Analysis of District Clustering in East Priangan, West Java, Based on Health Education and Infrastructure Using the K-Means Method

Yuga Mudzadid Fiqri; Atika Nurani Ambrawati

doi:10.55681/sentri.v5i8.7040

Authors

Yuga Mudzadid Fiqri Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang
Atika Nurani Ambrawati Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang

DOI:

https://doi.org/10.55681/sentri.v5i8.7040

Keywords:

K-Means Clustering; Sub-district Clustering; East Priangan

Abstract

Development disparities between regions remain an issue that affects the equitable distribution of educational, health and infrastructure facilities. Differences in the availability of these facilities lead to variations in service levels and development across sub-districts. This study aims to cluster sub-districts in the East Priangan region of West Java based on educational, health and infrastructure characteristics using the K-Means Clustering method. The data used are from 2024, obtained from the Central Statistics Agency (BPS) of districts/cities in the East Priangan region, comprising 13 research variables and 132 sub-districts as the objects of analysis. Prior to the clustering process, the data was tested using the Kaiser-Meyer-Olkin (KMO) and multicollinearity tests. The test results showed a KMO value of 0.846, indicating that the data was suitable for further analysis and that no multicollinearity issues were found. Determining the optimal number of clusters using the Elbow method yielded two clusters as the optimal number. The clustering results showed that Cluster 1 comprised 30 sub-districts with relatively higher facility availability, whilst Cluster 2 comprised 102 sub-districts with relatively lower facility availability. The distance between cluster centres of 202.258 indicated a fairly clear difference in characteristics between the two clusters. It is hoped that the results of this study can serve as a basis for the formulation of more effective and targeted development policies.

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