongly expected to enhance robusta coffee production in the country.

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Published

2019-01-01

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Section

Articles