UNP Journal of Statistics and Data Science
Vol. 3 No. 4 (2025): UNP Journal of Statistics and Data Science

Application of K-Means Clustering for Grouping Plantation Production in West Pasaman Regency in 2024

Dini Andita Putri (Unknown)
Fitri Mudia Sari (Unknown)
Chairini Wirdiastuti (Unknown)



Article Info

Publish Date
30 Nov 2025

Abstract

The plantation sector plays a strategic role in supporting the economy of West Pasaman Regency, with major commodities including oil palm, coconut, rubber, cocoa, and patchouli. However, disparities in production across subdistricts require further analysis to identify regions with similar characteristics. This study applies the K-Means Clustering method, with the optimal number of clusters determined using the Elbow Method. The results show three clusters: the first with relatively balanced production, the second dominated by rubber and cocoa, and the third represented by Kinali District with high dominance of oil palm, coconut, and patchouli. These findings indicate that K-Means Clustering can effectively map regional plantation potentials and provide a useful basis for formulating targeted development strategies to optimize resource allocation and support sustainable agricultural planning in West Pasaman Regency.

Copyrights © 2025






Journal Info

Abbrev

ujsds

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Mathematics Social Sciences

Description

UNP Journal of Statistics and Data Science is an open access journal (e-journal) launched in 2022 by Department of Statistics, Faculty of Science and Mathematics, Universitas Negeri Padang. UJSDS publishes scientific articles on various aspects related to Statistics, Data Science, and its ...