Malaria Disease Clustering Analysis Using the K-Means Method in Indonesia

  • Suastika Yulia Riska Institut Teknologi dan Bisnis Asia

Abstract

Malaria is a dangerous and potentially deadly disease in Indonesia. The spread and transmission of malaria occurs very rapidly. The aim of this study was to identify clusters within the state based on the intensity of malaria cases. In this study, K-means was applied to the clustering process using the values ​​of K=2, K=3, and K=5. This means that the Davis-Boldan index value for K=2 is 0.033, the Davis-Boldan index value for K=3 is 0.034, and the Davis-Boldan index value for K=5 is 0.262. The research results show that using K-Means with K=2 yields the best cluster with the lowest Davies-Bouldin index value (0.033). This will help the government plan more effective preventive measures in different provinces of Indonesia in the coming years. Therefore, this study makes an important contribution to malaria control efforts to reduce malaria incidence and public health impact in Indonesia.

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References

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Published
2024-03-17
How to Cite
RISKA, Suastika Yulia. Malaria Disease Clustering Analysis Using the K-Means Method in Indonesia. Jurnal Ilmiah Teknologi Informasi Asia, [S.l.], v. 18, n. 1, p. 60-70, mar. 2024. ISSN 2580-8397. Available at: <https://jurnal.stmikasia.ac.id/index.php/jitika/article/view/991>. Date accessed: 14 june 2024. doi: https://doi.org/10.32815/jitika.v18i1.991.