ANALISIS PENGARUH UKURAN BANK KONVENSIONAL TERHADAP STABILITAS KEUANGAN DI INDONESIA
Bibliographic record
Abstract
Financial stability is a crucial aspect of the economic system, particularly in the banking sector, which serves as the primary intermediary institution. This study aims to analyze the effect of bank size on financial stability in Indonesia during the 2014–2023 period. Bank size is measured through total assets and Third Party Funds (DPK), while economic stability is proxied by the Z-score. The study population includes 92 conventional banks registered with the Financial Services Authority (OJK). The sample was determined using a stratified sampling method based on the Bank Group category, Core Capital (KBMI), in accordance with POJK No. 12/POJK.03/2021, resulting in 48 banks as samples. Data are in the form of quarterly financial reports from the first quarter of 2014 to the fourth quarter of 2023. The analysis was conducted using panel data regression using the Fixed Effect Model (FEM). The results show that total assets have a positive and significant effect on financial stability, while DPK has a negative and significant impact.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".