Implementation of geolocator for location manipulation detection in GPS-based attendance application at watumas clinic
Keywords:
Geolocation-based Attendance, Fake GPS Detection, Real-time Location Validation, Mobile Attendance Application, Location Manipulation DetectionAbstract
Geolocation-based attendance applications are widely used to enhance accuracy and efficiency in attendance management. However, Fake GPS applications pose challenges to data authenticity. This study developed a mobile attendance application using Geolocator to detect and prevent real-time location manipulation. By utilizing GPS, Wi-Fi, and accelerometer sensors, the system ensures accurate user location. The application was built using the Waterfall model, covering requirements analysis, system design, implementation, testing, and maintenance. Three testing methods were employed: Blackbox Testing for functionality verification, Whitebox Testing to assess the accuracy of the location detection algorithm and sensor integration, and User Acceptance Testing (UAT) to evaluate ease of use and effectiveness. Results show that the application accurately detects location manipulation, produces valid attendance data, and is well-received by users, with satisfaction rates of 90% for ease of use, 85% for response speed, 88% for detection accuracy, and 80% for the effectiveness of Fake GPS detection. This research contributes significantly to the development of safer and more efficient attendance systems, particularly in the Watumas Clinic.
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