Clustering Data Diabetes Menggunakan Algoritma K-Means
DOI:
https://doi.org/10.71282/jurmie.v3i1.1613Keywords:
Algoritma, K-Means, DiabetesAbstract
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.
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Copyright (c) 2026 Kresna Bayu Prasetyo, Dewi Oktafiani (Author)
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