Food to Go: A Digital Campus Food Finder System
Authors
College of Information and Digital Sciences, Davao del Sur State College, Philippines (Philippines)
College of Information and Digital Sciences, Davao del Sur State College, Philippines (Philippines)
College of Information and Digital Sciences, Davao del Sur State College, Philippines (Philippines)
College of Information and Digital Sciences, Davao del Sur State College, Philippines (Philippines)
College of Information and Digital Sciences, Davao del Sur State College, Philippines (Philippines)
College of Information and Digital Sciences, Davao del Sur State College, Philippines (Philippines)
Article Information
DOI: 10.47772/IJRISS.2026.100600960
Subject Category: Information Technology
Volume/Issue: 10/6 | Page No: 13618-13628
Publication Timeline
Submitted: 2026-06-19
Accepted: 2026-06-24
Published: 2026-07-09
Abstract
The increasing number of food vendors within educational institutions has created challenges for students, faculty, and staff in locating food stalls, exploring menu options, and comparing prices efficiently. To address this issue, this study developed Food to Go: A Digital Campus Food Finder System, a web-based platform designed for the Davao del Sur State College (DSSC) Main Campus. The system aims to provide users with a centralized and accessible platform for searching food vendors, viewing menu offerings and prices, locating stalls, and accessing ratings and reviews to support informed food choices. The study employed the Rapid Application Development (RAD) methodology in designing, developing, and implementing the system, while the ISO/IEC 25010 Software Quality Model was used to evaluate its quality and performance. A total of 37 respondents, consisting of 30 students, 2 school staff members, and 5 food vendors, participated in the evaluation process. The findings revealed high levels of user acceptance across all quality characteristics, with mean scores of 4.69 for Functional Suitability, 4.45 for Performance Efficiency, 4.66 for Usability, 4.49 for Reliability, and 4.68 for Compatibility. The system achieved an overall mean score of 4.61, interpreted as Strongly Agree, indicating that respondents perceived it as effective, efficient, reliable, user-friendly, and compatible with their needs. These results demonstrate that the Food to Go system successfully met its intended objectives and has the potential to enhance the campus food-finding experience by improving accessibility to food-related information, promoting convenience, and supporting informed decision-making among members of the DSSC community. Furthermore, the system serves as a practical digital solution for improving campus food accessibility and user satisfaction.
Keywords
campus food finder; food directory; digital platform; web-based system; ISO/IEC 25010
Downloads
References
1. Al-Sabbah, H., Alhamad, H., Al-Haddad, L., & Al-Faris, N. (2024). The association between food preferences, eating habits, and obesity among university students. Frontiers in Public Health, 12, 1395338. https://doi.org/10.3389/fpubh.2024.1395338 [Google Scholar] [Crossref]
2. Algheshairy, R. M., Alharbi, S. M., Almutairi, M. M., et al. (2022). Influence of using food delivery applications on adult dietary habits and preferences. International Journal of Environmental Research and Public Health, 19(19), 12770. https://doi.org/10.3390/ijerph191912770 [Google Scholar] [Crossref]
3. Hoang, H., Nguyen, T., & Pham, L. (2023). Dataset of food delivery app users at a public university. Data in Brief, 47, 109110. https://doi.org/10.1016/j.dib.2023.109110 [Google Scholar] [Crossref]
4. Roy, R., Hebden, L., Kelly, B., & Deane, F. (2024). Assessing the healthfulness of university food environments: A systematic review of methods and tools. Nutrients, 16(10), 1426. https://doi.org/10.3390/nu16101426 [Google Scholar] [Crossref]
5. Saleh, R. N., Al-Sabbah, H., & Al-Hamdan, R. (2024). Adolescents’ use of online food delivery applications and perceptions of healthy food options and food safety. Frontiers in Nutrition, 11, 1385554. https://doi.org/10.3389/fnut.2024.1385554 [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Smart Iot Device for Weather And Health
- Merlarchive: A Web-Based Academic Hub for UDM With AI-Powered Natural Language Processing
- Enhanced Social Network Security System: Integrating Biometric Authentication for Improved User Verification and Privacy Protection
- Smart Budget Allocation in Public Policy: A Data-Driven Approach for Equitable Resource Distribution
- Decision Support System for Faculty Selection, Promotion, and Reclassification Using Predictive Analytics