Analisis Simpanan Deposito Mudharabah Pada Bank Syariah di Indonesia
Bibliographic record
Abstract
Mudharabah deposits are one of the facilities of sharia banking institutions that allow a person to obtain funds in accordance with a predetermined period of time. This research is intended to explain how the effect of Profit Sharing Ratio, Gross Domestic Product, Liquidity, and Inflation Rate Deposits Deposit Mudharabah Bank Syariah in Indonesia. Data used in this research is panel data that is with a period of 2013 quarter 1 until 2016 quarter 4. The method of analysis used in this research is multiple linear regression analysis by using panel data. Based on the results of this study simultaneously variable of Profit Sharing Ratio, Gross Domestic Product, Liquidity Level and Inflation Significant to Deposits Mudharabah Deposit with probability value 0.0000. Profit Sharing Ratio is Positive and Significant to Deposits Mudharabah Deposits, with regression value of 0.24040 and probability 0.0000. Gross Domestic Product has a positive and significant effect on Deposit Mudharabah Deposit with value. 0.971746 and the probability value is 0.0000. The ratio of Financing to Deposit Negative Ratio to Significant to Deposit Mudharabah Deposit, with a passing value of -0.011156 and probability value 0.0005. While inflation is negative and not significant with the value of -0.008359 and probability value 0.1779.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".