Work place: Research Center for Data and Information Sciences, National Research and Innovation Agency, Bandung, Indonesia
E-mail: wiwi005@brin.go.id
Website: https://orcid.org/0000-0003-0155-6329
Research Interests:
Biography
Wiwin Suwarningsih graduated from her bachelor’s degree at informatics program, Kebangsaan University of the Republic of Indonesia Bandung in 1996. She got her master’s degree in 2000 at the informatics study program and doctoral degree in 2017 at the School of Electrical and Informatics Engineering, Bandung Institute of Technology. Currently, she works at the Research Center for Data and Information Sciences, National Agency of Research and Innovation (BRIN, Indonesia). Her research interests are artificial intelligence, computational linguistics, Indonesian natural language processing and text mining, information retrieval and question answering systems. Since 2017, she has a project about the Indonesian medical information retrieval using deep learning to support of high-quality medical information.
By Wiwin Suwarningsih Nuryani Endang Suryawati
DOI: https://doi.org/10.5815/ijmecs.2026.04.11, Pub. Date: 8 Aug. 2026
This study examines the integration of Question Answering (QA) technology into e-health education using scaffold method to address stunting prevention and understanding of early childhood nutrition in Indonesia. The research developed a computer-supported learning platform that combines adaptive QA systems with structured scaffolding techniques to support maternal knowledge development and informed nutrition practices. Data was collected from Indonesian stunting education programs and nutrition improvement initiatives targeting children under five years old. The platform implemented progressive learning modules that provided real-time responses to user queries while offering contextual support through scaffolded feedback mechanisms. Knowledge improvement was evaluated using a pre-test and post-test design administered before and after system interaction, with a follow-up assessment conducted four weeks later to measure retention. Results demonstrated improvements in knowledge retention scores (mean increase of 42%) and understanding of nutrition guidelines among participating mothers. The QA system helped clarify common misconceptions about complementary feeding practices while maintaining engagement through personalized learning paths. These findings indicate that scaffolded QA technology has potential as a supportive tool for e-health education in resource-limited settings, although broader implementation and long-term impact require further investigation.
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