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All Journal JURNAL KARYA ILMIAH MULTIDISIPLIN
Lisnawita*, Lisnawita
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Humanities Decision Sciences, Operations Research & Management Education Engineering Other

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Implementasi Algoritma K-Means untuk Pengelompokan Anak Kurang Gizi di Puskesmas Cristina Panjaitan, Marince; Lisnawita*, Lisnawita
Jurnal Karya Ilmiah Multidisiplin (JURKIM) Vol. 5 No. 2 (2025): Jurnal Karya Ilmiah Multidisiplin (Jurkim)
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/jurkim.v5i2.27968

Abstract

Malnutrition in children remains a major challenge that affects their quality of life and development. Early identification and grouping of children at risk of malnutrition are crucial for effective intervention. This study aims to apply the K-Means algorithm to cluster the nutritional status of toddlers at Umban Sari Community Health Center, using variables such as height, weight, age, and gender. A total of 1,764 toddler data records were analyzed and grouped into two clusters: a cluster of well-nourished children and a cluster of malnourished children. The results show that 34.6% of children belong to the well-nourished cluster, while 65.4% are classified in the malnourished cluster. Validation using the Davies-Bouldin Index (DBI) yielded a value of 0.525, indicating a reasonably good separation between clusters. These findings provide a strong foundation for the Community Health Center to conduct more targeted interventions and improve the effectiveness of monitoring child nutrition status in the Umban Sari area
Co-Authors Cristina Panjaitan, Marince