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All Journal Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)
Septian, Muhammad Ardhi
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Computer Science & IT Decision Sciences, Operations Research & Management

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Sistem Identifikasi Faktor Risiko Stunting Pada Balita dengan Decision Tree Berbasis Web (Kasus Desa Margaluyu) Insany, Gina Purnama; Kamdan, K; Septian, Muhammad Ardhi
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 2 (2025): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i2.915

Abstract

Stunting is a chronic health issue caused by prolonged nutritional deficiencies, influenced by various risk factors such as economic conditions, sanitation, education, and diet. Margaluyu Village reported a stunting rate of 24.5% in 2023. This study proposes a web-based system that utilizes the Decision Tree algorithm to classify stunting risk among toddlers using attributes like age, weight, height, maternal nutrition status, and environmental sanitation. The model achieved 91.2% accuracy and was implemented using the Laravel framework. The resulting system enables faster and more accurate identification of at-risk toddlers by health workers.
Co-Authors Insany, Gina Purnama Kamdan