Pengaruh Pembiayaan Mudharabah, MusyarakahDan Non Performing Financing (NPF) TerhadapProfitabilitas (ROE) Pada Bank Umum Syariah Di Indonesia
Bibliographic record
Abstract
This study aimed to test whether a variable Mudaraba, Musharaka financing and Non Performing Financing (NPF) Influence To Profitability In Syriah Commercial Bank in Indonesia. The sample used in this study is Bank Sharia which displays quarter financial statements during the period 2010-2014. The analysis in this study using multiple linear regression analysis to t Refineries on the data in this study using SPSS 16.0 (Statistical Package For The Social Science). Based on the results of the calculations on simultaneous test values obtained Fcount 10.945 and the value of P-Value (0,000), Value P-Value Performing Financing (NPF) significant effect on profitability, while partially on Financing Mudhabah (0.05), the Musharaka financing variable has no effect on the profitability of Islamic Banks with tcount significant impact on profitability is negative with tcount (0.05).
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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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".