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April 21, 20260 citationsOpen Access

Design and Development of Project Watch: Web-Based Analytics and Tracking for Catch and Harvest Monitoring Among Coastal Fisherfolks

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CDCHRISTIAN A. ELAURZA1*, ESTELA L. DIRAIN, DIT2

Key Points

  • The central aim is to create a technology-driven system for better monitoring of catch and harvest activities among coastal fisherfolk.
  • Developed a web-based platform for real-time monitoring and digital record management.
  • Utilized geospatial tracking for catch, effort, and location data collection.
  • Evaluated system quality using ISO 25010:2023 standards and the Technology Acceptance Model.
  • Overall system quality rated 4.76 (Very High Extent).
  • End-user acceptance rated 4.27 (Strongly Agree).
  • Project WATCH improves accuracy and supports data-driven fisheries governance.

Abstract

Coastal fisheries significantly contribute to local economies and food security in Philippine coastal communities, particularly in Aparri, Cagayan, where fishing remains a primary livelihood. However, monitoring of catch and harvest activities largely relies on manual recording methods, resulting in delayed, inconsistent, and unreliable data that hinder effective fisheries management and evidence-based decision-making. This study developed and evaluated Project WATCH: Web-based Analytics and Tracking for Catch and Harvest Monitoring, a technology-driven system designed to improve fisheries data collection and monitoring processes. Using a developmental research design, the study implemented a web-based platform capable of real-time monitoring, digital record management, and geospatial tracking of fishing activities. The system collected catch, effort, and location data to generate analytical outputs, including Catch Per Unit Effort (CPUE) and fishing hotspot mapping. System evaluation was conducted using ISO 25010:2023 software quality standards and the Technology Acceptance Model (TAM). IT experts assessed system quality attributes, while end users evaluated usability and acceptance through structured questionnaires analyzed using weighted mean. Results indicated an overall system quality mean of 4.76 (Very High Extent) and an end-user acceptance mean of 4.27 (Strongly Agree), demonstrating strong performance and high adoption readiness. Findings suggest that Project WATCH enhances monitoring accuracy, transparency, and data-driven fisheries governance, supporting sustainable resource management and coastal community resilience.

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Cite This Study

CHRISTIAN A. ELAURZA1*, ESTELA L. DIRAIN, DIT2 (2026) studied this question.

synapsesocial.com/papers/69e7143fcb99343efc98da41https://doi.org/10.5281/zenodo.19648062
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