Perencanaan Penanggulangan Keadaan Darurat Transportasi Darat Bahan Kimia Butadien Rute Bojonegara - Cengkareng pada PT X Indonesia
Bibliographic record
Abstract
PT X Indonesia transports butadiene from its storage terminal in Bojonegara to processing plant in Cengkareng. This research identified potential hazard during butadiene transport, evaluate risk, and evaluate the emergency response preparedness during butadiene transport. Sample is taken from one route from Bojonegara to Cengkareng and data were obtained from observation, interview, records, reports and emergency response preparedness procedure. Qualitative and comparative analysis was conducted between existing emergency response procedures at PT X Indonesia with Manitoba Industrial Accidents Council Standards and Advisory Committee on the Transport of Dangerous Goods - Australia. Elements analysed including company policy, risk analysis, organization, facilities and equipment, emergency response steps, training and emergency drill. Results suggested that company’s policy has been set up for emergency response procedure and has been reviewed, revised, and distributed to all related parties. Risk analysis conducted using hazard identification method by reviewing Material Safety Data Saheet and Transport Emergency Card to determine butadiene toxicity, carcinogenicity, and flammability. Consequences analysis was conducted based on worst case scenario of Boiling Liquid Expanding Vapour Explosion. Emergency Response Preparedness organization was established. Accident prevention was also implemented such as tank inspection, driver’s qualification, and tank condition inspection. Emergency response equipment and facilities included fire extinguishers, safety shoes, helm, and gloves that included emergency steps, knowledge to the driver regarding emergency response. Emergency drill element should be improved, as existing drill not specific for butadiene transport emergency response. Key words : Transport emergency response, butadiene transport, hazardous materials transport
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".