PENGARUH PERTUMBUHAN DPK, BI RATE, INFLASI, IPITERHADAP PERTUMBUHAN KREDIT PADA BANK PEMERINTAH
Bibliographic record
Abstract
The purpose of this research are to know the influence of variableare savings, deposit, demand deposit, BI rate, Inflation and the industrial production index to credit growth of government banks simultaneously and partially.The samples of this r esearch is government banks. Data in this research used secondary data and collecting menthod in this research used documentation method. The data are taken from published financial report of government banks begun from first quarter at year 2011 until sec ond quarter at year 2016. The technique of data analysis used multiple linier regression analysis.The result research show the growth of savings variable have a significant positive effect,the growth of deposit has not a significant negative effect,the gro wth of demand deposit, inflation, growth of industrial production index has not a significant positive effect, BI rate has not significant negative effect. Keyword :The growth of third party fund, BI rate, the growth of Inflation, the growth of industrial production index, Credit growth.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".