Optimizing Qur'an Tahfiz Learning through Artificial Intelligence Training to Supporting the SDGs of Quality Education

Optimalisasi Pembelajaran Tahfiz Al-Qur’an melalui Pelatihan Artificial Intelligence dalam Mendukung SDGs Pendidikan Berkualitas

Penulis

  • Fitriani Muttakin Universitas Islam Negeri Sultan Syarif Kasim Riau
  • Siti Monalisa Universitas Islam Negeri Sultan Syarif Kasim Riau
  • Abdilllah Abdilllah Universitas Islam Negeri Sultan Syarif Kasim Riau
  • Fitri Amillia Universitas Islam Negeri Sultan Syarif Kasim Riau
  • Mulyanto Mulyanto Universitas Islam Riau

DOI:

https://doi.org/10.57152/consen.v6i1.2740

Kata Kunci:

Artificial Intelligence,, Qur'an Memorization (Tahfiz),, Qur'an Memorization (Tahfiz), Community Service, SDGs 4, Tarteel AI, Digital Learning

Abstrak

Tahfiz Al-Qur'an learning in nonformal institutions still faces obstacles in evaluating recitation and providing intensive memorization assistance. This community service activity aims to improve the understanding and skills of students and teachers in utilizing the Tarteel AI application as a supporting medium for tahfiz learning based on Artificial Intelligence (AI). The activity was carried out at PKBM Tahfiz Attamam Pekanbaru involving 95 participants consisting of students and teaching staff. The activity methods included socialization, training, hands-on practice, and evaluation using Likert scale-based pre-tests and post-tests. The evaluation results showed that 87% of participants understood the basic concepts of AI after the training, while 94% of participants demonstrated interest and readiness to utilize the Tarteel AI application as a supporting medium for tahfiz learning. In addition, teachers assessed that the application could help monitor students' memorization more systematically. This activity shows that the utilization of AI through the Tarteel AI application has the potential to support more adaptive tahfiz learning and contribute to the implementation of SDG 4 on Quality Education.

Unduhan

Data unduhan belum tersedia.

Referensi

A. Faqihuddin, M. I. Firmansyah, and A. Muflih, “Multisensory Approach in Memorizing the Al-Quran for Early Childhood: Integration of the Tradition of Memorizing the Al-Quran with Digital Technology,” AL-ISHLAH J. Pendidik., vol. 16, no. 2, pp. 1289–1302, Jun. 2024, doi: 10.35445/alishlah.v16i2.5326.

M. Prensky, “Digital Natives, Digital Immigrants,” 2001.

Y. Wei, “Digital Literacy in Education: From Local to Global,” vol. 664, 2022.

S. Hrastinski, “What Do We Mean by Blended Learning?,” TechTrends, vol. 63, no. 5, pp. 564–569, Sep. 2019, doi: 10.1007/s11528-019-00375-5.

N. Rois, N. Munawaroh, M. Ifen, A. M. Shofwan, and G. N. K. Mr, “The Integration of Digital Technology in Islamic Education: Enhancing Learning Outcomes and Preserving Religious Values,” Eduprof Islam. Educ. J., vol. 8, no. 1, pp. 201–209, Apr. 2026, doi: 10.47453/eduprof.v8i1.431.

L. Chen, P. Chen, and Z. Lin, “Artificial Intelligence in Education: A Review,” IEEE Access, vol. 8, pp. 75264–75278, 2020, doi: 10.1109/ACCESS.2020.2988510.

abdul azis and i Pramono, “Implementation of ICT-Based Problem-Based Learning Model to Improve Higher Order Thinking Skills in IPAS Learning in Madrasah Ibtidaiyah,” AAPGMI, vol. 14, no. 2, pp. 151–161, mei 2025, doi: 10.18592/aladzkapgmi.v14i2.13282.

M. S. Assingkily and M. Ahmad, “Integrating Artificial Intelligence into Madrasah Learning: A Mixed- Methods Study of Intelligent Media Development and Implementation,” vol. 4, no. 1, 2025.

B. Putra, B. Atmaja, and D. Prananto, “Developing Speech Recognition System for Quranic Verse Recitation Learning Software,” IJID Int. J. Inform. Dev., vol. 1, no. 2, p. 14, Dec. 2012, doi: 10.14421/ijid.2012.01203.

Nopiyanti, “Analisis Pembelajaran Al-Qur’an dan Hadis Berbasis Artificial Intelligence dalam Internalisasi Keterampilan Abad 21 di Madrasah Ibtidaiyah,” Asian J. Control, vol. 14, no. 6, pp. 1771–1771, 2025, doi: 10.1002/asjc.637.

F. D. Davis, “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Q., vol. 13, no. 3, pp. 319–340, Sep. 1989, doi: 10.2307/249008.

V. Venkatesh and F. D. Davis, “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies,” Manag. Sci., vol. 46, no. 2, pp. 186–204, Feb. 2000, doi: 10.1287/mnsc.46.2.186.11926.

##submission.downloads##

Diterbitkan

2026-05-26

Cara Mengutip

Muttakin, F. ., Monalisa, S., Abdilllah, A., Amillia, F. ., & Mulyanto, M. (2026). Optimizing Qur’an Tahfiz Learning through Artificial Intelligence Training to Supporting the SDGs of Quality Education: Optimalisasi Pembelajaran Tahfiz Al-Qur’an melalui Pelatihan Artificial Intelligence dalam Mendukung SDGs Pendidikan Berkualitas. CONSEN: Indonesian Journal of Community Services and Engagement, 6(1), 216-222. https://doi.org/10.57152/consen.v6i1.2740