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All Journal Journal of Islamic Monetary Economics and Finance Alkasb: Journal of Islamic Economics
Kouach Yassine
University Hassan II of Casablanca, Morocco
Economics, Econometrics & Finance

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RETAKAFUL CONTRIBUTIONS MODEL USING MACHINE LEARNING TECHNIQUES Kouach Yassine; EL Attar Abderrahim; EL Hachloufi Mostafa
Journal of Islamic Monetary Economics and Finance Vol 9 No 3 (2023)
Publisher : Bank Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21098/jimf.v9i3.1681

Abstract

Driven by the need to manage risk by the newly created Moroccan Takaful operators, the Moroccan Insurance and Social Welfare Control Authority has authorized the Central Reinsurance Company to create a ReTakaful window for the purpose of reinsuring Takaful operations. Nevertheless, the main challenge is determining the appropriate ReTakaful model for the Moroccan Islamic insurance sector by ensuring compliance with Shariah. With this in mind, this article aims to determine the optimal ReTakaful contributions model for the Moroccan Takaful industry via Machine Learning algorithms. We select the best model by comparing the performance of each algorithm. The achieved results of this study demonstrate the potential of using Machine Learning algorithms to compute ReTakaful contributions that are more suitable for Takaful operators and more optimal for the ReTakaful operator.
The influence of knowledge and accessibility on customer saving decisions with religiosity as a moderation variable Muh. Arfah Basri; Abdul Wahab; Murtiadi Awaluddin; Mustakim Muchlis; Kouach Yassine
Alkasb: Journal of Islamic Economics Vol. 3 No. 2 (2024)
Publisher : Islamic Economics Study Program, Faculty of Sharia and Islamic Economics, Universitas Annuqayah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59005/alkasb.v3i2.552

Abstract

This study aims to determine the influence of knowledge and accessibility on customer saving decisions at Bank Syariah Indonesia with religiosity as a moderation variable. This type of research is quantitative research. The population in this study is all students of the Department of Sharia Economic Law STAI YAPIS Takalar. The sampling techniques used are: purposive sampling. In this study the sample number was 41 people. The data collection technique used is a questionnaire measured by a Scale Likert. Data analysis techniques Moderating Regression Analysis (MRA) with the help of the program SPSS 24.0 for windows. The results showed that 1) simultaneously knowledge and accessibility have a significant effect on customers' saving decisions at Bank Syariah Indonesia, 2) knowledge has a significant effect on customers' saving decisions at Bank Syariah Indonesia, 3) accessibility has a significant effect on customers' saving decisions at Bank Syariah Indonesia, 4) religiosity is unable to moderate the influence of knowledge on customers' saving decisions at Bank Syariah Indonesia,  5) religiosity is able to moderate accessibility to customers' saving decisions at Bank Syariah Indonesia.
Co-Authors Abdul Wahab EL Attar Abderrahim EL Hachloufi Mostafa Muh. Arfah Basri Murtiadi Awaluddin Mustakim Muchlis