Work

Penerapan K-modes Dalam Klasterisasi Kabupaten/kota Di Jawa Barat Berdasarkan Indikator Infrastruktur

Year: 2024

Type: article

Abstract: Clustering is a statistical method used to group data based on certain similar characteristics, particularly in the context of complex and diverse data. This study aims to cluster districts/cities in West Java Province based on infrastructure indicators, namely access to clean water, sanitation, electricity, and energy, using the K-Modes clustering method. The data used is categorical data sourced from SUSENAS West Java 2023. The cluster analysis resulted in four distinct clusters, each representing significant differences in infrastructure characteristics across regions. The first cluster consists of 8 regions, the second cluster includes 7 regions, the third cluster consists of 1 region, and the fourth cluster contains 11 regions. These characteristic differences among clusters indicate infrastructure disparities that need to be addressed in planning more equitable development to improve the quality of life of people in West Java

Source: Jurnal Lebesgue Jurnal Ilmiah Pendidikan Matematika Matematika dan Statistika

DOI: 10.46306/lb.v5i3.787

Authors: Abd. Rahman, Rahmi Anadra, Anwar Fitrianto, Erfiani Erfiani, L.M. Risman Dwi Jumansyah

Institution: IPB University

Language: English

Topic: Data Mining and Machine Learning Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $16