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All Journal VARIANSI: Journal of Statistics and Its Application on Teaching and Research
Gerald Claudio Messakh
Universitas Mulawarman
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics

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PENGELOMPOKAN PROVINSI DI INDONESIA BERDASARKAN DATA JUMLAH KEJADIAN DAN DAMPAK BENCANA BANJIR MENGGUNAKAN METODE FUZZY C-MEANS Memi Nor Hayati; Rito Goejantoro; Meiliyani Siringoringo; Ika Purnamasari; Desi Yuniarti; Khairun Nida; Gerald Claudio Messakh
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 6 No. 01 (2024)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm167

Abstract

Cluster analysis is a technique used to find groups of similar data objects. The Fuzzy C-Means (FCM) method is a data grouping method where the existence of each data in a cluster is determined by the degree of membership. This study aims to determine the optimal number of clusters based on the Modified Partition Coefficient (MPC) validity index and to determine the optimal grouping results of 34 provinces in Indonesia based on data on the number of events and the impact of floods in 2017-2021. The optimal number of clusters using the FCM method is based on MPC value consists of 2 clusters, namely the first cluster consisting of 27 provinces in Indonesia and the second cluster consisting of 7 provinces in Indonesia.
Co-Authors Desi Yuniarti Ika Purnamasari Khairun Nida Meiliyani Siringoringo Memi Nor Hayati Rito Goejantoro, Rito