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All Journal SAINSMAT: Journal of Applied Sciences, Mathematics, and Its Education
Muh. Hizbul Zainul Muttaqim
Department of Statistics, Universitas Negeri Makassar, Makassar, 90223, Indonesia
Biochemistry, Genetics & Molecular Biology Chemistry Immunology & microbiology Mathematics Physics

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Application of K-Medoids Algorithm in Provincial Grouping in Indonesia Based On Case of Environmental Pollution Muh. Hizbul Zainul Muttaqim; Ruliana Ruliana; Zulkifli Rais
SAINSMAT: Journal of Applied Sciences, Mathematics, and Its Education Vol. 12 No. 1 (2023)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/sainsmat1775

Abstract

Cluster analysis is a method for grouping objects that have the same characteristics. One of the methods in cluster analysis used to group data is the K-Medoids method. In this study the K-Medoids method was applied to classify provinces in Indonesia based on environmental pollution. The variables used are: the number of sub-districts/villages that experience water pollution from factory waste, the number of sub-districts/villages that experience water pollution from household waste, the number of sub-districts/villages that experience soil pollution from factory waste, the number of sub-districts/villages that experience soil pollution from household waste, the number of sub-districts/villages that experience air pollution from factory waste and the number of sub-districts/villages that experience air pollution from household waste. Based on the Davies Bouldin Index, the 2 best clusters were obtained where the first cluster consisted of 31 provinces which had low environmental pollution and the second cluster consisted of 3 provinces which had high environmental pollution.
Co-Authors Ruliana Zulkifli Rais