Analisis Efisiensi Perbankan Syariah Pada Masa Pandemi Covid-19 Menggunakan Data Envelopment Analysis (DEA)
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Abstract
This study aims to determine the efficiency of Islamic banking in the face of a pandemic at BRI Syariah, BJB Syariah, BCA Syariah and Bank Syariah Bukopin. This study uses quantitative data using secondary data from the monthly financial reports of Islamic banks for 2020 at BRI Syariah, BJB Syariah, BCA Syariah and Bank Syariah Bukopin. This study uses Data Envelopement Analysis (DEA). The variables in this study use the input variables of capital, assets, labor costs and output variables of musyarakah financing, mudharabah financing and distribution of income. The results showed that some banks initially experienced 100% efficiency and during the pandemic experienced inefficiency or experienced a decrease in efficiency. BRI Syariah must experience a decrease in efficiency (inefficiency) after the pandemic in June, July, August 2020 and November 2020 with the CRS model and the June-August 2020 VRS model. The lowest point for BRI Syariah for the CRS model is 98.70% and for the VRS model it is 99.10%. BJB Syariah must experience a decrease in efficiency (inefficiency) due to the pandemic in April 2020, decreased in the CRS in April 2020 and the VRS Model from August 2020 to November 2020. The lowest point for BJB Syariah for the CRS model is 97.00% and for VRS model at 97.80%. BCA Syariah from April 2020 to September 2020, for CRS and VRS models, it is known that there is a reduction in performance (inefficiency) from the target that should have been achieved. The lowest point for the BCA Syariah for the CRS model is 94.80% and for the VRS model it is at 95.50%. March 2020 to November 2020 Bank Syariah Bukopin CRS and VRS models were ineffective due to the pandemic. Bank Syariah Bukopin's lowest point for the CRS model is at 95.50% and for the VRS model at 95.60%.
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Analisis Efisiensi Perbankan Syariah Pada Masa Pandemi Covid-19 Menggunakan Data Envelopment Analysis (DEA). (2021). I-Finance: A Research Journal on Islamic Finance, 7(1), 11-30. https://doi.org/10.19109/ifinance.v7i1.8434
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I-Finance by http://jurnal.radenfatah.ac.id/index.php/I-Finance is lincensed under a Creative Commons Attribution-ShareAlike 4.0 International Lisence.
How to Cite
Analisis Efisiensi Perbankan Syariah Pada Masa Pandemi Covid-19 Menggunakan Data Envelopment Analysis (DEA). (2021). I-Finance: A Research Journal on Islamic Finance, 7(1), 11-30. https://doi.org/10.19109/ifinance.v7i1.8434
References
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Talluri, S. (2000). Data Envelopment Analysis : Models and Extensions. Decision Line, May, 8–11.
Asyarif, M. I., & Hanani, N. (2018). Technical Efficiency Analysis of Dryland Sugarcane Farming in Jombang District. Ekonomi Pertanian Dan Agribisnis, 2(2), 159–167.
Bank Syariah Bukopin. (2020). Laporan Keuangan Bulanan Januari-Desember 2020.
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Coelli, T. (2016). A Guide to DEAP Version 2.1: A Data Envelopment Analysis (Computer) Program. CEPA Working Paper 96/08 Departement of Econometrics University of New England, Australia, 4(1), 1–7.
Desmy Riani, D. M. (2018). Determinan Efisiensi Perbankan Syariah: Two Stage Data Envelopment Analysis. Jurnal Prosiding UIKA Bogor.
Evandri Notalin, Nonie Afrianty, A. (2021). Dampak Covid-19 terhadap Tingkat Efisiensi Kinerja Keuangan Bank Umum Syariah di Indonesia Menggunakan Pendekatan Data Envelopment Analysis. Jurnal Ilmiah Akuntansi, Manajemen & Ekonomi Islam (Jam-Ekis), 4(1), 169–178.
Farandy, A. R., Suwito, D. A., Dabutar, L. K., & Studies, D. (2017). Efficiency of Islamic Banks in Indonesia: Data Envelopment Analysis. International Journal of Economics, Management and Accounting, 25(2), 337–354.
Hanifah Rahmi, D. Z. P. (2019). Analisis Efisiensi Perbankan Syariah Selama Krisis Global di Indonesia. Jurnal Kajian Ekonomi Dan Pembangunan, 1(1), 321–322.
Hidayati, N., Siregar, H., & Pasaribu, S. H. (2017). Determinant of Efficiency of the Islamic Banking in Indonesia. Buletin Ekonomi Moneter Dan Perbankan, 20(1), 29–48. https://doi.org/10.21098/bemp.v20i1.723
Jogiyanto. (2007). Metodologi Penelitian Bisnis. In BPFE Yogyakarta.
OJK. (2016). Standar Produk Musyarakah dan Musyarakah Mutanaqishah. 1–298.
OJK. (2019). Standar Produk Mudharabah. Seri 5, 1–292.
Othman, F. M., Mohd-Zamil, N. A., Rasid, S. Z. A., Vakilbashi, A., & Mokhber, M. (2016). Data envelopment analysis: A tool of measuring efficiency in banking sector. International Journal of Economics and Financial Issues, 6(3), 911–916.
Otoritas Jasa Keuangan OJK. (2020). Statistik Perbankan Syariah (SPS) 2020.
Rabbaniyah, L., & Afandi, A. (2019). Analisis efisiensi perbankan syariah di Indonesia metode Stochastic Frontier Analysis. Conference on Islamic Management, Accounting, and Economics (CIMAE) Proceeding., 2(1992), 200–211.
Rodoni, A., Salim, M. A., Amalia, E., & Rakhmadi, R. S. (2017). Comparing Efficiency and Productivity in Islamic Banking : Case Study Indonesia, Malaysia and Pakistan. Al-Iqtishad: Journal of Islamic Economics, 9(2), 227–242. https://doi.org/10.15408/aiq.v9i2.5153
Talluri, S. (2000). Data Envelopment Analysis : Models and Extensions. Decision Line, May, 8–11.