Clustering of Provincial Health Vulnerability Levels in Indonesia Using the K-Means Method

Okma Arnilia; Sahrial Ihsani Ishak; Tri Widodo; I Gusti Nyoman Agung Bisma Tatwa

doi:10.33365/jatika.v7i1.1469

Okma Arnilia Universitas Islam Negeri Siber Syekh Nurjati Cirebon https://orcid.org/0009-0000-1866-5711
Sahrial Ihsani Ishak Universitas Dian Nusantara https://orcid.org/0000-0002-7314-9610
Tri Widodo Universitas Teknokrat Indonesia https://orcid.org/0000-0002-3418-1116
I Gusti Nyoman Agung Bisma Tatwa Institut Pertanian Bogor https://orcid.org/0009-0006-6156-0011

DOI: https://doi.org/10.33365/jatika.v7i1.1469

Keywords: Health Vulnerability, Clustering, K-Means, Health Indicators, Indonesia

Abstract

This study aims to classify the health vulnerability levels of 38 provinces in Indonesia based on health and socio-economic indicators in 2024, including the number of hospitals, access to adequate sanitation, access to safe drinking water, stunting prevalence, number of health facilities, population size, and the percentage of poor population. The analysis began with data normalization using the z-score method to standardize variable scales and prevent dominance by indicators with larger value ranges. Following normalization, the optimal number of clusters was determined using the Elbow method by examining the decrease in inertia across different k-values. Based on the inertia pattern and cluster stability, the optimal number of clusters was identified as K=4, which adequately represents the variation in health vulnerability. The clustering results were subsequently visualized in a spatial map using Indonesia’s provincial administrative boundaries. The visualization revealed clear geographical variation across regions, with Cluster 1 representing provinces with very good health conditions, Cluster 2 good conditions, Cluster 3 moderate conditions, and Cluster 4 provinces requiring special attention regarding health indicators. These findings provide a comprehensive overview of health vulnerability distribution in Indonesia and are expected to inform policymakers and stakeholders in prioritizing region-based health interventions, strengthening health development strategies, and promoting more equitable national health services.

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Author Biographies

Okma Arnilia, Universitas Islam Negeri Siber Syekh Nurjati Cirebon

Program Studi Informatika

Sahrial Ihsani Ishak, Universitas Dian Nusantara

Program Studi Teknik Informatika

Tri Widodo, Universitas Teknokrat Indonesia

Program Studi Teknik Komputer

I Gusti Nyoman Agung Bisma Tatwa, Institut Pertanian Bogor

Program Studi Ilmu Komputer

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