Implementation Anti-Fraud Security on Smart Campus Attendance System Using Face Recognition Liveness Detection and Anti-Fake GPS Geofencing

Abstrak

In the digital era, the fingerprint-based attendance system used by University of Bumigora where considered ineffective and inefficient due to hygiene issues, physical vulnerability, the risk of for-gery, and slow processing speed during peak hours. In addition, as the digital attendance system develops, new challenges arise in the form of biometric data manipulation through presentation attacks (photos/videos/masks) and location manipulation using fake GPS applications. This dual vulnerability is a critical issue that can damage data integrity and the governance of educational institutions. To address these issues, this study proposes the design and development of a Smart Campus attendance system that integrates two anti-fraud security mechanisms, namely Face Recognition liveness  detection and Anti-Fake GPS Geofencing. Liveness Detection technology functions to detect real-life signs to distinguish real faces from fake representations, while An-ti-Fake GPS validates the signal consistency and physicality of users within a predetermined campus geographic radius (geofence). This system was developed using Agile methods to ensure adaptive and structured development. From a technological perspective, this system integrates the Vue JS framework in the user interface (UI) due to its robust performance, and the Laravel frame-work in the backend due to its advantages in Model-View-Controller (MVC) architecture, security, and high scalability. Through this approach, the study aims to evaluate the effectiveness of a lay-ered anti-fraud mechanism in preventing fraud and measure improvements in administrative effi-ciency compared to conventional fingerprint systems.