STUDI EMPIRIS PENGARUH HARGA MINYAK MENTAH DUNIA DAN VARIABEL MONETER TERHADAP PEREKONOMIAN INDONESIA PERIODE 1996-2018
Bibliographic record
Abstract
Oil is one of the strategic energies in the economy. The fluctuations will always be a favorite barometer of economists and world leaders. Therefore, this study aims to convert deeper into the world and monetary variables towards the Indonesian economy for the period 1996-2018. This study uses secondary data from the IMF and BPS. Variables are economic growth, oil prices, and interest rates. Perform the analysis carried out, namely descriptive analysis using Images and inferential analysis with Vector Error Correction Mechanism (VECM). The results of this study are common in the context of economic growth. Meanwhile, there is no economic growth. Meanwhile, at that time economic growth was influenced by economic growth in the first quarter, second and third quarter, growth in oil prices in the previous quarter, and economic growth in the previous quarter. The average value of ECT produced is negative and significant.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".