Analisis Sistem Absensi Kehadiran di Ruang Praktikum Menggunakan Sensor Sidik Jari yang Terintegrasi Dengan Aplikasi Android dan Sistem Database

Abstract

Student attendance recording in the laboratory is a crucial component in education that often faces challenges such as data manipulation and time-consuming processes. This research aims to design and implement an automatic attendance system based on fingerprint sensors integrated with an Android application and a database. The system is designed using the ESP32 as the microcontroller, Raspberry PI as the host machine to run Docker, and the R307 fingerprint sensor for identification. Attendance data captured by the fingerprint sensor will be sent to the server running on the Raspberry PI via the ESP32. This server, hosted in a Docker container, will store the attendance data in a MariaDB or MySQL database, enabling real-time access and monitoring through an Android application. By leveraging fingerprint sensor technology, this system can enhance the accuracy and efficiency of attendance recording while reducing data manipulation. The testing results indicate that the system is capable of handling data traffic and transactions between devices, Android applications, and the server with an average latency of 0.071 seconds during service initialization, 0.335 seconds for API access from clients, and 0.541 seconds for web-based access, with a total system deployment time of approximately 60.6 seconds. In addition, interviews with students and lecturers show a 100% satisfaction rate, indicating that the system is considered more effective and efficient than conventional manual attendance methods.