Bibliographic record
Abstract
Abstract - Export is an important component in the economy of the country. The higher the country's export performance, the greater positive effect in increasing of economic growth. From 2012 to 2016, Indonesia's exports continued to decline. Considering these conditions, Indonesia needs to make a strategic effort to increase its export performance, of course. One of the efforts which can be done is conducting export development. As an agricultural country, one of potential commodities used to increase exports is cinnamon. This research will analyze the cinnamon export markets which are potentially to be developed. Moreover, this research will find out the factors that influence the export of these commodities. The methods used are RCA, EPD, X-Model, and Gravity. The result of analysis shows that cinnamon has optimistic markets to be developed in Malaysia, Canada, Netherlands, Brazil, the United States of America, and The Republic of Dominican. Meanwhile, the potential markets to be developed are the United Arab Emirates, Germany and Algeria. The factors affecting exports are gross national product per capita, population, export prices and economic distance. Keywords: EPD, Cinnamon, Gravity Model, Export Development, RCA Abstrak- Ekspor merupakan salah satu komponen penting dalam perekonomian negara. Semakin tinggi kinerja ekspor negara, semakin besar pula dampak positifnya terhadap peningkatan pertumbuhan ekonomi. Sejak tahun 2012 hingga 2016, ekspor indonesia terus mengalami penurunan. Melihat kondisi tersebut, tentunya Indonesia perlu melakukan upaya strategis untuk meningkatkan kembali kinerja ekspornya. Salah satu upaya yang dapat dilakukan adalah dengan melakukan pengembangan ekspor. Sebagai negara agraris, salah satu komoditas yang dapat digunakan untuk meningkatkan ekspor adalah kayu manis. Penelitian ini akan menganalisis pasar ekspor kayu manis yang potensial untuk dikembangkan, serta mengetahui faktor-faktor yang mempengaruhi ekspor komoditas tersebut. Metode yang digunakan adalah metode RCA, EPD, X-Model, dan Gravity. Hasil analisis menunjukkan bahwa pasar optimis untuk dikembangkan adalah Malaysia, Kanada, Belanda, Brazil, Amerika Serikat dan Republik Dominika. Sedangkan pasar yang potensial untuk dikembangkan adalah Uni Emirat Arab, Jerman dan Aljazair. Faktor-faktor yang mempengaruhi ekspor adalah produk nasional bruto per kapita, populasi, harga ekspor dan jarak ekonomi. Kata kunci : EPD, Kayu Manis, Model Gravity, Pengembangan Ekspor, RCA.
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 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.005 |
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.
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".