Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Sains dan Teknologi
Viktoria, Apriliani
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Library & Information Science Physics

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Aplikasi Deteksi Stunting Menggunakan Algoritma Decision Tree di Puskesmas Rangkasbitung Saputra, Meldi Anggara; Aulia, Anisa; Viktoria, Apriliani
Jurnal Ilmiah Sains dan Teknologi Vol. 9 No. 2 (2025): Jurnal Ilmiah Sains dan Teknologi
Publisher : Teknik Informatika Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5555/hh2pqn84

Abstract

Stunting is a condition where a child experiences delayed growth, resulting in a height that is shorter than the standard for children of the same age. It is mainly caused by chronic malnutrition over a long period, especially during the first 1,000 days of life—from pregnancy to two years old. Stunting not only affects physical development but also has long-term effects on cognitive ability, immune system, and future productivity. Children who are stunted often have learning difficulties and are more prone to chronic diseases as adults. Contributing factors include maternal malnutrition, infections during pregnancy, poor dietary intake, limited access to healthcare, and lack of environmental stimulation. early intervention is essential through regular monitoring of child growth, providing balanced nutrition, improving maternal health, and educating families about proper childcare. Comprehensive and sustained efforts are needed to ensure children grow and develop optimally, reducing the risk of stunting and its long-term impacts.
Co-Authors Aulia, Anisa Saputra, Meldi Anggara