DAYA SAING DAN FAKTOR PENENTU EKSPOR KOPI INDONESIA KE MALAYSIA DALAM SKEMA CEPT-AFTA
Bibliographic record
Abstract
CEPT-AFTA dapat menjadi peluang untuk meningkatkan ekspor kopi Indonesia ke Malaysia, namun dalam perkembangannya ekspor kopi Indonesia ke Malaysia fluktuatif. Penelitian ini bertujuan menganalisis daya saing dan faktor penentu ekspor kopi Indonesia ke Malaysia dalam skema CEPT-AFTA. Metode yang digunakan yaitu Revealed Comparative Advantage (RCA) untuk menganalisis daya saing ekspor kopi Indonesia di pasar Malaysia dan metode regresi linier berganda untuk menganalisis faktor-faktor yang mempengaruhi ekspor kopi Indonesia ke Malaysia. Hasil dari analisis RCA menunjukkan bahwa kopi Indonesia di Pasar Malaysia memiliki daya saing (nilai RCA>1) namun mengalami penurunan daya saing setelah diberlakukannya CEPT-AFTA. Hasil estimasi analisis regresi linier berganda menunjukkan bahwa faktor-faktor yang mempengaruhi ekspor kopi Indonesia ke pasar Malaysia adalah produksi kopi Indonesia, harga ekspor kopi Indonesia ke Malaysia, dan nilai tukar rupiah terhadap dollar Amerika. Sedangkan nilai RCA dan dummy CEPT-AFTA tidak berpengaruh
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".