IMPLEMENTASI MODEL PRESENSI PENDETEKSI WAJAH DAN QUICK RESPONSE CODE (QR CODE) BERBASIS CLOUD

Abstract

Conventional paper-based or manual attendance systems often lead to problems such as attendance forgery, recording errors, and slow data recapitulation. This study aims to design and implement an automated student attendance system model based on the Internet of Things (IoT) and Cloud Computing by combining QR Code identification and biometric face verification. The system utilizes an ESP32-S3 microcontroller as the main controller, a GM65 module for reading digital student ID QR Codes, an OV5640 camera for face verification, an ILI9341 TFT LCD screen as a visual interface, and a DFPlayer Mini module with a mini speaker for local audio notifications. Testing was conducted using two authentication stages: QR Code scanning as initial identification followed by student face matching. The test results show that the system achieved a 93.33% success rate for QR Code reading and a 96.66% success rate for face verification. Attendance records were successfully transmitted and stored in real-time to a cloud database and monitored live via a website. This attendance model effectively enhances security, efficiency, and transparency in managing student attendance.