The Impact of COVID-19 Pandemic on Financial Performance of Islamic Banking in Indonesia
Bibliographic record
Abstract
This study evaluates the financial performance of Islamic banking in Indonesia during the Coronavirus pandemic by looking at the financial accounts of chosen Islamic banks.The variables of the study include NPF, FDR, CAR, ROA, and ROE.This quantitative examination utilized a comparative-analytical approach.Samples utilized were 5 Islamic full-pledged banks in the country.Financial reports before the pandemic (the fourth quarter of 2019 and the first quarter of 2020) and after the pandemic (the fourth quarter of 2020 and the first quarter of 2021) were investigated.The data then examined with a paired sample t-test utilizing the SPSS program.The results of the study indicated that the Coronavirus pandemic doesn't influence the financial performance of Islamic banking in this country.It is showed by the outcomes of the paired sample t-test of the variables under study, in which NPF, FDR, CAR, ROA, and ROE do not exhibit any substantial difference in the Islamic banking industry performance both before and after the Coronavirus pandemic.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".