ANALISIS PERBANDINGAN KINERJA KEUANGAN PADA BANK UMUM SYARIAH SEBELUM DAN SESUDAH MELAKUKAN SPIN-OFF (STUDI PADA BANK BTPN SYARIAH)
Bibliographic record
Abstract
This study aims to determine whether there are differences in the performance of Public Islamic Bank (BTPN Syariah) before and after spin-off. The financial ratios used are CAR (Capital Adequancy Ratio), NPF (Non Performing Finance), FDR (Financing to Desposit Ratio), BOPO (Operating Expenses to Operating Income), and ROA (Return On Asset). The research method used in this research is descriptive comparative. Type of data used is secondary data in the form of quarterly financial statement of BTPN Syariah, quarter 1 2011 until with quarter 3 2014 for data before spin-off and quarter 4 2014 for data after spin-off. Data analysis was done by using Normality Test and Paired Sample T-Test. Data is processed by using SPSS (Statistical Pakage for Social Science) 25th version. The results of this study showed that at the ratios of BOPO there is no difference between before and after spin-off. While in the ratios of CAR, NPF, FDR and ROA there are difference between before and after spin-off
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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 | 0.001 | 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) | 0.006 | 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".