EVALUASI KAPASITAS TERMINAL PENUMPANG DOMESTIK BANDAR UDARA BANYUWANGI, JAWA TIMUR
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.008 |
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 it