ELASTISITAS SUKU BUNGA TERHADAP PENYALURAN KREDIT INVESTASI PERSEKTOR EKONOMI DI KALIMANTAN BARAT
Bibliographic record
Abstract
The title of the study is Elasticity Of Interest Investment Loan Disbursement Economic Per sector in West This study aims to examine and analyze the effect of interest rates on investment loans per sector Economics in West Kalimantan and to determine the level of the interest rate elasticity of investment lending per sector economies in West Kalimantan. This study used time series data between 2007 first quarter to 2011 fourth quarter, which is a secondary data from Bank Indonesia at Banking Statistics of Indonesia. The research method using Simple Linear Regression and elasticity test. Based on the estimates, the study found that the economic sector in West Kalimantan are significant in the mining, industrial, Electricity, Gas, Water, Building, commerce, transport, services and others. While the agriculture sector is not significantly affected. Then the sectors of the economy in western Borneo is Elastic contained in the mining, industrial, Electricity, Gas, Water, Building, commerce, transport, services and others. As well as the agricultural sector is Inelastic. Keywords : Interest Rates, Economic Persector Distribution of Investment Credit in West Kalimantan.
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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 | 0.001 |
| 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".