Confronting the Mental Health among Muslim Community: The use of Al-Ghazali approach

Ramlan Mustapha, Siti Norma Aisyah Malkan, Surita Hartini Mat Hassan, Nurshahira Ibrahim and Shamsul Arrieya Ariffin
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Ramlan Mustapha: Academy of Contemporary Islamic Studies, Universiti Teknologi MARA Pahang, Raub Campus, Malaysia
Siti Norma Aisyah Malkan: Academy of Contemporary Islamic Studies, Universiti Teknologi MARA Pahang, Raub Campus, Malaysia
Surita Hartini Mat Hassan: Academy of Contemporary Islamic Studies, Universiti Teknologi MARA Pahang, Raub Campus, Malaysia
Nurshahira Ibrahim: Academy of Contemporary Islamic Studies, Universiti Teknologi MARA Pahang, Jengka Campus, Malaysia
Shamsul Arrieya Ariffin: Faculty of Computing and Meta-Technology, Sultan Idris Education University, Perak, Malaysia

International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 8, 3087-3101

Abstract: The objective of this study was to obtain consensus and expert opinions on the criteria for addressing mental health issues within the Muslim community. This study utilizes the Fuzzy Delphi approach, employing a 7-point Likert scale to gather views from 7 experts across different sectors in Malaysia. Experts were given a questionnaire consisting of 20 items for evaluation. The Fuzzy Delphi approach was employed for data analysis. The data were analyzed using triangular fuzzy numbering, which involves assigning triangular fuzzy numbers to each variable. The position or ranking of each variable is then established using the defuzzification procedure. The findings indicate that the reaction and expert consensus on the guidelines for addressing mental health issues within the Muslim community are satisfactory. The expert consensus agreement is above 75% regarding overall findings, the threshold value (d) is less than 0.2, and an α-cut exceeds 0.5. The priority guidelines aspects were arranged based on their level of importance and were further improved by incorporating and removing items as suggested by experts.

Date: 2024
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