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All Journal Elkom: Jurnal Elektronika dan Komputer INFOKAM Jurnal Informatika dan Teknik Elektro Terapan Jurnal Sains dan Informatika Journal of Information Systems and Informatics JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Ilmiah Intech : Information Technology Journal of UMUS Jurnal Digit : Digital of Information Technology Malcom: Indonesian Journal of Machine Learning and Computer Science Journal of Education Technology Information Social Sciences and Health JAMU : Jurnal Abdi Masyarakat UMUS Innovative: Journal Of Social Science Research Jurnal Teknik Indonesia Jurnal Multidisiplin Teknologi dan Arsitektur Journal of Citizen Research and Development
Otong Saeful Bachri
Program Studi Teknik Informatika, Fakultas Teknik, Universitas Muhadi Setiabudi, Brebes, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Transportation Other

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Journal : Journal of Information Systems and Informatics

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Global Research Trends and Map on Machine Learning Applications in Stunting Detection in Vulnerable Populations: A Bibliometric Analysis Bachri, Otong Saeful; Widodo, Catur Edi; Nurhayati, Oky Dwi
Journal of Information System and Informatics Vol 7 No 3 (2025): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i3.1248

Abstract

Stunting and malnutrition continue to be significant public health challenges, particularly in low-income and rural populations. With the growing reliance on data-driven strategies in public health, machine learning (ML) has emerged as a promising tool for identifying, classifying, and predicting conditions related to undernutrition. This study presents a bibliometric analysis of global research from 2019 to 2025, focusing on the application of ML techniques—such as clustering, support vector machines (SVM), and random forest—in addressing malnutrition and stunting. A total of 417 Scopus-indexed publications were analyzed using Biblioshiny (R) to assess research trends, key themes, influential authors, prominent journals, and thematic evolution. The analysis reveals a consistent growth rate of 10.72% in publications, with notable contributions from China and other low- and middle-income countries. Keyword mapping highlights that “machine learning,” “spatial analysis,” and “stunting” are central to the research, although they remain areas for further development. Thematic evolution indicates a shift towards more integrated, context-aware approaches, with a growing focus on built environments and vulnerable populations. The study concludes that while ML holds significant promise for advancing decision-making in child health and nutrition, its impact will depend on continued methodological refinement and effective implementation within public health systems.
Co-Authors Abdi R, Aulia Agung Permana, Tegar Agyztia Premana Ahmad Najmi Fuadi Andi Yulianto Anin, Anindia Anindia Ardiani Apriliani, Rosema Dina Ariestanto Ramdhan, Nur Badruzzaman, Ni'am Bagus W, Teguh Bambang Irawan /E21207042 Bhakti, Herdian Bhakti, R M Herdian Budiasih, Kristanti Catur Edi Widodo Dumadi Dumadi Elis Afriyani Fery Sofian Efendi Fitro, Achmad Gagas Prasetya Gian Fitralisma Harliana Harliana Harliana Harliana Herdian Bhakti, RM Irmansyah, Teguh Bagus Wicaksono Iza Azkiah Khalid Iskandar Khalid Iskandar Muhami, Rizal Muhammad Bagus Irwana Aji Muhammad Lutfi Jamaludina Mukson Mukson Nur Ariesanto Ramdhan Nur Ariesanto Ramdhan Nurfikri, Muhammad Ihsan Oky Dwi Nurhayati Pandhu Wijaya, Akhmad Pratama Putra, Rizki Premana, Agyztia R.M Herdian Bhakti R.M. Herdian Bhakti Raden Mohamad Herdian Bhakti Raden Mohamad Herdian Bhakti Raden Mohamad Herdian Bhakti Ramdhan, Nur Ariesanto Rifqoh Febriyanti Putri Riono, Slamet Bambang Rizky Esa Riyanto Roby Setiadi Roby Setiadi Rohman, Aulia Abdi Rudianto Rudianto Shahib, M Umar Sri Yulianti Susilo, Bayu Tegar Agung Permana Teuku Rizal Adi Pangestu Tri S, Wananda Wahyuningsih, Puji Yenny Ernitawati Yuhano Yuhano