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Submitted
Dec 21, 2023
Accepted
Dec 30, 2023
Published
Dec 31, 2023
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Abstract

The Human Development Index (HDI), which takes into account three fundamental aspects of human existence, a long and healthy life, knowledge, and a reasonable level of living, is one tool used to assess the effectiveness of human progress. Clustering provinces based on the human development index is important so that development disparities can be identified and help identify provinces with high, medium or low levels of development. The purpose of this study was to use the k-medoids approach to perform a cluster analysis of HDI in Indonesia based on life expectancy, average years of schooling, expected years of schooling, and expenditure per capita adjusted for 2022. The analysis indicate that two clusters were created: cluster 1 had a high human development index, while cluster 2 had a low human development index. More provinces belonged to cluster 1 than cluster 2 suggesting that human development index in Indonesia in 2022 was largely in the high category

Keywords

Clustering Human Development Human Development Index K-Medoids

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How to Cite
Erda, G., Usdika, R. K., Pitri, R., & Erda, Z. (2023). IMPLEMENTATION OF THE K-MEDOIDS METHOD IN CLUSTERING HUMAN DEVELOPMENT INDEXES IN INDONESIA. Parameter: Journal of Statistics, 3(2), 61-67. https://doi.org/10.22487/27765660.2023.v3.i2.16906

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