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Submitted
January 19, 2025
Accepted
May 21, 2025
Published
April 26, 2025
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Abstract

According to the Ministry of Health of the Republic of Indonesia, key environmental health indicators include access to safe drinking water, adequate sanitation, and healthy living environments. As of 2023, only 10.21% of Indonesian households had access to safe sanitation, far from the government’s 2045 target of 70%. Indonesia’s ranking at 164th out of 180 countries in the 2022 environment performance index (EPI), with a score of 28.20 out of 100, further underscores the need for targeted interventions. This study aims to classify Indonesian provinces based on environmental health indicators, thereby supporting more effective policy prioritization. The k-medoids clustering algorithm was employed due to its robustness to outliers and flexibility in handling mixed data types, making it well-suited for this context. This study utilized data from 34 provinces in 2023, sourced from the Ministry of Health. These provinces were grouped into two clusters, with cluster 2 representing provinces with stronger environmental health performance. The clustering results were validated using the silhouette coefficient, confirming the quality of the groupings. Provinces in cluster 1 require greater policy attention to improve environmental health conditions. This study demonstrates the potential of robust medoids-based clustering for guiding targeted environmental health strategies in developing countries.

Keywords

SDG Environmental Health Silhouette Method Elbow Method K-Medoids Clustering

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Author Biography

Safwah Ayu Mardiyyah, Universitas Islam Indonesia

Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Indonesia

How to Cite
Agustin, W. S., Mardiyyah, S. A. ., Zahra , Q. S. A. ., Anggreany, A. N. ., & Widodo, E. . (2025). Clustering of Provinces in Indonesia Based on Environmental Health Indicators Using K-Medoids . Enthusiastic : International Journal of Applied Statistics and Data Science, 5(1), 88–100. https://doi.org/10.20885/enthusiastic.vol5.iss1.art9
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