Pemanfaatan Speech Recognition Berbasis Sound Type Artificial Intelligence untuk Menulis Ayat Al-Qur'an Surah Al-A’la (87): 14–19

The growing use of speech recognition technology in Qur’anic learning and the significant role of artificial intelligence in enhancing educational quality at madrasahs form the background of this study. The aim is to explore the utilization of speech recognition based on sound type artificial intelligence to assist students in writing verses from Surah Al-A‘la (87): 14–19. This study adopts a qualitative approach with a sample of 16 eighth-grade students. Data were collected through interviews, observations, and documentation, and analyzed descriptively. The findings reveal that the use of sound type AI technology enhances students’ accuracy and confidence in writing Qur’anic verses. These results align with technology-based learning theories that support the integration of digital tools in religious education. The study concludes that speech recognition technology serves as an effective aid in Qur’anic learning. Its implications include enriching the literature on educational technology and encouraging madrasahs to integrate digital innovations into the learning process. Furthermore, this study opens avenues for further exploration of similar technologies across diverse educational contexts.

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Publication Details

Journal
YASIN
Published
2025-05-23
DOI
https://doi.org/10.58578/yasin.v5i4.5880
Primary Topic
Linguistics and Language Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Pemanfaatan Speech Recognition Berbasis Sound Type Artificial Intelligence untuk Menulis Ayat Al-Qur'an Surah Al-A’la (87): 14–19

Winda Winda, Jasiah Jasiah, Mahrita Mahrita, Eka Dwi Ningsih
YASIN
Linguistics and Language Analysis
article

Pemanfaatan Speech Recognition Berbasis Sound Type Artificial Intelligence untuk Menulis Ayat Al-Qur'an Surah Al-A’la (87): 14–19

Winda Winda, Jasiah Jasiah, Mahrita Mahrita, Eka Dwi Ningsih
article en

Abstract

The growing use of speech recognition technology in Qur’anic learning and the significant role of artificial intelligence in enhancing educational quality at madrasahs form the background of this study. The aim is to explore the utilization of speech recognition based on sound type artificial intelligence to assist students in writing verses from Surah Al-A‘la (87): 14–19. This study adopts a qualitative approach with a sample of 16 eighth-grade students. Data were collected through interviews, observations, and documentation, and analyzed descriptively. The findings reveal that the use of sound type AI technology enhances students’ accuracy and confidence in writing Qur’anic verses. These results align with technology-based learning theories that support the integration of digital tools in religious education. The study concludes that speech recognition technology serves as an effective aid in Qur’anic learning. Its implications include enriching the literature on educational technology and encouraging madrasahs to integrate digital innovations into the learning process. Furthermore, this study opens avenues for further exploration of similar technologies across diverse educational contexts.

YASINVol. 5(4)
Institut Agama Islam Negeri Bengkulu (ID), IAIN Kudus (ID)
Openalex Percentile: Top 85%
Linguistics and Language Analysis
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