Analisis Komparatif Bank Syariah Dan Bank Konvensional Pada Masa Resesi Global COVID-19
Bibliographic record
Abstract
The popularity of islamic bank has been increasing on countries with Muslims as majority of their population where Muslim consumers could fulfil their banking needs while still complying to their religious rules. Development of islamic banks started from the establishment of Bank Muamalat as the first islamic bank established in Indonesia around 1991. Few studies has shown that islamic banks in Indonesia has better robustness than conventional banks during the 1998 economic crisis. In order to verify that statement, an updated study is required with the latest data and current economic situations. Indonesia has been impacted by the COVID-19 pandemic in which yearly GDP of Indonesia shown a negative growth as the recession status has been attained in the 2nd quarter of 2020. This study is done by comparing islamic banks as well as conventional banks’ fundamentals before and during the pandemic era. It is found that islamic banks is better in overcoming economic crisis than conventional banks. Keywords: Islamic banks, conventional banks, recession, COVID-19
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".