Mapping the Land Suitability Rating of Arabica Coffee Crops: A Geographical Indication Factor-Based Approach

Aims: To map land suitability ratings and organoleptic characteristics of arabica coffee using physical and human dimension attributes constructed from geographical indication components.

Study Design: The study was designed in an integrated manner, using a quantitative approach integrated with a qualitative-descriptive approach and supported by field surveys.

Place and Duration of Study: Conducted in 3 sub-districts within the scope of Sinjai Regency, South Sulawesi Province, Indonesia, at altitudes > 800 m.asl., between February 2021 and August 2022.

Methodology: The method for determining the observation location point is on-screen digitization based on the land cover class seen with satellite imagery. Ground truth implementation, 16 location points were determined with their respective geographical coordinate positions. To analyze soil properties and characteristics, 41 samples were obtained: An organoleptic test of coffee beans, as many as 3 samples representing the sub-district area.

Results: Mapping using physical dimensions in the West Sinjai area resulted in a moderate land suitability rating with an area of 6,976.46 ha; the Sinjai Borong area obtained a less suitable rating of 7,530.32 ha and a moderate rating of 1,457.17 ha, the Central Sinjai area obtained a less suitable rating of 822.16 ha, and a moderate rating of 1,586.47 ha. The compilation of physical and human dimensions in the West Sinjai area shows a moderate rating of 1,057.97 ha and a suitable rating of 5,918.49 ha, Sinjai Borong produces a moderate rating of 8,821.48 ha and a suitable rating of 166.01 ha, Central Sinjai obtained land suitability with a moderate rating of 986.55 ha and a suitable rating of 1,422.08 ha. West Sinjai and Central Sinjai have an organoleptic score of 88.50, with a more specific floral aroma than Sinjai Borong.

Conclusion: Mapping the land suitability ranking of arabica coffee plants using physical and human dimensions provides clear and logical results.