Pemanfaatan Speech Recognition Berbasis Sound Type Artificial Intelligence untuk Menulis Ayat Al-Qur'an Surah Al-A’la (87): 14–19 Utilization of Sound Type Artificial Intelligence-Based Speech Recognition for Writing Qur’anic Verses from Surah Al-A’la (87): 14–19

Article Sidebar

Page Numbers: 2959-2969
Download PDF
Published: May 23, 2025
Digital Object Identifier: 10.58578/yasin.v5i4.5880
Save this to:
Save to Mendeley Download RIS

Article Metrics:
Viewed: 346 times
Downloaded: 215 times
Article can trace at:

Author Fee:
Free Publication Fees for Foreign Researchers (USD 0.00)
Check for article on SINTA:

LYAS Publisher cordially invites qualified professionals to serve as Editors or Reviewers. Your expertise will make an important contribution to maintaining and strengthening the academic quality of our publications. Interested applicants are kindly requested to complete the application form at the following link: Editors & Reviewers

Connected Papers:
Connected Papers

Please feel free to contact us if you need any further information about the submission process or if you have any additional questions.

Authors:
Jasiah Jasiah1, Winda Winda2*, Mahrita Mahrita3, Eka Dwi Ningsih4
Copyright :

Authors retain copyright and grant the journal right of first publication.


Main Article Content

Jasiah Jasiah
Institut Agama Islam Negeri Palangka Raya
Winda Winda
Institut Agama Islam Negeri Palangka Raya
Mahrita Mahrita
Institut Agama Islam Negeri Palangka Raya
Eka Dwi Ningsih
Institut Agama Islam Negeri Palangka Raya

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.

Keywords:
Share Article:

Citation Metrics:

 Scopus



Downloads

Download data is not yet available.

Scopus Citation Data

Data source Crossref
0
citations
Check Secondary Documents in Scopus
Open this article in Scopus, then check the Secondary documents tab. Use Manual Citation Fallback only for counts you have verified manually.
Open in Scopus
Similar Scopus Articles
Scopus
  1. Charuau D. (2027)
    A multimodal perspective on adaptive communication: Extending the hyper- and hypo-articulation theory
    Computer Speech and Language, 101
  2. You Q. (2027)
    FAS-Conformer: An efficient swift Conformer with feature aggregation for DOA estimation
    Computer Speech and Language, 101
  3. Lahiri R. (2027)
    Exploring contrastive alignment across conversational turns for modeling vocal entrainment in interactions involving children with autism
    Computer Speech and Language, 101

Article Details

How to Cite
Jasiah, J., Winda, W., Mahrita, M., & Ningsih, E. D. (2025). Pemanfaatan Speech Recognition Berbasis Sound Type Artificial Intelligence untuk Menulis Ayat Al-Qur’an Surah Al-A’la (87): 14–19. YASIN, 5(4), 2959-2969. https://doi.org/10.58578/yasin.v5i4.5880

Creative Commons License
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

References

Achmady, S., Qadriah, L., & Auzan, A. (2022). Rancang Bangun Magnetic Solenoid Door Lock Dengan Speech Recognition Menggunakan Nodemcu Berbasis Android. Jurnal Real Riset, 4(2), 79–91. https://doi.org/10.47647/jrr.v4i2.636

Alfansyur, A. (2020). Seni Mengelola Data: Penerapan Triangulasi Teknik, Sumber Dan Waktu Pada Penelitian Pendidikan Sosial. Historis: Jurnal Kajian, Penelitian & Pengembangan Pendidikan Sejarah, 5(2), 146–150. https://doi.org/10.31764/historis.v5i2.3432

Anggraini, A. A., & Saf, M. R. A. (2020). Aplikasi Pembelajaran Iqra Berbasis Android Menggunakan Speech Recognition Dan Augmented Reality. JURNAL FASILKOM, 10(2), 84–89. https://doi.org/10.37859/jf.v10i2.2051

Apriliyanti, Y. (2025). Pengembangan Bahan Ajar Berbasis Video Pembelajaran Dalam Pemahaman Siswa Pada Mata Pelajaran Fiqih. Jurnal Sains Student Research (JSSR), 3(1), 366–373. https://doi.org/10.61722/jssr.v3i1.3509

Arifin, F., Marisa, F., & Wijaya, I. D. (2016). Implementasi Google Speech Untuk Penentuan Level Pembelajaran Iqro’ Berbasis Android. JOINTECS (Journal of Information Technology and Computer Science), 1(1), 16–21. https://doi.org/10.31328/jointecs.v1i1.403

Chatra, M. A., Achjar, K. A. H., Ningsi, & Rusliyadi, A, M. (2023). Metode Penelitian Kualitatif: Panduan Praktis Untuk Analisis Data Kualitatif Dan Studi Kasus. PT. Sonpedia Publishing Indonesia.

Damayanti, A., & Amrulloh, M. A. (2025). Potensi Pemanfaatan Artificial Intelligence Pada Pembelajaran Bahasa Arab Untuk Penguatan Karakter. Jurnal Ihtimam, 8(01), 1–14. https://doi.org/10.36668/jih.v8i01.1239

Febrianto, K., & Ikbal, I. (2020). Penerapan Speech Recognition Pada Permainan Edukasi “Tahfidzul Qur’an Zaman Now” Berbasis Android. Komputa : Jurnal Ilmiah Komputer Dan Informatika, 9(1), 17–24. https://doi.org/10.34010/komputa.v9i1.3721

Gunawan, B. (2023). Implementasi Manajemen Pendidikan Karakter Dalam Mengembangkan Minat, Sikap Dan Perilaku Positif Siswa di MA Nurul Iman Kasui Kabupaten Way Kanan. Innovative: Journal of Social Science Research, 3(3), 6328–6341. https://j-innovative.org/index.php/Innovative

Hadiatma, I., Nugroho, H. A., & Nugroho, E. (2018). Desain dan Implementasi Speech Recognition Sebagai Media Pembelajaran Pronunciation Bahasa Inggris. Jurnal Teknologi Elektro, Universitas Mercu Buana, 9(1), 39–45.

Hartono, J. (2018). Strategi Penelitian Bisnis. Yogyakarta: Penertbit Andi.

Huda, M. (2019). Algoritma Data Mining: Analisis Data Dengan Komputer. jawa timur: Bisakimia.

Iqbal, mohd, Nasir, J., Supriyad, A., & Nurhayati, S. (2024). Konsep Kercedasan Buatan. Sumatera barat: Gita Lentera.

Jasiah, J. (2019). Analisis Kebutuhan Pengembangan Bahan Ajar Mata Kuliah Budaya Lokal Di IAIN Palangka Raya. Anterior Jurnal, 19(1), 148–152. https://doi.org/10.33084/anterior.v19i1.1199

Jasiah, J., Mazrur, M., Hartati, Z., Rahman, Abd., Kibtiyah, M., Liadi, F., & Fahmi, F. (2024). Islamic Teachers’ Implementation of the Merdeka Curriculum in Senior High Schools: A Systematic Review. International Journal of Learning, Teaching and Educational Research, 23(4), 394–408. https://doi.org/10.26803/ijlter.23.4.21

Nada, Q., Ridhuandi, C., Santoso, P., & Apriyanto, D. (2019). Speech Recognition dengan Hidden Markov Model untuk Pengenalan dan Pelafalan Huruf Hijaiyah. Jurnal Al-Azhar Indonesia Seri Sains Dan Teknologi, 5(1), 19. https://doi.org/10.36722/sst.v5i1.319

Navisa, S., Luqman Hakim, & Aulia Nabilah. (2021). Komparasi Algoritma Klasifikasi Genre Musik pada Spotify Menggunakan CRISP-DM: Indonesia. Jurnal Sistem Cerdas, 4(2), 114–125. https://doi.org/10.37396/jsc.v4i2.162

Pringgar, R. F., & Sujatmiko, B. (2020). Penelitian Kepustakaan (library Research) Modul Pembelajaran Berbasis Augmented Reality Pada Pembelajaran Siswa. IT-Edu : Jurnal Information Technology and Education, 05(1), 317–329. https://doi.org/10.26740/it-edu.v5i1.37489

Purba, A., & Saragih, A. (2023). Peran Teknologi dalam Transformasi Pendidikan Bahasa Indonesia di Era Digital. All Fields of Science Journal Liaison Academia and Sosiety, 3(3), 43–52. https://doi.org/10.58939/afosj-las.v3i3.619

Purba, F. E., & Simanjuntak, P. (2012). Metode Penelitian. Medan: Sadia.

Rifky, S. (2024). Dampak Penggunaan Artificial Intelligence Bagi Pendidikan Tinggi. Indonesian Journal of Multidisciplinary on Social and Technology, 2(1), 37–42. https://doi.org/10.31004/ijmst.v2i1.287

Riski, M., & Jasiah, J. (2025). Pemanfaatan Media Interaktif Berbasis Web Lumio dalam Meningkatkan Minat Belajar Siswa pada Pembelajaran Al-Qur’an Hadits Kelas XII MA Darul Ulum Palangka Raya. JIMU: Jurnal Ilmiah Multi Disiplin, 03(02), 724–734.

Salamun, S., Sukri, S., Amin, K., Elvitaria, L., & Trisnawati, L. (2022). Artificial Intelligence Automatic Speech Recognition (ASR) untuk pencarian potongan ayat Al-Quâ€TMran. Jurnal Komputer Terapan, 8(1), 36–45. https://doi.org/10.35143/jkt.v8i1.5299

Setiawan, A., & Yuliandika Saputra, D. (2023). Sredo: Media Pembelajaran Bahasa Inggris Dengan Fitur Object Detection Dan Speech Recognition. JIKA (Jurnal Informatika), 7(4), 371. https://doi.org/10.31000/jika.v7i4.8385

Sugiyono. (2017). Penelitian Pendidikan Pendekatan Kuantitatif,kualitatif, Dan R&d. Bandung: Alfabeta.

Sujjada, A., Insany, G. P., & Nugraha, M. F. (2024). Implementasi Automatic Speech Recognition Pada Penilaian Hafalan Al-Quran Dengan Metode Muroja’ah Berbasis Android. CICES (Cyberpreneurship Innovative and Creative Exact and Social Science), 10(2), 216–228. https://doi.org/10.33050/cices.v10i2.3247

Ulya, A., Muqtadiroh, F. A., & Muklason, A. (2021). Identifikasi Faktor Resistansi Guru Terhadap Teknologi Sebagai Pendukung Pembelajaran di Pondok Pesantren Salaf. Jurnal Nasional Teknologi dan Sistem Informasi, 7(1), 18–26. https://doi.org/10.25077/TEKNOSI.v7i1.2021.18-26

Wibawono, A. R. D., & Pamungkas, O. Y. (2024). Optimalisasi Pembelajaran Berbasis Kearifan Lokal Menggunakan Artificial Intelligence di Era Revolusi Industri 4.0 dan Society 5.0. Proceedings Series on Social Sciences & Humanities, 19, 192–199. https://doi.org/10.30595/pssh.v19i.1352

Wisdhani, Z., Ontowirjo, A. H. J., & Kambey, F. D. (2021). Asmaul Husna Learning Application Using The Speech recognition. Speech recognition, 16(3), 283–292. https://doi.org/10.35793/jti.v16i3.34181


Explore Our Journals
Find the most suitable journal for your research. If this journal does not fully align with the scope of your manuscript, we invite you to explore our wider portfolio of journals covering diverse fields of study. Please select one of the journals below to identify the most appropriate publication platform for your work.