RANCANG BANGUN SISTEM PRESENSI MAHASISWA BERBASIS FACE RECOGNITION DAN GPS DI UNIVERSITAS PERWIRA PURBALINGGA

Abstrak
Perkembangan teknologi informasi mendorong penerapan sistem presensi yang lebih efektif, akurat, dan aman. Di Universitas Perwira Purbalingga, proses presensi mahasiswa masih dilakukan secara manual sehingga kurang efisien dan berpotensi menimbulkan kecurangan. Penelitian ini bertujuan merancang dan membangun sistem presensi mahasiswa berbasis Face Recognition dan Global Positioning System (GPS) berbasis multiplatform. Metode yang digunakan adalah Rapid Application Development (RAD) dengan tahapan perencanaan kebutuhan, perancangan, pengembangan, dan implementasi. Sistem dikembangkan menggunakan Vue.js, Laravel, MySQL, dan Capacitor.js, serta menerapkan validasi lokasi melalui geofencing, verifikasi wajah menggunakan Face Recognition, dan liveness detection untuk meningkatkan keamanan proses presensi. Hasil penelitian menunjukkan bahwa sistem berhasil diimplementasikan dalam bentuk aplikasi Android untuk mahasiswa dan aplikasi web untuk admin serta dosen. Berdasarkan pengujian fungsional, seluruh fitur utama berjalan sesuai kebutuhan sistem. Integrasi Face Recognition, GPS, dan liveness detection mampu meningkatkan keamanan, akurasi, dan efisiensi proses presensi serta meminimalkan potensi kecurangan dibandingkan metode presensi manual.
Kata Kunci: sistem presensi, Face Recognition, GPS, geofencing, RAD.

Abstract
The advancement of information technology has encouraged the implementation of attendance systems that are more effective, accurate, and secure. At Universitas Perwira Purbalingga, student attendance is still recorded manually, making the process less efficient and prone to attendance fraud. This study aims to design and develop a multiplatform student attendance system based on Face Recognition and the Global Positioning System (GPS). The system was developed using the Rapid Application Development (RAD) method, which consists of the requirements planning, design, development, and implementation phases. The application was built using Vue.js, Laravel, MySQL, and Capacitor.js, and integrates geofencing-based location validation, facial verification using Face Recognition, and liveness detection to enhance the security of the attendance process. The results show that the system was successfully implemented as an Android application for students and a web application for administrators and lecturers. Functional testing demonstrated that all main features operated according to the system requirements. The integration of Face Recognition, GPS, and liveness detection improves the security, accuracy, and efficiency of the attendance process while minimizing the potential for attendance fraud compared to the conventional attendance method.
Keywords: attendance system, Face Recognition, GPS, geofencing, Rapid Application Development.