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All Journal Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Nelvawita
Department of Geography Education, Faculty of Education and Teaching, Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Riau 28293, Indonesia
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Augmented Reality and Neural Network-Based Speech Recognition for Tahsin Digital AR Idria Maita; Nelvawita; Mhd Nopendri Saputra
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 15 No 3: Agustus 2026
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v15i3.18758

Abstract

Accurate Al-Qur’an tajwid (tahsin) requires repeated practice and direct guidance on makharijul huruf and basic tajwid. During post-pandemic blended learning, State Islamic Higher Education Institutions (Perguruan Tinggi Keagamaan Islam Negeri, PTKIN) students in Riau and Riau Islands often rely on asynchronous materials that provide limited articulation visualization and feedback. This study reported on the development of Tahsin Digital AR, an Android application that combined marker-based augmented reality with audio-visual demonstrations to support letter articulation practice. The study followed an educational research and development design (Borg and Gall) that included needs analysis, prototype development, expert review, and field evaluation. Media validity was assessed by three technology experts and three subject matter experts using a structured questionnaire; user acceptance was measured through a survey of 300 students from three PTKIN. Technology and content validation reached 84.55% and 93.89%, respectively, resulting in an overall feasibility score of 89.22% (highly valid). The survey results indicated a strong need for the application, with 96.0% agreed/strongly agreed that this application needed to be developed, and 92.7% agreed/strongly agreed that this application was practical to use. Most respondents (77.3%) also agreed/strongly agreed that this application was more interesting and effective for learning to read the Qur’an. These findings indicate that the proposed AR media is feasible and well-received as a tahsin support in the PTKIN context. Future work should include experiments on learning outcomes and automatic pronunciation assessment.
Co-Authors Idria Maita Mhd Nopendri Saputra