Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Vol 15 No 3: Agustus 2026

Augmented Reality and Neural Network-Based Speech Recognition for Tahsin Digital AR

Idria Maita (Department of Information System, Faculty of Science dan Technologi, Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Riau 28293, Indonesia)
Nelvawita (Department of Geography Education, Faculty of Education and Teaching, Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Riau 28293, Indonesia)
Mhd Nopendri Saputra (Department of Geography Education, Faculty of Education and Teaching, Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Riau 28293, Indonesia)



Article Info

Publish Date
28 Aug 2026

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.

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Journal Info

Abbrev

JNTETI

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Description

Topics cover the fields of (but not limited to): 1. Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Artificial Intelligence, Computer Graphics, Virtual Reality 2. Power Systems: Power Generation, ...