GROUPING PROVINCES IN INDONESIA BASED ON THE NUMBER OF VILLAGES AFFECTED BY ENVIROMENTAL POLLUTION WITH K-MEDOIDS, FUZZY C-MEANS, AND DBSCAN

  • Idrus Syahzaqi Department of Mathematics, Faculty of Science and Technology, Universitas Airlangga, Indonesia https://orcid.org/0009-0004-8129-0405
  • Magdalena Effendi Department of Statistics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Indonesia
  • Hasri Rahmawati Department of Statistics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Indonesia
  • Heri Kuswanto Department of Statistics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Indonesia
  • Sediono Sediono Department of Mathematics, Faculty of Science and Technology, Universitas Airlangga, Indonesia
DOI: https://doi.org/10.30598/barekengvol18iss2pp0923-0936
Keywords: Enviromental Pollution, K-Medoids, Fuzzy C-Means, DBSCAN

Abstract

Pollution can cause the environment to not function properly and ultimately harm humans and other living things. Environmental pollution is a problem that needs to be resolved because it involves the safety, health, and survival of living things. Air pollution in Pekanbaru due to a long dry season has resulted in forest fires. Then, 70% of drinking water is contaminated by fecal waste. In addition, the contamination of the land by the Chevron company resulted in residents suing the company. Until now, there has been no research that has carried out a comparison between methods for grouping villages affected by environmental pollution at the provincial level in Indonesia, so it is important to select the best method for carrying out the grouping. The limitations of this research are the use of three methods for clustering: K-Medoids, Fuzzy C-Means, and DBSCAN. The results showed that Fuzzy C-Means with five clusters have an optimal value compared to DBSCAN with an ICD rate value of 0,351. This method can be used by the government to improve the quality of villages that are clean from pollution in Indonesia, monitoring and evaluation based on the clusters formed.

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Published
2024-05-25
How to Cite
[1]
I. Syahzaqi, M. Effendi, H. Rahmawati, H. Kuswanto, and S. Sediono, “GROUPING PROVINCES IN INDONESIA BASED ON THE NUMBER OF VILLAGES AFFECTED BY ENVIROMENTAL POLLUTION WITH K-MEDOIDS, FUZZY C-MEANS, AND DBSCAN”, BAREKENG: J. Math. & App., vol. 18, no. 2, pp. 0923-0936, May 2024.
Issue
Vol 18 No 2 (2024): BAREKENG: Journal of Mathematics and Its Application
Section
Articles

Copyright (c) 2024 Idrus Syahzaqi, Magdalena Effendi, Hasri Rahmawati, Heri Kuswanto, Sediono Sediono

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