ARRUS Journal of Social Sciences and Humanities
Vol. 3 No. 2 (2023)

The Implementation of Spatial Model with K-Means Clustering Method to Cluster Flood Affected Areas in Bone Regency

Irwan Irwan (Department of Mathematics, Universitas Negeri Makassar, Makassar, 90223, Indonesia)
Wahidah Sanusi (Department of Mathematics, Universitas Negeri Makassar, Makassar, 90223, Indonesia)
Adil Saputra Anwar (Department of Mathematics, Universitas Negeri Makassar, Makassar, 90223, Indonesia)
Abdul Rahman (Department of Mathematics, Universitas Negeri Makassar, Makassar, 90223, Indonesia)



Article Info

Publish Date
30 May 2023

Abstract

This research is an applied research that aims to determine the clusters of areas affected by floods in bone regency. This study user the K-means method in clustering flood data in 2020 and 2021. The data is grouped based on the number of families affected and the resulting damage. In determining the number of clusters to be used, this study validated 3, 4 and 5 clusters using the davis bouldin index (DBI) validation in determining the best cluster. The results of this validation resulted in the best number of clusters, namely k=4 for 2020 data with a minimum DBI of 0,73 and k=4 for 2021 data with a minimum DBI of 0,44. After clustering, the cluster number for data for 2020 from the firs to fourth cluster member are 34, 7, 2 and 3 sequentially, while the data for years 2021 sequentially are 3, 22, 3 and 1. Then the cluster results are displayed in a spatial form that is created using ArcGIS.

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Journal Info

Abbrev

soshum

Publisher

Subject

Religion Humanities Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Social Sciences

Description

Social Sciences: Anthropology, Asian Studies, Communication, Demography, Development, Gender Studies, Government & Public Policy, Human Ecology, International Relations, Media Studies, Peace and Conflict, Political Science, Science, Technology & Society, Sociology. Humanities: Cultural Studies, ...