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All Journal Indonesian Journal of Applied Technology and Innovation Science
Anjani, Sophia
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Comparison of Machine Learning Algorithm Performance for Toddler Stunting Prediction Anjani, Sophia; Nadirah, Nadirah; Iskandar, Nur Qistina Binti Mohamad; Zinky, Mujahid; Atmanagara, Ramzy Hammad; Syahbani, Rayhan; Marzuq, Muhammad; Fitri, Muhammad Anis; Khalis, Nur; Khairullah, Fajar Abiyyu; Alfarizy, Fawwaz Zanuar; Kalam, Ahmad Fahiq Zauqol; Aldi Setiawan
IJATIS: Indonesian Journal of Applied Technology and Innovation Science Vol. 3 No. 1 (2026): IJATIS February 2026
Publisher : Institut Riset dan Publikasi Indonesia (IRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/ijatis.v3i1.2503

Abstract

Stunting is a chronic nutritional issue in toddlers that has long-term effects on children's physical growth and cognitive development. This study aims to compare the performance of four machine learning algorithms, namely Support Vector Machine (SVM), Random Forest (RF), Multilayer Perceptron (MLP), and Logistic Regression (LR), in classifying the nutritional status of toddlers. The research stages included data preprocessing, data division into training and test sets, model training, and evaluation using accuracy, precision, recall, F1-Score, a confusion matrix, and Area Under the Curve (AUC). The evaluation results showed that Random Forest achieved the best performance, with an accuracy of 94%, as well as precision, recall, and F1-score values above 90%, and an AUC value close to 1.00 across all nutritional status classes. This was followed by the MLP algorithm in second place, with an accuracy of 93.29%. The main contribution of this study is the identification of a high-performing, stable model for large-scale stunting detection, providing a strong foundation for developing decision-support systems for early detection in the public health sector.
Co-Authors Aldi Setiawan Alfarizy, Fawwaz Zanuar Atmanagara, Ramzy Hammad Fitri, Muhammad Anis Iskandar, Nur Qistina Binti Mohamad Kalam, Ahmad Fahiq Zauqol Khairullah, Fajar Abiyyu Khalis, Nur Marzuq, Muhammad Nadirah, Nadirah Syahbani, Rayhan Zinky, Mujahid