EVALUASI KAPASITAS TERMINAL PENUMPANG DOMESTIK BANDAR UDARA BANYUWANGI, JAWA TIMUR
Bibliographic record
Abstract
Bandara Banyuwangi mengalami peningkatan jumlah penumpang yang tinggi karena potensi pariwisata yang menarik wisatawan. Maka, perlu dilakukan evaluasi untuk mengetahui apakah luas aktual terminal di Bandara Banyuwangi mampu menampung pergerakan penumpang pada waktu sibuk, mengetahui nilai dari LOS sesuai standar IATA serta memperkirakan pertumbuhan penumpang untuk mengetahui kapan terminal bandara ini akan mengalami kejenuhan sehingga dapat mengantisipasi sebelum mengalami kejenuhan. Kesimpulannya dengan jumlah PWS yang ada, terminal Bandara Banyuwangi mampu menampung pergerakan penumpang. Hasil dari LOS bandara ini masuk dalam kriteria sangat baik dilihat dari aspek luasan terminal.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.003 |
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".