Muhammad Yamin Nurzaman
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Implementasi K-Means Clustering Dalam Pengelompokkan Banyaknya Jumlah Petani Berdasarkan Kecamatan di Provinsi Jawa Barat Muhammad Yamin Nurzaman
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 3 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i3.4896

Abstract

Farmers play a crucial role in addressing climate change and the global food crisis, but they must adapt to the changing agricultural production system. To help the West Java Provincial Agriculture Service prepare effective farmer empowerment programs, K-Means Clustering can be used to classify farmers in the province based on sub-districts. This research aims to group sub-districts according to their farmer population, and the clustering process has produced two clusters, with the highest cluster comprising 22,120 people.