E-Jurnal Ekonomi Sumberdaya dan Lingkungan
Vol. 14 No. 2 (2025): e-Jurnal Ekonomi Sumberdaya dan Lingkungan

Implementasi machine learning dalam pengelompokkan provinsi di indonesia berdasarkan data pencemaran lingkungan hidup

Azmi, Annisa Nurul (Unknown)
Siregar, Arsyka Laila Oktalia (Unknown)
Lesmana, Faqih Indra (Unknown)
Nasir, Andi Ardiansyah (Unknown)
Kartiasih, Fitri (Unknown)



Article Info

Publish Date
25 Jul 2025

Abstract

Environmental pollution is a crucial issue that needs serious attention. The increasing world population will also increase the level of environmental pollution (Mittal & Mittal, 2013) especially in developing countries (Remilekun Adeuti, 2020) This is also the case in Indonesia. Therefore, this research aims to find out which provinces in Indonesia have a high level of pollution by clustering provinces based on environmental pollution data. The methods used in this research are K-Medoids, K-Means, and Fuzzy C- Means as well as Complete Linkage and Ward's Linkage for Agglomerative Hierarchy. The results show that the K-Medoids method is the best method produces 3 clusters, namely clusters with high average pollution of 11 provinces, clusters with average pollution of 12 provinces, and clusters with low average pollution of 11 provinces.

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