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DAYA SAING DAN FAKTOR PENENTU EKSPOR KOPI INDONESIA KE MALAYSIA DALAM SKEMA CEPT-AFTA

2016· article· id· W2578142682 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAgriekonomika · 2016
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsAgribrands Purina (Canada)
Fundersnot available
KeywordsBusinessBusiness administrationAgricultural scienceBiology

Abstract

fetched live from OpenAlex

<p>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</p>

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.377
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.005

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.

Opus teacher head0.013
GPT teacher head0.197
Teacher spread0.184 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it