Pengaruh Kinerja Makroekonomi Dalam dan Luar Negeri terhadap Penanaman Modal Asing di Indonesia
Bibliographic record
Abstract
This paper studies the effect of domestic and foreign macroeconomy performances on the foreign direct investment (PMA) in Indonesia, employing descriptive and inferencial (econometric model) analyses. The national economic grcwth and national interest rate affect significantly PMA in Indonesia. While the national inflation rate positively effected on PMA, but resuits show that hyperinflation contributes to decreasing PMA. The macroeconomic improvement in some competitor countries, especially Chinese and Thailand tends to decrease PMA in Indonesia. However, the improvement of macroeconomies in Singapore and Malaysia can increase PMA in Indonesia. Therefore, bilateral relationship with these countries must be intensified. In addition, although the economic growth of some More Developed Countries (MDCs) has positive relationship with PMA in Indonesia, but their effect were not significant statistically, except Canada. This implies that global finance crisis, especially in USA and european countries would not largely effect on PMA in Indonesia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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; both teacher heads agree on what is shown here.
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".