ANALISIS PERMINTAAN DEPOSITO BERJANGKA PADA BANK UMUM DI INDONESIA
Bibliographic record
Abstract
The research was aimed to see how far a variable can affect demand deposits (rupiah) at commercial banks in Indonesia. The variables are referred to national income (GDP), the deposit rate on average, exchange rate of rupiah against the dollar, and Return. The research data was started in 2004 First Quarter 2009 until the fourth quarter. Results of data processing with the aid of software (software) computer Eviews 3.0 shows that the results of this study together (simultaneously) a significant difference between the national income (GDP), the deposit rate on average, exchange rate rupiah, and Return stock with demand deposits (rupiah) in a commercial bank that is equal to 341.9158. Individually (partially) also have significant influence between national income (GDP) by demand deposits (rupiah) with commercial banks that is equal to 2.634759. Deposit rates with the average demand deposits (rupiah) in a commercial bank that is equal to 3.709292. The exchange rate rupiah with demand deposits (rupiah) in a commercial bank that is equal to 2.112905. Return stock to demand deposits (rupiah) to commercial banks amounted to 2.354780.
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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 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".