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Contact Name
Luqman H
Contact Email
jeps@sebi.ac.id
Phone
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Journal Mail Official
jeps@sebi.ac.id
Editorial Address
Jl. Raya Bojongsari, Pondok Rangga, Kec. Sawangan, Kota Depok, Jawa Barat 16517, Indonesia
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Jawa barat
INDONESIA
Jurnal Ekonomi dan Perbankan Syariah
ISSN : 23551755     EISSN : 25796437     DOI : https://doi.org/10.46899/jeps.v9i1
Core Subject : Economy, Social,
Jurnal Ekonomi dan Perbankan Syariah is a scholarly journal published by Islamic Banking Department, School of Islamic Economics STEI SEBI The JEPS journal has been issued since 2013 and it’s have published twice in a year in April and October. The journal has been publishing scholarly papers since 2013. Starting in 2018 onwards, we encourage authors to only submit research papers written in good-read English academic writing. The journal is designed to provide a forum for researchers or academicians and also practitioners who are interested in knowledge and in discussing ideas, issues and challenges in the field of Islamic economic and banking. To solve the problem of the ummah and to provide the solution for the gap between the theories and practices. The scope or coverage of this journal will include but are not limited to Islamic economics, Islamic business, Islamic banking, Islamic capital markets, Islamic wealth management, issues on shariah implementation/practices of Islamic banking, zakat and awqaf, takaful, Islamic corporate finance, shariah-compliant risk management, Islamic derivatives, issues of Shariah Supervisory Boards, Islamic business ethics.
Articles 2 Documents
Search results for , issue "Vol 11, No 2 (2023): Journal of Islamic Economics and Banking" : 2 Documents clear
Credit Risk Determinants: Specific and Macroeconomic Factors of Islamic Banks Agitsna Alya Rizqa; Slamet Haryono
Jurnal Ekonomi dan Perbankan Syariah Vol 11, No 2 (2023): Journal of Islamic Economics and Banking
Publisher : Sekolah Tinggi Ekonomi Islam (STEI) SEBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46899/jeps.v11i2.430

Abstract

The development of Islamic banking credit risk shows a downward trend. However, the existence of Indonesian Islamic banking in the world is not yet among the best ranked, even though it has the largest Muslim population. This study examines the factors that influence credit risk in Islamic banks in Indonesia by using the bank's specific characteristics and macroeconomic factors. This study uses a multiple linear regression method with monthly data on Islamic banking in Indonesia for the period 2020-2022. The dependent variable for credit risk uses Non-performing financing (NPF). Independent variables from bank-specific factors are used Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR), and Operating Expenses to Operating Income (BOPO). While the independent variables from macroeconomic factors use inflation and interest rates. The results showed that the CAR, FDR, and inflation variables affected the credit risk of Islamic banks. FDR has a positive effect, while CAR and inflation have a negative effect. BOPO and interest rates do not affect credit risk.
Implementation of Green Banking Policy at Indonesian Islamic Banks Rastiana Alfaaghiyatul Arsy; Ratno Agriyanto; Nasrul Fahmi Zaki Fuadi
Jurnal Ekonomi dan Perbankan Syariah Vol 11, No 2 (2023): Journal of Islamic Economics and Banking
Publisher : Sekolah Tinggi Ekonomi Islam (STEI) SEBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46899/jeps.v11i2.445

Abstract

Therefore, this study aims to determine the effect of knowledge and policies on the implementation of green banking at Bank Syariah Indonesia (BSI) Branch Offices (KC)  Semarang. This research uses a quantitative research type with purposive sampling using a census technique. Researchers distributed a questionnaire (questionnaire) to collect data. This research method is a quantitative method. This research utilizes quantitative methods as a method for analyzing research questions. This study obtains primary data by interacting directly in the field and the results of distributing questionnaires to samples that will be distributed to respondents from Bank BSI employees. This questionnaire tool can be estimated using a Likert scale. Regression analysis method is a method of statistical science that shows the relationship or causal relationship between two or more variables. To prove the hypothesis in this study, researchers used statistical tests supported by econometric tests using the Simultaneous Test (F Test), Partial Test (T Test), and Coefficient of Determination Test (R²). The results showed that knowledge have no significant effect on the application of green banking. This is indicated by the t value of 0.973 with a significance value of 0.334. Meanwhile, the policy has a positive and significant effect on the implementation of green banking.

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