Predictive Data Modeling Approach on Municipal Disaster Risk Reduction Management Flood Control Decision Support Monitoring and Alarm System (Phase1)

Abstract

The worldwide effect of climate change makes an environmental impact on the human race. Devastating storms that cause heavy flooding to different countries become imminent and recorded a billion casualties around the globe. This problem captured international attention in the formulation of policies on the preparation, mitigation, responses on and recovery from disasters during calamities. This study focused on the development of a Municipal Disaster Risk Reduction Management Flood Control Decision Support Monitoring and Alarm System. Descriptive and developmental research designs applying the SDLC prototyping model, VB.net and Arduino programming were utilized. Identification of problems and challenges encountered by MDRRMC on flood monitoring and assessment on the extent of compliance to ISO 20510:2011 Software Quality Standards were evaluated by 10 IT experts using survey questionnaires, 11 Users and 187 resident/subscribers thru 5 point Likert Scale.  The research revealed that the participants’ general assessment of the system’s compliance to ISO 20510 Standards as Very Great Extent with respect to the usefulness, functionality and completeness of the system in support to the MDDRMC operations. The system performs real-time detection of water levels of creeks/rivers which provide sound alarm to the nearest affected residents and text message alerts to residents/subscribers. Moreover, the system also allows sending of additional alert messages to the subscribers prior to the expected typhoon landfall.