Application of K-Medoids Algorithm in Provincial Grouping in Indonesia Based On Case of Environmental Pollution

Muh. Hizbul Zainul Muttaqim; Ruliana Ruliana; Zulkifli Rais

doi:10.35877/sainsmat1775

Muh. Hizbul Zainul Muttaqim Department of Statistics, Universitas Negeri Makassar, Makassar, 90223, Indonesia (ID)
Ruliana Ruliana Department of Statistics, Universitas Negeri Makassar, Makassar, 90223, Indonesia (ID)
Zulkifli Rais Department of Statistics, Universitas Negeri Makassar, Makassar, 90223, Indonesia (ID)

https://doi.org/10.35877/sainsmat1775

Keywords: Cluster Analysis, K-Medoids, Environmental Pollution

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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.