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All Journal Indonesian Journal of Artificial Intelligence and Data Mining
Nur Rahmi
Universitas Papua
Computer Science & IT

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Analysis of Students’ Perceptions of the Free Nutritious Food Program (MBG) Based on K-Means Clustering Nur Rahmi; Lorna Yertas Baisa; Andreas Leonardo Sumendap
Indonesian Journal of Artificial Intelligence and Data Mining Vol. 9 No. 1 (2026): March 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

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Abstract

The Free Nutritious Food Program is a strategic policy to support students’ nutritional resilience and readiness to learn. This study examined students’ perceptions of the program and identified respondent profiles using the K-Means clustering algorithm. Data from 501 students were collected through a Likert-scale questionnaire and analyzed to determine distinct perception patterns. The results revealed five clusters with strong validity, indicated by a silhouette value of 0.917. Overall, 74.6% of respondents expressed positive perceptions, suggesting that the program has been well received and supports school nutrition. However, some groups reported concerns regarding menu variety and cleanliness at distribution points. These findings underscore the need for routine quality monitoring, standardized implementation procedures, and greater attention to service consistency. Future studies should also include objective indicators such as body mass index and school attendance to provide a more comprehensive evaluation of program impact
Co-Authors Andreas Leonardo Sumendap Lorna Yertas Baisa