EVALUASI KAPASITAS APRON PADA BANDAR UDARA INTERNASIONAL ACHMAD YANI SEMARANG
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
Bandar Udara Internasional Achmad Yani Semarang mengalami peningkatan pergerakan pesawat dan penumpang setiap tahunnya yang mengakibatkan perlunya evaluasi khususnya pada sisi udara untuk mengetahui kapasitas maksimum apron dan kapan apron mengalami kejenuhan. Untuk perhitungan kapasitas maksimum apron digunakan metode menurut Federal Aviation Administration (FAA) yang menggunakan data Gate Hourly Base Capacity, Gate Size Factor dan Number of Gate. Untuk mengetahui kejenuhan pada apron digunakan metode regresi eksponensial untuk mengetahui peramalan pergerakan pesawat beberapa tahun kedepan, menggunakan data peak hour 3 tahun yang lalu. Penelitian yang dilakukan pada bandar udara tersebut mempunyai kapasitas 33 operasi per jam, dan kejenuhan pada tahun 2023.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.007 |
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