International Journal of Academic Research in Business and Social Sciences

search-icon

The Development of The Al-Qur'an and Fardhu Ain Mastery Model of The Indigenous People in The State of Pahang Malaysia: The Fuzzy Delphi Approach

Open access

Ramlan Mustapha, Nazatul Akmar Mokhtar, Halim Ismail, Fahmi Zaidi Abdul Razak, Asmadi Abdul Rahman, Sh Mohd Firdaus Sh Othman

Pages 211-223 Received: 01 Apr, 2023 Revised: 04 May, 2023 Published Online: 06 Jun, 2023

http://dx.doi.org/10.46886/IJARBSS/v13-i6/8856
This study aimed to get an agreement and expert views on the development Al-Quran and Fardhu Ain Mastery Model of the Orang Asli in the Pahang state region of Malaysia. This study employs the Fuzzy Delphi method using a 7 Likert scale to collect responses from 7 experts in various fields in Malaysia. A total of 21-item fuzzy questionnaire was given to experts for evaluation. Fuzzy Delphi Method was used for data analysis. Data were analyzed using triangular fuzzy numbering (triangular fuzzy number) and the position (ranking) of each variable is determined using the “defuzzification” process. The findings show that response and expert consensus on model elements are at a good level. The overall findings of the expert consensus agreement exceed 75%, the overall value of the threshold (d) < 0.2 and an ?-cut exceeds 0.5. The priority factors were sorted by priority and were refined by adding and dropping items as recommended by experts.
Al-Wahidi, A. I. A. (2008). Asbab al-Nuzul: Amman, Jordan: Royal Aal al-Bayt Institute Islamic Thought.
Adler, M., & Ziglio, E. (1996). Gazing into the Oracle: The Delphi Method and Its Application to Social Policy and Public Health. Jessica Kingsley Publishers.
Benitez, J. M., Martin, J. C., & Roman, C. (2007). Using Fuzzy Number for Measuring Quality of Service in the Hotel Industry. Tourism Management, 28, 544-555.
Bodjanova, S. (2006). Median Alpha-Levels of a Fuzzy Number. Fuzzy Sets and Systems, 157, 879-891. https://doi.org/10.1016/j.fss.2005.10.015
Booker, J. M., & McNamara, L. A. (2004). Solving Black Box Computation Problems Using Expert Knowledge Theory and Methods. Reliability Engineering & System Safety, 85, 331-340. https://doi.org/10.1016/j.ress.2004.03.021
Chang, P. L., Hsu, C. W., & Chang, P. C. (2011). Fuzzy Delphi Method for Evaluating Hydrogen Production Technologies. International Journal of Hydrogen Energy, 36, 14172-14179. https://doi.org/10.1016/j.ijhydene.2011.05.045
Cantrill, J. A., Sibbald, B., & Buetow, S. (1996). The Delphi and Nominal Group Techniques in Health Services Research. International Journal of Pharmacy Practice, 4, 67-74.
Dalkey, N., & Helmer, O. (1963). An Experimental Application of the Delphi Method to the Use of Experts. Management Science, 9, 458-467. https://doi.org/10.1287/mnsc.9.3.458
Fortemps, P., & Roubens, M. (1996). Ranking and Defuzzification Methods Based on Area Compensation. Fuzzy Sets and Systems, 82, 319-330. https://doi.org/10.1016/0165-0114(95)00273-1
Hasson, F., Keeney, S., & McKenna, H. (2000). Research guidelines for the Delphi survey technique. Journal of advanced nursing, 32(4), 1008-1015.
Hsu, Y. L., Lee, C. H., & Kreng, V. B. (2010). The Application of Fuzzy Delphi Method and Fuzzy AHP in Lubricant Regenerative Technology Selection. Expert Systems with Applications, 37, 419-425. https://doi.org/10.1016/j.eswa.2009.05.068
Hsieh, T. Y., Lu, S. T., & Tzeng, G. H. (2004). Fuzzy MCDM Approach for Planning and Design Tenders Selection in Public Office Buildings. International Journal of Project Management, 22, 573-584. https://doi.org/10.1016/j.ijproman.2004.01.002
Garai, A. (2013). Weighted Intuitionistic Fuzzy Delphi Method. Journal of Global Research in Computer Science, 4, 38-42.
Ibrahim, A., & Ibrahim, A. (2020). The Effectiveness of Quranic Reading Teaching and Learning Methods on Private University Students in Malaysia. Journal of Management & Science, 18(1), 11-11.
JAKOA (2022). https://www.jakoa.gov.my
Kaufmann, A., & Gupta, M. M. (1988). Fuzzy Mathematical Models in Engineering and Management Science. Elsevier Science Inc.
Kaynak, E., & Macaulay, J. A. (1984). The Delphi Technique in the Measurement of Tourism Market Potential. Tourism Management, 5, 87-101.
Lasimbang, J. (1996). The Indigenous Peoples of Sabah. In C. Nicholas, & R. Singh, Indigenous Peoples Of Asia: Many Peoples, One Struggle. Bangkok: Asia Indigenous Pact
Masron, T., Masami, F., & Ismail, N. (2013). Orang Asli in Peninsular Malaysia: population, spatial distribution and socio-economic condition. J Ritsumeikan Soc Sci Humanit, 6, 75-115.
Murray, T. J., Pipino, L. L., & Van Gigch, J. P. (1985). A Pilot Study of Fuzzy Set Modification of Delphi. Human Systems Management, 5, 76-80. https://doi.org/10.3233/HSM-1985-5111
Mullen, P. M. (2003). Delphi: Myths and Reality. Journal of Health Organization and Management, 17, 37-52. https://doi.org/10.1108/14777260310469319
Mustapha, R., & Darusalam, G. (2018). Aplikasi kaedah Fuzzy Delphi dalam Penyelidikan Sains Sosial. Universiti Malaya Press.
Mustapha, R., & Darusalam, G. (2022). Pendekatan Kajian Rekabentuk dan Pembangunan dalam Kajian Kontemporari. Universiti Malaya Press.
Nicholas, C. (1996). The Orang Asli of Peninsular Malaysia. In C. Nicholas, & R. Singh, Indigenous Peoples Of Asia: Many Peoples, One Struggle. Bangkok: Asia Indigenous Pact
Zain, N. M. N. Y. (1996). Dasar Pemilikan Tanah Oleh Orang-Orang Asli Di Semenanjung Malaysia. National Conference On Pan-Malaysia Indigenous Peoples Land Rights And Cultural Identity at University Malaya . Kuala Lumpur: University Malaya.
Nikolopoulos, K. (2004). Elicitation of Expert Opinions for Uncertainty and Risk. International Journal of Forecasting, 20, 143-144. https://doi.org/10.1016/j.ijforecast.2003.11.003
Perera, A. H., Drew, C. A., & Johnson, C. J. (2012). Expert Knowledge and Its Application in Landscape Ecology (pp. 1-11). Springer.
Rasmussen, S. (2000). Addiction Treatment: Theory and Practice. Sage.
Rusaslina, I. (2010). Basic rights for the Orang Asli. Singapore: Institute of South East Asia Studies
Thomaidis, N. S., Nikitakos, N., & Dounias, G. D. (2006). The Evaluation of Information Technology Projects: A Fuzzy Multicriteria Decision-Making Approach. International Journal of Information Technology & Decision Making, 5, 89-122. https://doi.org/10.1142/S0219622006001897