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All Journal Sainteks Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Informasi dan Ilmu Komputer InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JURIKOM (Jurnal Riset Komputer) EDUMATIC: Jurnal Pendidikan Informatika Journal of Information Systems and Informatics Zonasi: Jurnal Sistem Informasi JIKA (Jurnal Informatika) Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Idealis : Indonesia Journal Information System Jurnal Pendidikan dan Teknologi Indonesia Journal La Multiapp INTERNATIONAL JOURNAL OF EDUCATION, INFORMATION TECHNOLOGY, AND OTHERS Amare J-Icon : Jurnal Komputer dan Informatika Teknomatika: Jurnal Informatika dan Komputer
Erik Iman Heri Ujianto
Universitas Teknologi Yogyakarta
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Journal : Journal La Multiapp

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Implementation of Automated Attendance System Using Fingerprint with Wemos D1 R32 and WhatsApp Notifications Permadi, Bambang; Ujianto, Erik Iman Heri
Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i2.2836

Abstract

The manual attendance system often leads to inefficiencies, such as input errors, delayed data recap, and slow delivery of information to parents. This study aims to design and implement an automated attendance system based on the Internet of Things (IoT) using the AS608 fingerprint sensor and Wemos D1 R32 microcontroller integrated with attendance notifications via WhatsApp. The research method includes the stages of design, implementation, and testing using the black box approach and system performance evaluation. The results show that the system functions properly, successfully reads fingerprints, displays attendance information on the LCD, and sends WhatsApp notifications with an average response time of under 3 seconds. Black box testing confirmed that all main features, such as login, registration, fingerprint verification, and data export, work as expected. The sensor test results indicate a very high success rate under normal finger conditions but decreased accuracy when the finger is dusty, wet, or wrinkled. Overall, this system improves the efficiency, accuracy, and transparency of the student attendance process and is ready for implementation in a school environment.
Co-Authors Adhi Prahara ADITYA HERMAWAN Agus Rakhmadi Mido Agus Sujarwadi Amelia Citra Dewi Apriansyah, Ferryma Arba Azmi, Falah Ilhan Darmawan, Surya Dewanto, Aditya Dimas Dian Wijayanti Enggar Novianto Fauzi, Rizky Gunawan Wibisono Iman, Asri Khayatul Kastella, Thufail Bintang Mahardhika, Chaidar Panji Mido, Agus Rakhmadi Muhammad Husni Wahid Muhammad Rizki Murinto Murinto Permadi, Bambang Purwanto, Candra Ihsan Rianto Rianto Rianto Santoso, Firdaus Restu Rafi Saputra, Candra Heru Saputra, Faiz Sujoko Sujoko Syahab, Alfin Syarifuddin Tri Waluyo Triyas Hevianto Saputro Wibowo, Wahyu Andre Zharifa, Anjana Haya Atha