PENGEMBANGAN INDUSTRI CPO DAN PROSPEKNYA DIPASAR UNI EROPA
Bibliographic record
Abstract
Europe Union (UE) is a large market that has opportunities for Indonesia Crude Palm Oil (CPO) export. Share export of Indonesia CPO in UE Market is 41,2 percent. This number more consider than other development countries and other big countries, for example United States, Japan and Canada. Demand of CPO in UE market shows increasing analogous with utilization biodiesel as energy alternative. The objective of this paper to: (1) Describe production and potency of Indonesia CPO performance and (2) analisys of prospective of CPO Product performance in UE marked related with uses oils and biodisel . The analisys uses descriptive and hold winters approach method to forecast, the time series data from 1990 to 2008. Main Result of this research are (1) developing of CPO product in the future still prospective with increasing oils consumption, oils world and utilization biodisel energy. (2) share export Indonesia CPO in International market at 42 percent and tends to increase in five years latest, and (3) the projection Indonesia CPO Export in 2011 achive about 12 to 18 percent. The study suggests that government policy focused to developt of CPO and their derivative product to support export market diversiification and strengthened domestic market with development industry from off farm to absorp excess suplay CPO domestic.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".