Manajemen Risiko Pada Bank Pembangunan Daerah Jawa Barat dan Banten Tbk
Bibliographic record
Abstract
This study aims to identify and analyze risk management in banking, namely risk, operational risk, market risk, liquidity risk, legal risk, compliance risk, yield risk and investment risk. And to analyze the financial ratio reports for the first quarter and second quarter of 2020 at the West Java and Banten (BJB) Tbk development bank. This research uses descriptive quantitative method at PT. West Java and Banten Regional Development Bank Tbk (BJB) Tbk which are listed on the Indonesia Stock Exchange during the period 2018 to 2020. The sample in this study is PT. West Java Regional Development Bank and Banten Tbk (BJB) which are registered on the IDX and are still operating in the 2018-2020 period. Data collection tools in  this study are to use the method of observation on financial data at the bank and internet  research. The results of this study indicate the existence of smooth and bad conditions in management analysis and financial ratio analysis at BJB banks which consist of analysis of CAR, non-performing assets, CKPN, gross NPF, NPF Net, ROA, ROE, NI, NOM, BOPO, and FDR. The results of the overall calculation at PT. West Java Regional Development Bank and Banten Tbk, in the 2018-2020 period experienced an increase and decrease every year.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".