Year: 2025
Type: article
Abstract: This study aimed to design and implement a web-based platform to improve the recovery, coordination, and equitable distribution of surplus food through local food banks in selected municipalities in Laguna, Philippines. The system was developed using a developmental-descriptive design. Data were gathered via surveys, interviews, and observations from food donors, food bank coordinators, and beneficiaries. Features such as geo-mapping, real-time inventory monitoring, and a Decision Support System (DSS) powered by the Multi-objective Bee Colony Algorithm were integrated to optimize food donation allocation. The platform was functional, user-friendly, and compatible across devices. Stakeholders appreciated its ability to track donations, manage beneficiaries, and reduce manual errors. System evaluation based on ISO 25010 standards and the Technology Acceptance Model (TAM) revealed positive feedback across perceived usefulness, ease of use, and behavioral intention to use. The system was piloted only in three municipalities and lacked integration with logistics or automated data entry, affecting scalability and real-time applicability. Future iterations should expand geographic coverage and include automation tools to enhance accuracy and efficiency.
Authors: Louie Jerome Roldan, Archieval Jain
Institution: Laguna State Polytechnic University
Language: English
Subfield: General Health Professions
Field: Health Professions
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4414201729
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