Determinants of Production, International Trade Price Index (IHPI) and the Rupiah Exchange Rate on Indonesian Palm Oil Exports in 2007-2021
Bibliographic record
Abstract
This research is motivated by the export of palm oil from Indonesia to Malaysia where there are inconsistencies in the determinants that affect the value of exports which can be seen from the number of production levels, the international trade price index (IHPI) and the rupiah exchange rate. speed. This shows the need for research. more about palm oil exports. In this study aims to determine, analyze, explain the influence of Indonesian palm oil exports to Malaysia. The type of research used is quantitative research supplemented by data for the period 2007 to 2021 sourced from the Central Bureau of Statistics (BPS). The data analysis technique used in this study is the Multiple Regression test which includes the Classical Assumption Test, and the Hypothesis Test. The results of the two tests show that in terms of production volume, the International Trade Price Index (IHPI) tends to be positive and not significant, while the rupiah exchange rate tends to be negative and not significant. This means that Indonesian palm oil exports to Malaysia have increased and decreased unbalanced, so these export activities require a strategy that can emphasize export figures by providing information to domestic and foreign investors, both private and government agencies, to pay more attention to several governments.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; a candidate call from one teacher head, 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".