Abstract

The Senior High School Department of Holy Family Academy in Angeles City conducted a study to develop a GSM-based water level sensor alarm system that can provide early warnings during flood events. This study examines the implementation of SMS in using water level sensor alarms in monitoring rising water levels and detecting floods during rainstorms. The study focuses on the accuracy of water level sensor alarms in reading and interpreting data from sensors to GSM modules for flood detection. Results demonstrate the effectiveness of water level alerts in monitoring water level rise during floods and the potential of using SMS alerts as an early warning system. The researchers developed and tested a water level warning system with text messaging capabilities, providing insights into its performance, response, and reliability during floods. Inferential statistics, such as t-tests, were used for comprehensive data analysis. Moreover, the study revealed that the system's response time and threshold levels can vary based on environmental factors and specific use cases. Despite these variations, water level sensor alarms were highly efficient in providing early flood warnings. Through this project, the researchers aim to enhance community resilience to flooding events and improve disaster preparedness measures. The study can serve as a reference for future researchers interested in developing similar water level sensor alarm systems.