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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA
Hilda Permatasari
Universitas Dinamika Bangsa, Jambi
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Penerapan K-Means Untuk Clustering Kondisi Gizi Balita Pada Posyandu Candra Adi Rahmat; Hilda Permatasari; Errissya Rasywir; Yovi Pratama
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 1 (2023): Januari 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i1.5142

Abstract

Malnutrition in children is a major public health problem in developing countries, including Indonesia. National data show that 36.8% of children under five years of age (toddlers) are stunted (short and very short, measured by height for age). To be able to know the nutritional condition of the toddler, can use analysis and a calculation method. In this study, the authors utilize an analysis and calculation of data, namely data mining. One of the techniques in data mining is clustering. K-Means Clustering is one of the algorithms in the Clustering technique in data mining. In this study the authors used as many as 20 data on toddlers. From the 20 data on toddlers, the authors determined the cluster center randomly as much as 3 data and resulted that, 4 toddlers were malnourished, 7 toddlers were well nourished, and 9 toddlers were obese.
Co-Authors Candra Adi Rahmat Errissya Rasywir Yovi Pratama