Sistem Absensi Otomatis Menggunakan Face Recognition dengan Simulasi Pintu Rumah Berbasis Servo Motor

Abstract

Attendance systems play a crucial role in human resource management. Conventional fingerprint-based systems often face obstacles such as reading failures and hygiene issues due to physical contact. This research designs and builds a hybrid attendance system that integrates Face Recognition and RFID technology as a more efficient, accurate, and contactless solution. The system's architecture is designed with an Internet of Things (IoT) approach, using the MQTT protocol for real-time communication between a Python-based face processing terminal and hardware components (ESP8266, Servo Motor, Sensor). To enhance security, the system is equipped with a liveness detection mechanism to prevent spoofing using photos. All attendance data is stored and managed through a cloud backend on Firebase and is visualized through a web-based admin dashboard that features monitoring, data filtering, and report exporting.
Test results show that the face recognition accuracy reached 95% in optimal lighting conditions with responsive device communication. This system offers a modern attendance solution that is not only reliable and secure but also fully integrated from the hardware to the user interface.