Clustering of Indonesian Provinces by Environmental Pollution in 2024 Using the K-Means Algorithm

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The K-Means algorithm successfully identified two clusters based on environmental pollution data.
Cluster 1 had 32 members with lower environmental pollution, while Cluster 2 had 6 members with higher levels.
A Silhouette Coefficient of 0.68 indicates a fair level of separation between the identified clusters.
These findings can help the government better address environmental pollution issues in Indonesia.

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This analysis demonstrates the K-Means algorithm's ability to cluster environmental pollution in Indonesia, indicating critical patterns.

Ardiyani et al. (2025) studied this question.

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