RANCANG BANGUN PURWARUPA SMART ATTENDANCE SYSTEM BERBASIS TEKNOLOGI INTERNET Of THINGS (IoT)

Abstract

Conventional attendance systems are still prone to data manipulation and recording errors, especially in educational environments. This study aims to design and develop a prototype of a Smart Attendance System based on the Internet of Things (IoT) that combines RFID identification and facial recognition technology, integrated with Telegram for real-time student attendance notifications. This research will adopt quantitative methods, which include literature studies and direct observation as data collection techniques. The collected data will be analyzed to draw conclusions. The system uses the WeMos D1 R32 ESP32 microcontroller as the control center, MFRC-522 RFID module for reading UID from various types of Smartcards, and ESP32-CAM for facial image capture. Attendance data—including name, student ID (NIM), timestamp, and face photo—is automatically sent to both Google Sheets and Telegram. Test results show the system can read Smartcards up to a distance of 3.5 cm with high accuracy and can successfully send attendance records in real time. LCD and buzzer are added for local feedback. This prototype demonstrates improved effectiveness, efficiency, and accuracy, offering a practical solution to enhance security and transparency in student attendance management.