Abstract: This research aimed to: 1) study information needs regarding local foods and information systems for the elderly, 2) develop a local food information system for the elderly, and 3) evaluate system effectiveness. The quantitative study included 235 senior caregivers selected via purposive sampling. The research tools were an interview form (IOC = 0.98) and a questionnaire (Cronbach's alpha = 0.953). The results indicated that there were three key information needs: 1) Comprehensive and reliable content that includes dietary data, food types, and disease categorization, daily meal search features, disease-specific recommendations, and presentation with large-font images and succinct language. The system was developed on the LINE Official Account platform and is based on a web application. 2) User evaluation from 235 participants showed strong agreement with overall system efficiency. Usefulness received the highest rating, followed by LINE OA usability and efficiency. A gender comparison showed that there were statistically significant differences (p < .01) between females and males in terms of content and efficiency. 3) Linear regression analysis identified efficiency as the primary factor influencing usefulness, followed by system usability and functionality. A one-way ANOVA showed that users accessing LINE once per week had significantly higher usefulness scores than those using it every 2 to 3 days (p < .05).

Renuka Khunchamnan and Kewalin Angkananon. “Development and Evaluation of a Mobile-Based Local Food Information System for Elderly Nutrition Support”. International Journal of Advanced Computer Science and Applications (IJACSA) 16.12 (2025). http://dx.doi.org/10.14569/IJACSA.2025.0161221

@article{Khunchamnan2025,
title = {Development and Evaluation of a Mobile-Based Local Food Information System for Elderly Nutrition Support},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0161221},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0161221},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {12},
author = {Renuka Khunchamnan and Kewalin Angkananon}
}