Implementasi dan Evaluasi Sistem Absensi RFID-IoT Berbasis Cloud Menggunakan Firebase Realtime Database: Uji Ketahanan pada Berbagai Kondisi Jaringan

Abstract

Manual attendance recording in educational environments still faces various problems, such as low time efficiency, high potential for recording errors, and the potential for fraud in the attendance process. Although several attendance systems based on Radio Frequency Identification (RFID) and Internet of Things (IoT) have been previously developed to address these problems, most still use local data storage and therefore do not support real-time attendance monitoring. This study aims to develop and evaluate an RFID and IoT-based smart attendance system integrated with real-time cloud storage to improve recording efficiency and ease of attendance data monitoring. The proposed system uses a Wemos D1 Mini microcontroller as the main controller, an RC522 module as the user identification medium, and Firebase Realtime Database as cloud-based attendance data storage. Functional testing was conducted 30 times using registered and unregistered RFID cards to evaluate identification accuracy, and 30 times for each network condition (stable, unstable, weak) using NetLimiter and Clumsy software to simulate network conditions, measure response time, and assess data recording reliability to the database. The test results showed 100% identification accuracy and 100% success rate of data recording to the cloud across all network conditions, with average latencies of 1.05 seconds (stable), 1.06 seconds (unstable), and 1.50 seconds (weak). This study contributes evidence that real-time cloud-based attendance systems are feasible for adoption in educational environments with varying network quality, noting that latency increases by approximately 43% under weak network conditions.