KEBUTUHAN FREKUENSI PENERBANGAN RUTE JAKARTA – JOGYAKARTA – JAKARTA PT INDONESIA AIR ASIA
Bibliographic record
Abstract
PT. Indonesia Air Asia is one of the Indonesia national flight company which is using Airbus 320-200 and Boeing 737 – 300 for route Jakarta – Yogyakarta – Jakarta. The problem of the research is the high frequency of the flight based on the number of passengers on that route. Using two methods; field and library research and analyzed by market share analysis, linear trend, seat load factor (SFL), to find out the needs of flight frequency, the number of passengers, and diagram rotation. The result shows that there is an addition to the number of passengers and flight frequency of the route. Based on the analysis, Y = a+bX, the fluctuation trend pax on the first quarter route Jakarta – Yogyakarta is 68 % and on the second quarter route Yogyakarta – Jakarta is 67 %. For SFL, route Jakarta – Yogyakarta in the third quarter is 86 % dan the opposite route is 80 %.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.078 | 0.023 |
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".