Implementation of EDC Devices for Employee Field Activity Attendance Based on IoT Using ID Cards
DOI:
https://doi.org/10.33795/jartel.v16i2.9591Keywords:
attendance system, EDC device, ID Cards, Internet of Things (IoT), QR CodeAbstract
This study presents the development and evaluation of an IoT-based attendance system using Electronic Data
Capture (EDC) devices and QR-coded ID cards, aimed at improving attendance monitoring in decentralized field-based
work environments. The system was designed with a thin-client architecture in which the EDC device, specifically the
Advan Harvard model, functions solely as a data collector. It scans static QR Codes embedded in ID cards and transmits
identity and timestamp data via Wi-Fi to a centralized server. The backend system, built using Visual Studio and MySQL,
automatically validates the scanned data, stores it in the database, and sends real-time notifications through the Telegram
Bot API. The entire process—from QR generation and scanning to data recording and notification—operates without
manual intervention after initial setup. Test results show a 98% QR scan success rate under varying lighting and angle
conditions, with data transmission occurring in under one second and notifications delivered within 1–3 seconds. The
system proved stable across different network environments and supports secure data handling through encryption and
restricted access. Compared to conventional manual methods, this approach enhances efficiency, minimizes manipulation
risks, and enables real-time remote supervision. These findings confirm the feasibility of lightweight IoT-based attendance
systems for use in flexible and infrastructure-limited settings.
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