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All Journal International Journal of Electrical and Computer Engineering Jurnal INKOM Jurnal Edukasi dan Penelitian Informatika (JEPIN) Scientific Journal of Informatics Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research Jurnal Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Pilar Nusa Mandiri MUST: Journal of Mathematics Education, Science and Technology Techno Nusa Mandiri : Journal of Computing and Information Technology Techne : Jurnal Ilmiah Elektroteknika Jurnal Pertanian Agros Jurnal Informatika Universitas Pamulang Indonesian Physical Review INTI Nusa Mandiri International Journal of Economics, Business and Accounting Research (IJEBAR) JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Jurnal Pengabdian kepada Masyarakat Nusantara Insyst : Journal of Intelligent System and Computation Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK)
Agus Subekti
Balai Pengkajian Teknologi Pertanian Kalimantan Barat Jalan Budi Utomo No. 45, Siantan Hulu, Kotak Pos 6150, Pontianak 78061, Kalimantan Barat, Indonesia
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A Comparative Methodological Study of Automated Machine Learning for Multiclass Stunting Prediction Using Anthropometric Data Joharini, Joharini; Subekti, Agus
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 2 (2026): Article Research April, 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i2.15886

Abstract

Stunting remains a major public health challenge among children under five years old and requires reliable early screening to support timely nutritional interventions, particularly in resource-limited healthcare settings. However, many existing stunting prediction studies rely on complex socio-economic variables and manually selected machine learning models, which limits reproducibility and practical deployment. This study proposes an automated machine learning (AutoML)–based framework for multiclass stunting prediction using routinely collected anthropometric data. The prediction task is formulated as a multiclass classification problem encompassing normal growth, stunted, severely stunted, and above-normal nutritional status. The proposed framework integrates standardized preprocessing, systematic model comparison, stratified 10-fold cross-validation, and controlled hyperparameter optimization, evaluated under SMOTE and non-SMOTE preprocessing scenarios. Experimental results demonstrate that reliable multiclass prediction can be achieved without socio-economic variables. Under SMOTE preprocessing, the optimized k-Nearest Neighbors model improves minority-class sensitivity, increasing accuracy from 0.9806 to 0.9820 with an MCC of 0.9688, while under non-SMOTE conditions, Random Forest achieves robust performance with an accuracy of 0.9985 and an MCC of 0.9975 without resampling. Confusion matrix, ROC, and learning curve analyses confirm strong discriminative capability and stable generalization for both models. Overall, the findings indicate that the proposed AutoML-based framework provides a practical, scalable, and reproducible solution for early multiclass stunting screening using anthropometric data alone.
Co-Authors A.A. Ketut Agung Cahyawan W Abdullah Umar, Abdullah Aditya, Dedy Yusuf Agung Tjahjo Nugroho Akhmad Syukron Andra, Muhammad Bagus Ari Setiawan Arumjeni Mitayani Aryono Adhi, Aryono BUDIYONO Cahyono, Bowo Eko Chaeriah Bin Ali Wael, Chaeriah Bin Dayat Kurniawan Devi Wulandari Diantika, Sri Edy Supriyanto Emy Setyaningsih Eni Heni Hermaliani, Eni Heni Faisal, Anas Fatah, Haerul Filda Angellia Heriyani, Novia Hidayat Teguh Wiyono Hiya Nalatissifa Indriyanti Indriyanti, Indriyanti Joharini, Joharini Kahar Muzakhar Khultsum, Umi Kirso, Kirso Kusmayadi, Kusmayadi Kusumah, Maulana S. Lukman, Arif M. Rangga Ramadhan Saelan Mardiana, Vita Awalia Mareanus Lase Marta Dinata, Mochamad Mardi MUHAMMAD HARIS Muhammad, Nawafil Nasrullah Armi Nita Merlina, Nita Nufus, Fina Sifaul Nurkahfi, Galih Nugraha Nursulistyono, Yuda Nurul Priyantari Prasetya, Dwi Sabda Budi Purwoko Adhi Rahmadya Trias Handayanto Rian Hidayat Satyawan, Arief Suryadi Setiawan, Boy Siti Helmyati Sugara, Bayu Suprihati Supriyadi Supriyadi Suryanto, Wiwit Suyoto Suyoto Wahyudi Wahyudi Winarsa, Rudju