Integrated Management Model of Malaysian Private Tahfiz Centers for User Acceptance Satisfaction by Using Linear Regression

Authors

  • Mohammad Fahmi Abdul Hamid Academy of Contemporary Islamic Studies (ACIS), UiTM Cawangan Melaka Kampus Alor Gajah, Malaysia. https://orcid.org/0000-0002-4923-7127
  • Muhamad Hanif Jofri ICT as Enabler (iCAN) Focus Group, Department of Information Technology, Center for Diploma Studies, Universiti Tun Hussein Onn Malaysia, Pagoh Higher Education Hub, 86400 Pagoh, Johor, Malaysia.
  • Khairul Azhar Meerangani Academy of Contemporary Islamic Studies (ACIS), UiTM Cawangan Melaka Kampus Alor Gajah, Malaysia.
  • Muhammad Taufik Md Sharipp Academy of Contemporary Islamic Studies (ACIS), UiTM Cawangan Melaka Kampus Alor Gajah, Malaysia.
  • Mohd Farhan Bin Md Ariffin Research Centre for Quran and Sunnah, Faculty of Islamic Studies, Universiti Kebangsaan Malaysia, Malaysia.
  • Mohamad Shafiei Ayub Academy of Contemporary Islamic Studies (ACIS), UiTM Cawangan Melaka Kampus Alor Gajah, Malaysia.
  • Ahmad Safwan Raihan Institute of Islam Hadhari (HADHARI), Universiti Kebangsaan Malaysia, Malaysia.

DOI:

https://doi.org/10.21123/bsj.2024.9560

Keywords:

I3M-Tahfiz, Integrated Management Model, Mean Opinion Score, Tahfiz Centers, user acceptance, Quality of Experience

Abstract

Tahfiz education is popular and accepted in Malaysia. Today, tahfiz centres and modern institutions offer it. Since these Islamic entities fulfil sacred religious obligations, good governance and accountability are essential. Modern Malaysian Islamic education requires innovative technology for Tahfiz education and administration. Tahfiz learning management is hampered by a lack of resources, infrastructure, and facilities. No model has been implemented to organise tahfiz institutions for better management. This study evaluates the Integrated Management Model of Malaysian Private Tahfiz Centres (I3M-Tahfiz) for practical education satisfaction efficiency. User satisfaction will be prioritised when implementing the I3M-Tahfiz Model at a random Malaysian Tahfiz institution. The framework implementation uses the subjective approach algorithm to calculate user Mean Opinion Score (MOS) from a user acceptability review study. A Tahfiz institution that prioritises QoE will likely gain community support and engagement. This can boost enrollment, donations, and word-of-mouth, expanding the institution's reach. After establishing MOS and Resource, linear regression is used to determine the relationship between user acceptability and a major tahfiz efficiency factor. MOS results show 78% relationship between user acceptability and I3M-Tahfiz frameworks. In conclusion, I3M-Tahfiz encompasses spiritual growth, efficient memorization, customised instruction, community support, long-term student effects, technology integration, flexibility, global competency, and education leadership.

References

Ahmad N. Memperkasa Darul Quran ke arah memartabat pendidikan tahfiz di Malaysia [Internet]. eprints.um.edu.my. ILIM, Bangi; 2015. p. 1–24.

Abd Razak SR. Tahfiz Teacher Education Issues: Pedagogical Knowledge and Practice in the Teaching and Learning Process at a Private Tahfiz Center in Selangor. Islamiyyat. 2020; 42: p. 101–6. https://doi.org/10.17576/islamiyyat-2020-42IK-13.

The National Tahfiz Education Policy [Internet]. Putrajaya: JAKIM; 2021.

Ismail A, Tamuri AH, Hassan NH. Implementation of Talaqqi and MushÉfahah Practice in Teaching of Tahfiz Al-Quran in Malaysia. Islamiyyat [Internet]. 2019; 41(1): p. 93–8. https://doi.org/10.17576/islamiyyat-2019-4001-10

Ismail S. History of the Development and Latest Status of Tahfiz Studies in Malaysia. 2018. This Working Paper was presented at the National Tahfiz Institution Muzakarah in the Northern Region, organised by the Islamic Consultative Council of Malaysia (MAPIM) in collaboration with the Kedah State Religious School Affairs Organisation (HESA) and Darul Ulum Islamic College (KIDU), located at Darul Murtadha Complex Sungai Petani Kedah, on November 1, 2018.p. 1-12

Mohamed Y, Abdullah H, Haque M, Ismail S. The Integration of Naqli and Aqli in Teaching Arabic for Specific Purposes (ASP) in Universiti Sains Islam Malaysia (USIM). Islamiyyat : J Islam Stud [Internet]. 2018. 40(2): p. 105–13. https://doi.org/10.17576/islamiyyat-2018-4002-02

Yahaya M, Nurzuliana Rashed Z, Farah Selamat A. Isu Dalam Pendidikan Tahfiz : Satu Analisis. In: International Conference on Social Sciences and Humanities (PASAK) [Internet]. Selangor International Islamic University College; 2018. p. 141-148

Norazmi A, Shahril Nizam Z, Syukri M, Amin C A. Governance Transformation of Private Tahfiz Institutions (ITS) in Malaysia Through Social Entrepreneurship Model. In: WCIT2018 Proceedings [Internet]. Perak, Malaysia: Sultan Azlan Shah University; 2017. p. 45–56.

Sharini. C. I,. Methods, Process and Factors Influencing Tahfiz Learning among Students of Government Religious Schools [Internet] [Thesis]. [Universiti Putra Malaysia]; 2017. p.123-126

Ghadiyaram D, Pan J, Bovik AC. A Subjective and Objective Study of Stalling Events in Mobile Streaming Videos. IEEE Trans Circuits Syst. Video Technol [Internet]. 2019 Jan 1. 29(1): p. 183–97. https://doi.org/10.1109/TCSVT.2017.2768542

P Series. P.910 : Subjective video quality assessment methods for multimedia applications [Internet]. 2008.

Seufert M. Fundamental Advantages of Considering Quality of Experience Distributions over Mean Opinion Scores. Eleventh International Conference on Quality of Multimedia Experience (QoMEX). 2019 Jun1. p. 1- 6 https://doi.org/10.1109/qomex.2019.8743296

Ling S, Pastor A, Wang J, Patrick Le Callet. Considering User Agreement in Learning to Predict the Aesthetic Quality. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2022 May 23; 1790-1794 https://doi.org/10.1109/icassp43922.2022.9746258

Lee S, Cha H. User interface-level QoE analysis for Android application tuning. Pervasive Mob Comput. Pervasive Mob Comput. 2017 Sep; 40: 382–96. https://doi.org/10.1016/j.pmcj.2017.04.004

Gao X, Liu D, Liu D, Wang H, Stavrou A. E-Android: A New Energy Profiling Tool for Smartphones. Proc Int Conf Distrib Comput Syst (ICDCS). 2017 Jun 5; https://doi.org/10.1109/icdcs.2017.218

Saifullah, Ren Z, Hussain K, Faheem M. K-means online-learning routing protocol (K-MORP) for unmanned aerial vehicles (UAV) adhoc networks. Ad Hoc Networks [Internet]. 2024 Mar 1 .p. 154:103354. https://doi.org/10.1016/j.adhoc.2023.103354

Saini D, Garg R, Malik R, Deepak Prashar, Faheem M. HFRAS: design of a high-density feature representation model for effective augmentation of satellite images. Signal, Image and Video Processing. 2023 Nov 11. p. 1393–1404 https://doi.org/10.1007/s11760-023-02859-7

Xie H, Shang F. The study of methods for post-pruning decision trees based on comprehensive evaluation standard [Internet]. IEEE Xplore. 2014. p. 903–8. https://doi.org/10.1109/FSKD.2014.6980959

Kumar N, Kumar S. Conceptual Service Level Agreement Mechanism to Minimize the SLA Violation with SLA Negotiation Process in Cloud Computing Environment Baghdad Sci J. 2021 Jun 20; 18(2(Suppl.)): 1020. p. 1020-1029 https://doi.org/10.21123/bsj.2021.18.2(suppl.).1020

Kumar N, Kumar S. A Salp Swarm Optimization for Dynamic Resource Management to Improve Quality of Service in Cloud Computing and IoT Environment. Int J Sens, Wireless Communications and Control [Internet]. 2022. 12(1): p. 88–94. https://doi.org/10.2174/2210327911666210126122119

Corral L, Georgiev AB, Sillitti A, Succi G. A method for characterizing energy consumption in Android smartphones. 21st IEEE International Conference Green and Sustainable Software (GREENS). 2013 May 1; p. 38-45 https://doi.org/10.1109/greens.2013.6606420

Vasantha Naga Vasu, Surendran. R, S SM, Madhusundar. N. Prediction of Defective Products Using Logistic Regression Algorithm against Linear Regression Algorithm for Better Accuracy. 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT). 2022 Nov 20; p. 161-166 https://doi.org/10.1109/3ict56508.2022.9990653

Downloads

Issue

Section

article

How to Cite

1.
Integrated Management Model of Malaysian Private Tahfiz Centers for User Acceptance Satisfaction by Using Linear Regression. Baghdad Sci.J [Internet]. [cited 2024 Nov. 21];22(3). Available from: https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/9560