ANALISIS EFISIENSI PERBANKAN DI NEGARA ASEAN TAHUN 2006 – 2020
Bibliographic record
Abstract
This study aims to find out the efficiency of banking in asean countries as measured in indicators: Bank Indonesia the central bank/bi decided to raise its benchmark interest rate by 25 basis points to 8.25 percent in the second quarter of 2008 to 8.25 percent in the second quarter of this year. The data used in this study took from the world bank website as well as the financial services authority with a sample of nine Banks in asean state. The method of analysis used in this study USES multiple regression analysis. The results on this study are CAR significant positive effects on ROA, LDR has significant positive effects on ROA, BOPO has significant negative effects on ROA, PE has insignificant positive effects on ROA, INF has significant positive effects on ROA.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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 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".