Case Study – Land Suitability Assessment for Coffee Agroforestry in Selobanteng, Situbondo, East Java, Indonesia

Authors

  • Lia Hapsari Research Center for Applied Botany, National Research and Innovation Agency, Cibinong, West Java, Indonesia. https://orcid.org/0000-0003-0418-230X
  • Trimanto Trimanto Research Center for Biota System, National Research and Innovation Agency, Cibinong, West Java, Indonesia. https://orcid.org/0000-0002-8751-6995
  • Setyawan Agung Danarto Research Center for Ecology, National Research and Innovation Agency, Cibinong, West Java, Indonesia. https://orcid.org/0000-0002-5617-4144
  • Shofiyatul Mas'udah Research Center for Applied Botany, National Research and Innovation Agency, Cibinong, West Java, Indonesia. https://orcid.org/0000-0003-1284-5636
  • Janis Damaiyani Directorate of Scientific Collection Management, National Research and Innovation Agency. Central Jakarta, Special Capital Region of Jakarta, Indonesia. https://orcid.org/0000-0003-0667-1908
  • Rachmawan Adi Laksono Center for Data and Information, National Research and Innovation Agency. Central Jakarta, Special Capital Region of Jakarta, Indonesia. https://orcid.org/0000-0002-6004-5302
  • Sugeng Budiharta Research Center for Ecology, National Research and Innovation Agency, Cibinong, West Java, Indonesia. https://orcid.org/0000-0002-5350-2966
  • Titut Yulistyarini Research Center for Ecology, National Research and Innovation Agency, Cibinong, West Java, Indonesia. https://orcid.org/0000-0003-3560-2725

DOI:

https://doi.org/10.25186/.v21i.2459

Abstract

Coffee is an important agricultural commodity with both economic and ecological importance. Before cultivating coffee, land suitability analysis is essential to establish a scientific basis for the initiative’s success. This study aimed to assess the suitability of land for coffee agroforestry development in the community forest of Selobanteng, Situbondo, East Java, using GIS-based spatial analysis and the agroecological matching method, as well as to identify key constraints. The results of the GIS analysis, based on altitude, temperature, and slope, indicated that the community forest was classified as unsuitable (N) for Arabica coffee but suitable for Robusta coffee (S1, S2, S3). Furthermore, the actual land suitability class determined using the matching method for Robusta coffee was not suitable (N), with the most critical limiting factor being the number of dry months, which affected water availability. Insufficient rainfall, with 5 to 9 dry months annually, could hinder coffee growth and productivity. Other limiting factors included low organic carbon levels and steep slopes. However, if the most severe limiting factor was mitigated, the potential land suitability for Robusta coffee was predominantly classified as S3 (marginally suitable). Several recommendations are provided in this study to overcome these constraints and address associated agroecological and socioeconomic challenges.

Key words: Agroecological suitability; coffee agroforestry; GIS; matching method; robusta.

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Published

2026-09-09

How to Cite

HAPSARI, Lia; TRIMANTO, Trimanto; AGUNG DANARTO, Setyawan; MAS’UDAH, Shofiyatul; DAMAIYANI, Janis; ADI LAKSONO, Rachmawan; BUDIHARTA, Sugeng; YULISTYARINI, Titut. Case Study – Land Suitability Assessment for Coffee Agroforestry in Selobanteng, Situbondo, East Java, Indonesia. Coffee Science - ISSN 1984-3909, [S. l.], v. 21, p. e212459, 2026. DOI: 10.25186/.v21i.2459. Disponível em: https://coffeescience2.ufla.br/index.php/Coffeescience/article/view/2459. Acesso em: 20 oct. 2026.