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<http://digilib.unila.ac.id/id/eprint/76647> <http://purl.org/dc/terms/title> "ANALISIS KESEHATAN PERBANKAN SEBELUM DAN SELAMA\r\nCOVID 19: PERBANDINGAN PERBANKAN KBMI I, II, III, DAN IV \r\nDENGAN METODE RGEC "^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.unila.ac.id/id/eprint/76647> <http://purl.org/ontology/bibo/abstract> "Penelitian ini bertujuan untuk mengetahui kondisi kesehatan sektor perbankan\r\nsebelum dan selama pandemi covid-19. Penulis menggunakan data laporan\r\nkeuangan bank pada Kelompok Bank berdasarkan Modal Inti (KBMI) satu\r\ndampai empat dengan periode 2018-2021. Penelitian ini termasuk dalam\r\npenelitian deskriptif kuantitatif untuk menilai kesehatan sektor perbankan yang\r\nmelakukan publikasi laporan tahunan pada website masing-masing bank. Data\r\ndianalisis menggunakan model RGEC (Risk Profile, Good Corporate\r\nGovernance, Earning, Capital) yang mengukur aspek profil risiko, tata kelola\r\nperusahaan, profitabilitas dan kecukupan modal. Hasil penelitian menyimpulkan\r\nbahwa setelah menilai semua aspek RGEC, disimpulkan pada bank KBMI 1, 3,\r\ndan 4 terdapat perbedaan signifikan antara NPL perbankan sebelum dan selama\r\ncovid-19 sedangkan GCG, ROA, dan CAR tidak ada perbedaan. Bank KBMI 2\r\ntidak terdapat perbedaan signifikan antara NPL, GCG, ROA, dan CAR perbankan\r\nsebelum dan selama covid-19. Rasio NPL yang digunakan untuk mengukur resiko\r\nkredit atau pembiayaan yang diberikan kepada pihak ketiga menunjukkan tidak\r\nterdapat perbedaan antara rata-rata rasio NPL di masa sebelum dan selama covid19.\r\n\r\nHal ini dikarenakan pada masa awal pandemi covid-19, nasabah tidak\r\nmemiliki kecukupan dana untuk membayar angsuran pinjaman sehingga kasus\r\ngagal bayar atau penundaan pembayaran mengalami peningkatan. \r\n\r\nKata Kunci: Covid-19, KBMI, Kesehatan Bank, dan RGEC. \r\nThis study aims to determine the health condition of the banking sector before and \r\nduring the Covid-19 pandemic. The author uses bank financial report data for\r\nBank Groups based on Core Capital (KBMI) one to four for the 2018-2021\r\nperiod. This research is included in the quantitative descriptive research to assess\r\nthe health of the banking sector which publishes annual reports on the website of\r\neach bank. Data were analyzed using the RGEC model (Risk Profile, Good\r\nCorporate Governance, Earning, Capital) which measures aspects of risk profile,\r\ncorporate governance, profitability and capital adequacy. The results of the study\r\nconcluded that after assessing all aspects of RGEC, it was concluded that at\r\nKBMI 1, 3 and 4 banks there were significant differences between banking NPLs\r\nbefore and during Covid-19 while there were no differences in GCG, ROA and\r\nCAR. Bank KBMI 2 has no significant differences between banking NPL, GCG,\r\nROA, and CAR before and during Covid-19. The NPL ratio used to measure\r\ncredit risk or financing provided to third parties shows no difference between the\r\naverage NPL ratio before and during Covid-19. This is because in the early days\r\nof the Covid-19 pandemic, customers did not have sufficient funds to pay loan\r\ninstallments so that cases of default or delays in payment increased. \r\n\r\nKeywords: Bank Health, Covid-19, KBMI, and RGEC. "^^<http://www.w3.org/2001/XMLSchema#string> .
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