Mobile application for tracking flood disaster victim using geofence / Abdul Afiq Hairul Badarul Shah

• Main Author: Hairul Badarul Shah, Abdul Afiq
• Format: Student Project
• Language: English
• Published: Faculty of Computer and Mathematical Sciences 2017
• Subjects: Application program interfaces; Android; Interactive computer systems
• Online Access: https://ir.uitm.edu.my/id/eprint/21342/1/TD_ABDUL%20AFIQ%20HAIRUL%20BADARUL%20SHAH%20M%20CS%2017_5.pdf; https://ir.uitm.edu.my/id/eprint/21342/

Fire and Rescue Department Malaysia (FRDM) is one of the government agency that participate in managing the situation in flood disasters. Flood disasters are annually incident occurs in Malaysia during north east monsoon season. Due to flood disasters has negative impact on the economy and general society, Malaysia has lost billions of Ringgits annually and infrastructure. FRDM manage the situation by helping the victim who has trouble during flood disasters. However, FRDM still unable to achieve acceptable response time in flood disasters. The problem can be identified from how to extract information from victim and how to communicate between FRDM to victim or between FRDM member itself. Thus, this mobile application project help FDRM to receive victim information and display the current flood disasters report easily. The mobile application use Geofence technique to increase the victim conscience on their surrounding with the location that the victim has pinpoint for FRDM meetup. Therefore, the victim need to stay inside the fence until a help is coming. Information receives from the victim is important to locate the victim current location to promptly send help to them. The methodology used in this project is Rapid Application Development (RAD). This methodology ensure the project application can be built in faster than using other Software Development Lifecycle (SDLC). This application is evaluated using System Usability Scale (SUS) to show it usability. Result shown that the project application is usable by the user with overall score of 74.29%, which is above the average of SUS required score making the project application is a success. In the future, the application has push notification to notify the user on the information of current flood disasters.