Assessment of Land Suitability in Altitude of Ende, East Indonesia, as a Fundament Strategy for Growing Coffee (Coffea arabica)

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Authors: Mujiyo Mujiyo, Hilda Fadhila Lutfi, Aktavia Herawati, Ongko Cahyono, Sri Wahyuni, Charly Mutiara, Willybrodus Lanamana
Cited by: 1

Abstract

Ende Sub-District, East Nusa Tenggara, has various topographies with an altitude of 0-1,100 masl that can potentially develop Arabica coffee. Still, there is no information available regarding the suitability of the land. This study aims to evaluate the actual land suitability of Arabica coffee based on soil and environmental characteristics. The research method is descriptive explorative through a field survey approach supported by laboratory analysis. Determination of SMU (soil map unit) was carried out by purposive sampling through boring at 31 points, then classified based on soil type to obtain five pedons that represent SMU in Ende Sub-District. Soil sampling was carried out on each layer of each pedon. Data analysis used ANOVA and Pearson correlation tests to determine the determining factors that influence the land suitability class of Arabica coffee. The evaluation results showed that the actual land suitability for Arabica coffee was included in the marginally suitable (S3) and unsuitable (N) classes, with limiting factors in the form of average temperature, altitude, length of dry period, drainage, base saturation, available P, slope, and erosion hazard. The results of the ANOVA test showed that altitude significantly affected the land suitability class for Arabica coffee, with the best land suitability class at an altitude of 800-1,100 masl. Based on the correlation between land suitability class and land characteristic parameters, the determining factors for land suitability class include average temperature, humidity, drainage, texture, coarse material, total N, available K, erosion hazard, surface rocks, and rock outcrops. Land improvement recommendations are based on making an irrigation system, providing shade plants, N fertilization (urea fertilizer), K fertilization (KCl fertilizer), and terracing.

Fields of Study & Subjects

Soil and Land Suitability Analysis Agricultural Research and Practices Artificial Intelligence and Decision Support Systems

Publication details

Journal / source
Jurnal Agribisnis dan Agrowisata (Journal of Agribusiness and Agritourism)
Publisher
Universitas Padjadjaran
Volume
36
Issue
3
Pages
441–458
Publication date
17 January 2026