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All Journal JPT : JURNAL PROTEKSI TANAMAN (JOURNAL OF PLANT PROTECTION) Jurnal Ilmu dan Teknologi Kayu Tropis Menara Ilmu Building of Informatics, Technology and Science Sainstek : Jurnal Sains dan Teknologi Journal of Informatics Management and Information Technology Journal of Social Responsibility Projects by Higher Education Forum Jurnal Teknologi Komputer dan Informasi
Desyanti Desyanti
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Social Sciences Other

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Journal : Building of Informatics, Technology and Science

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Implementasi Metode K-Means Clustering dalam Mengukur Tingkat Gizi Balita Berdasarkan Z-Score Desyanti, Desyanti; Desriyati, Welly; Mesran, Mesran
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6177

Abstract

Toddler health is very important as the basis for child development. Every child must receive good nutrition so that their development stages are not disrupted. This study aims to analyze the nutritional status of toddlers at Posyandu Currently, Posyandu Parents are given a Healthy Way Card (KMS) where the card only contains the child's age and weight. The data used includes the age, weight and body length of 20 toddlers. The analysis process involves determining the Z-Score for each parameter to group the data into three main clusters, namely overnutrition, obesity and risk of overnutrition. The research results showed that of the 20 toddlers, 6 were in the obese category, 13 were over-nourished, and 1 toddler was at risk of over-nutrition. This information can be a basis for evaluation for parents and Posyandu in increasing appropriate nutritional intake for children.
Integrasi K-Modes dalam Analisis Data Gizi Balita untuk Model Klasifikasi Risiko Stunting Desyanti, Desyanti; Renaldi, Reno; Mesran, Mesran
Building of Informatics, Technology and Science (BITS) Vol 7 No 2 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i2.8323

Abstract

The nutritional status of toddlers is an important indicator in assessing child growth and development and is closely related to the risk of stunting. However, the process of recording and classifying nutritional status at the Bukit Kapur Community Health Center is still done manually, making it prone to analysis delays and data processing errors. This study aims to implement the K-Modes algorithm in classifying toddler nutritional status based on categorical data, such as age, weight, and height. Toddler data were collected from the Bukit Kapur Community Health Center and underwent pre-processing, data transformation, and the application of the K-Modes algorithm to determine toddler nutritional groups. The results showed that the K-Modes algorithm was able to group toddler data into three main categories: well-nourished, at-risk of overnutrition, and overnourished. The majority of toddlers fell into the well-nourished category (98 toddlers), while only a small proportion fell into the at-risk of overnutrition and overnourished categories (1 toddler each). These findings indicate that the K-Modes method is effective in classifying toddler nutritional status based on categorical data and can assist health workers in monitoring child growth and preventing stunting.
Co-Authors Erlin Windia Ambarsari Fauzan Fauzan Laksono Trisnantoro Mesran, Mesran Novi Andra renaldi, reno Rini Yuliani Rosi Fitri Ramadani Sari, Febrina Suarlin, John Sulaeman Yusuf Tri Handayani Utama, Dian Welly Desriyati Yulia Saputri Yusrizal Yusrizal Yusuf Sudo Hadi Zulhilda Yenti Zulmardi Zulmardi Zulyusri Zulyusri