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All Journal Journal of Artificial Intelligence and Digital Business AMPLITUDO: Journal of Science & Technology Innovation
Ilmi, Hayatul
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Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

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Perancangan Sistem Absensi Berbasis Internet of Things (IOT) dengan Fitur Keamanan Sidik Jari Ilmi, Hayatul; Khairuman, Khairuman; Ginting, Rossiana Br
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 1 (2026): Februari - April
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i1.6088

Abstract

Lecturer attendance is an essential aspect in maintaining the quality of the learning process in higher education. Although fingerprint-based attendance technology has been implemented, most existing systems still operate locally and are not yet integrated with the Internet, resulting in the inability to monitor attendance data in real time. This study aims to design and implement a lecturer attendance system based on the Internet of Things (IoT) equipped with a fingerprint security feature, which can automatically and accurately record attendance and display it online through a web-based monitoring interface. The research method used is Research and Development (R&D) with a descriptive qualitative approach. The system design integrates hardware components such as the NodeMCU ESP8266 microcontroller, R307 fingerprint sensor, 16x2 LCD, and buzzer, along with software developed using Arduino IDE and Google Spreadsheet as the online database. The system was tested based on response speed, error rate, and time accuracy parameters. The test results show that the system has an average error rate of 3.3% and an average response time of 2.9 seconds, indicating that the system performs responsively and stably. The fingerprint authentication feature ensures that only registered lecturers can record attendance, while IoT integration enables attendance data to be automatically stored and displayed on the web monitor in real time. Therefore, this system is considered effective, secure, and applicable for supporting academic administration processes in higher education environments.
Mitigating Religious Radicalism and Polarization through the Integration of Artificial Intelligence (AI), Internet of Things (IoT), Blockchain and Cognitive Science Iqbal, Muhammad; Zahraini, Zahraini; Ilmi, Hayatul; Mutasar, Mutasar; Naila, Putri; Marra, Ezio
AMPLITUDO : Journal of Science and Technology Innovation Vol. 5 No. 1 (2026): February
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/amplitudo.v5i1.551

Abstract

Education have shifted into digital environments, where algorithm-driven platforms intensify extremist discourse and weaken tolerance among students. Previous studies highlight the limitations of conventional deradicalization programs, which rely on offline seminars or punitive measures and fail to address the digital and cognitive mechanisms of radicalization. To address this gap, this study investigates whether integrating Artificial Intelligence (AI), Internet of Things (IoT), blockchain, and cognitive science can provide an effective and ethical counter-radicalization framework for universities. Guided by the hypothesis that a multidisciplinary approach combining technological detection with cognitive restructuring yields measurable psychosocial impact, a Research and Development (R&D) design was applied across six stages, involving students, faculty mentors, and expert validators in Aceh, Indonesia. The AI–NLP module, fine-tuned with local data, achieved high accuracy (precision 0.94; recall 0.89), while CBT-based cognitive microlearning increased tolerance scores by 28% (p < 0.01) and reduced risky online interactions by 40%. Findings demonstrate that integrating disruptive technologies with cognitive-behavioral methods produces both technical and attitudinal benefits. The study contributes theoretically to technology-mediated deradicalization and practically to policy-driven curriculum design, with implications for cross-cultural scalability and longitudinal research..
Co-Authors Ginting, Rossiana Br Khairuman, Khairuman Marra, Ezio Muhammad Iqbal Mutasar Naila, Putri Zahraini Zahraini