K-Prototypes Algorithm For Clustering The Tectonic Earthquake In Sulawesi Island

Annas, Suwardi and Irwan, Irwan and H S, Rahmat and Rais, Zulkifli (2022) K-Prototypes Algorithm For Clustering The Tectonic Earthquake In Sulawesi Island. Jurnal Varian, 5 (2). pp. 191-198. ISSN 2581-2017

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Official URL: http://doi.org/10.30812/varian.v5i2.1908

Abstract

Natural disasters related to the tectonic earthquakes frequently occur in Sulawesi Island, mainly in Central Sulawesi and West Sulawesi. This study aims to cluster the tectonic earthquakes occurrence in the range of 2017 to 2020. The variables used were magnitude, depth, and distance category. The characteristic of tectonic earthquakes produces a mixed type of objects between numeric and categorical type attribute. The method of k-prototypes algorithm was proposed for clustering the data because it can be used to handle on data mixed numeric scale and categorical scale. The study resulted four clusters in 2017, six clusters in 2018, five clusters in 2019, and six clusters in 2020. These clusters were formed based on the results cluster on a ratio of within-cluster distance against between-cluster distance. It can be related to the active fault on Sulawesi Island. The characteristics of clusters form each year are the greater magnitude. The result of study also showed that the used of k-prototype algorithm can properly classify the occurrence of tectonic earthquakes on the Sulawesi Island.

Item Type: Article
Subjects: FMIPA > STATISTIKA - (S1)
FMIPA > Matematika
Divisions: FAKULTAS MIPA
Depositing User: FMIPA UNM
Date Deposited: 24 Aug 2022 09:22
Last Modified: 24 Aug 2022 09:22
URI: http://eprints.unm.ac.id/id/eprint/24410

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