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All Journal Jurnal Riset Multidisiplin Edukasi
Kresna Bayu Prasetyo
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Clustering Data Diabetes Menggunakan Algoritma K-Means Kresna Bayu Prasetyo; Dewi Oktafiani
Jurnal Riset Multidisiplin Edukasi Vol. 3 No. 1 (2026): Jurnal Riset Multidisiplin Edukasi (Januari 2026) In Press
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v3i1.1613

Abstract

Diabetes is one of the chronic diseases whose prevalence continues to increase globally, including in Indonesia. This study employed the K-Means Clustering method with k = 3 to group diabetes patients based on their risk factors. The analysis identified three main groups: young patients in good health, obese patients with high risk, and elderly patients with moderate risk. The findings indicate a strong correlation between glucose levels, body mass index (BMI), age, and the risk level of diabetes. Comparison with the outcome data shows that the group consisting of obese patients with high glucose levels has a greater likelihood of developing diabetes.
Co-Authors Oktafiani, Dewi