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Journal : Arcitech: Journal of Computer Science and Artificial Intelligence

Sistem Sirkulasi dan Keamanan Buku pada Perpustakaan Menggunakan Radio-Frequency IDentification berbasis IoT via WhatsApp Harlian Navi; Nuroji
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 5 No. 1 (2025): June 2025
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v5i1.13337

Abstract

The book lending process in conventional libraries is still done manually, causing queues, data input errors, and lack of operational efficiency. This technology relies on desktop or web-based digital systems, without integrating IoT technology and real-time communication. Therefore, this research proposes the development of an Internet of Things (IoT)-based book lending system integrated with WhatsApp API and RFID system to improve circulation efficiency and book security. This research uses the prototyping method so that development can be adjusted iteratively to user needs. The system was tested using the black-box testing method and showed a 100% success rate in all test scenarios. This research is an application of the integration of IoT and instant messaging platforms in the context of library management, which has not been widely raised in previous studies, and produces a prototype that is applicable to the scale of educational institutions.
Perancangan Teknologi Radio Frequency Identification Dalam Sistem Presensi Peserta Didik Berbasis Internet of Things di Sekolah Menegah Pertama Sejahtera 2 Cileungsi Yusuf Widsono, Maulana; Nuroji
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 5 No. 1 (2025): June 2025
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v5i1.13968

Abstract

The manual student attendance system at SMP Sejahtera 2 Cileungsi presents several inefficiencies, such as susceptibility to recording errors, time-consuming procedures, and difficulties in accurately summarizing attendance data. Previous studies have proposed RFID and IoT-based systems to improve efficiency, yet most lack features for real-time parental notification. This study aims to develop an automated student attendance system using Radio Frequency Identification (RFID) integrated with the Internet of Things (IoT) and a Telegram bot for immediate communication with parents. The system was developed using the prototyping method, allowing for iterative refinement based on user needs. Attendance is recorded through RFID cards tapped on a reader device, with data stored in a database and exportable to PDF and Excel formats. Black box testing was conducted to validate system functionality. The results indicate that the system enhances accuracy, efficiency, and parental involvement by providing real-time updates. This research contributes to smart education technology by offering a scalable and interactive attendance model that supports administrative digital transformation in schools.