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Analisis Klaster Kecamatan Menurut Potensi Tanaman Pangan di Kalimantan Tengah Tahun 2023 Dwi Ari Suryawan. S; Rasyid Ridha
Seminar Nasional Official Statistics Vol 2026 No 1 (2026): Seminar Nasional Official Statistics 2026
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2026i1.2825

Abstract

Official statistics can be used to identify variations in agricultural potential and support evidence-based policymaking. This study aims to describe food-crop conditions and classify 136 districts in Central Kalimantan according to their agricultural potential which proxied by agricultural land and business dimensions. Data were obtained from the 2023 Agricultural Census and included rice-field area controlled by individual agricultural holdings and the numbers of holdings cultivating rice, maize, peanuts, cassava, and sweet potatoes. Descriptive analysis and K-Means clustering were employed. The silhouette coefficient indicated that the two-cluster solution was optimal, while a four-cluster solution was also examined to provide more detailed commodity-based typologies. The two-cluster results showed that the first cluster had greater overall food- crop potential. The four-cluster solution revealed distinct advantages across rice, maize, and secondary food crops. These findings provide a basis for developing more targeted agricultural policies tailored to the characteristics and potential of individual districts.