Assessment of Quality and Chemical Composition of Cajuput Oil from Moluccas and Papua
Bibliographic record
Abstract
Melaleuca leucadendron Linn is a type of cajuput oil producer was found in the Moluccas are mostly on the Buru Island and West Seram, while Asteromyrtus brasii is a type that is found in Wasur National Park, Merauke, Papua. The main product of cajuput plants is cajuput oil that obtained from distillation of cajuput leaves. The main markets for cajuput oil include The United States, Japan, Singapore, France and the Netherlands. This study aims to decide on the chemical content and physical properties of cajuput oil that distilled from Melaleuca leucadindron leaves from Moluccas and A. brasii which grow in meet Wasur National Park. Analysis of the chemical content of essential oils was carried out using the Gas Chromatography and Mass Spectrometer method. Physical properties analysis was carried out using the method according to SNI 06-3954-2006. The test results showed that the quality of cajuput oil from Melaleuca leucadendron the SNI 06-3954-2006 standard, while type A. brasii did not meet the quality requirements based on SNI 06-3954-2006. The results obtained from the test using the GCMS method showed that there were 26 peaks with the highest peak being 1.8 cineole. The content of 1.8 cineole from Central of Moluccas at 55.22%, Buru Island at 61.69%, West Barat at 70.22% and Wasur National Park at 34.88%.
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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 | 0.000 |
| 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) | 0.001 | 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 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".