Analisa Dampak Kebijakan Pemerintah Terhadap Kinerja Keuangan Bank Umum Syariah di Indonesia Pada Era Pandemi Corona Virus Disease-19
Bibliographic record
Abstract
The purpose of this study is to analyze the impact of government policies on financial performance at Islamic Commercial Banks in Indonesia during the period January to September 2020. The sample used in this study is Islamic Commercial Banks that have been registered in Indonesia with a research population of a number of 5 Sharia Bank. The author uses descriptive quantitative research methods with the variable Financing Deposit Ratio (FDR), Non-Performing Financing (NPF) during the COVID-19 pandemic. The results showed that the financing deposit ratio in Islamic commercial banks in the first and second quarters had an average increase, meaning that financial health declined along with government policy from implementing PSBB to New Normal. Meanwhile, in the third quarter it has experienced a decrease of close to 75% so that it can be concluded that financial health is more stable. The results show that non-performing financing at Islamic commercial banks tends to be more stable, so it can be said that Islamic Commercial Banks in the COVID-19 pandemic era tend to be healthy.
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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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".