Franklin M. Ganancias
ABSTRACT
This study reports on the development and evaluation of a microcontroller-based early warning system aimed at strengthening flood and landslide monitoring in vulnerable communities. Addressing operational gaps in current disaster preparedness practices, the research adopted a descriptive-evaluative design to examine the protocols, challenges, and technical capacities of Provincial Disaster Risk Reduction and Management Councils (PDRRMCs). The system integrates environmental sensors to monitor water levels, soil moisture, temperature, and ground displacement, and features automated SMS alerts alongside a web–mobile dashboard for real-time data access and visualization. Quantitative data were gathered through structured surveys, while qualitative insights were drawn from participant feedback and IT expert assessments. Findings indicated strong institutional engagement in preparedness activities, such as simulation drills and early warning dissemination. Nonetheless, persistent challenges were noted, including limited equipment availability, inadequate training, and incomplete geographic coverage. To address these gaps, the system was assessed using the ISO 25010:2011 software quality model. Results showed high compliance across eight quality attributes, particularly in functional suitability, reliability, and maintainability. Expert and user evaluations affirmed its usability and practical value, recommending wider deployment and the integration of additional sensor technologies. Overall, the system shows strong potential as a scalable, user-centered tool for enhancing early warning capabilities and disaster resilience in high-risk areas.
Keywords: Early warning system, disaster risk reduction, flood and landslide monitoring, microcontroller, ISO 25010, real-time sensing, resilience technology
https://doi.org/10.57180/jmhd8825