Analisis Kesesuaian Lahan Untuk Pengembangan Kopi Robusta dengan Pendekatan Parametrik Terbaru

Land Suitability Analysis for Robusta Coffee Development with The Latest Parametric Approach

Authors

  • Nirmala Juita [SINTA ID : 6669467] Faculty of Agriculture, Universitas Hasanuddin

DOI:

https://doi.org/10.20956/ecosolum.v9i2.12391

Keywords:

Coffee, robusta, parametric approach, bantaeng, Ridha, parametric

Abstract

Coffee is one of the mainstay of plantation commodities that has a significant contribution to the Indonesian economy, namely as a source of export foreign exchange, a source of income for farmers, a producer of industrial raw materials and job creation. The high public interest in coffee drinks has made the existence of coffee plants a highly competitive plant, so that land suitability for coffee plants needs to be done. The method used in the coffee land suitability analysis is based on square root and ridha (the latest parametric approach). The results showed that the land suitability class using the square root method was N1 at all observation points of the soil profile. There are limiting factors for soil depth and pH of H2O (profiles 1, 2, 3, 4, 5 and 6) and salinity (profiles 1, 2 and 3) in Robusta coffee, while the land suitability class obtained using the Rabia method is the profile observation point. 2 and 3 are classified into N1 (not suitable at this time) with limiting factors for soil depth, pH H2O and salinity, while at the observation point profiles 1, 4, 5 and 6 on Robusta coffee are classified into S3 (according to marginal) with limiting factors. Soil physical characteristics (soil depth and pH H2O).

Author Biography

Nirmala Juita, [SINTA ID : 6669467] Faculty of Agriculture, Universitas Hasanuddin

Department of Soil Science

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Published

2021-01-28

How to Cite

Juita, N. (2021). Analisis Kesesuaian Lahan Untuk Pengembangan Kopi Robusta dengan Pendekatan Parametrik Terbaru: Land Suitability Analysis for Robusta Coffee Development with The Latest Parametric Approach. Jurnal Ecosolum, 9(2), 74–82. https://doi.org/10.20956/ecosolum.v9i2.12391

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