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THE DETERMINANTS OF CUSTOMER LOYALTY IN SHARIA BANK IN JAMBI WITH ISLAMIC APPROACH Lucky Enggrani Fitri; Paulina Lubis; Ary Dean Amri
Maqdis: Jurnal Kajian Ekonomi Islam Vol 4, No 2 (2019): Juli - Desember 2019
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/maqdis.v4i2.516

Abstract

This study aimed to determine the direct effect between customer perceived value (CPV), trust towards satisfaction on customer of sharia banks in Jambi province. The development of Sharia banking in Jambi is quite slow compared to other provinces in Sumatra Island. This research was conducted in Jambi Province. The design of this study used a quantitative method with a survey approach to obtain primary data, namely by distributing questionnaires to 140 customers in six Sharia commercial banks in Jambi province by using purposive sampling method in determining the sample. Determination of the minimum sample size in this study refers to the statement of Hair et al. Then the quantitative data was processed using Structural Equation Model (SEM) with SmartPLS 3 software. The findings of this study found that an exogenous latent variable Customer Perceived Value affects customer trust and satisfaction. This research was expected to make practical contributions to the management of Sharia banks and related parties as information to determine the marketing strategy of Sharia bank products in Jambi province, in effort to increase customer satisfaction of sharia banks in Jambi province.
Development and Growth of Financial Sector Stock Market on Investment Climate: Study on Bank Syariah Indonesia and Bank Mandiri Ary Dean Amri; Dea Anjelinah; Fidyah Safitri; Duwi Puspita; Neni Yuana; Andini Destri Aulia; Asraf Mustafa
Solo International Collaboration and Publication of Social Sciences and Humanities Vol. 2 No. 01 (2024): Solo International Collaboration and Publication of Social Sciences and Humani
Publisher : Walidem Institute and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61455/sicopus.v2i01.98

Abstract

The purpose of this study is to analyze the development and growth of the stock market in the financial sector and the comparison between Bank Syariah Indonesia Tbk (BRIS) and Bank Mandiri Persero Tbk (BMRI) on the investment climate in Indonesia. This research method uses quantitative data, as the name implies, many are required to use value figures from data collection, interpretation of the data, and the appearance of the results. This study uses variables consisting of Dependent Variables, namely Investment Climate, and Independent Variables, namely the Development and Growth of the Stock Market in the Financial Sector and Comparison between Bank Syariah Indonesia Tbk (BRIS) and Bank Mandiri Persero Tbk (BMRI). The source of the data was obtained data from the Central Statistics Agency (BPS), Bank Syariah Indonesia Tbk (BRIS), and Bank Mandiri Persero Tbk (BMRI). The results of the study concluded that if the growth and development of the Stock Market in the financial sector increased by 0.01 (1%), then the Investment Climate would increase by 0.390736. Then if there is an increase in the comparison rate between Bank Syariah Indonesia Tbk (BRIS) and Bank Mandiri Persero (BMRI) 0.01 (1%), the Investment Climate will decrease to 1.370777. Based on statistical test F of 8.19119, and probability value (Prob) of 0.0011590 < 0.05. This states that the Growth and Development of the Stock Market in the financial sector and the comparison between Bank Syariah Indonesia Tbk (BRIS) and Bank Mandiri Persero (BMRI) together have a positive impact on the investment climate with a certainty level of 0.671892 (67.2%). The variation in changes in the rise and fall of the investment climate can be influenced by the growth and development of the stock market in the financial sector and the comparison between Bank Syariah Indonesia Tbk (BRIS) and Bank Mandiri Persero (BMRI) of 67.2%, then 32.8%, the rest is explained by other factors. R2 adjusted the 589865 figures, showing that the probability level of the investment climate of the model used is 59%.