9. PENGARUH PEMAHAMAN COCKPIT PROCEDURE TERHADAP EMERGENCY AND ABNORMAL SITUATIONAL AWARENESS PERSONEL ATC (STUDY KASUS AIRNAV CABANG MEDAN)
Bibliographic record
Abstract
Penelitian ini bertujuan untuk mengetahui pengaruh pemahaman cockpit procedure terhadap emergency and abnormal situational awareness bagi personel pemandu approach control surveillance di Medan approach control unit, agar mampu mempertahankan maupun meningkatkan kinerjanya dalam memberikan pelayanan pemanduan lalu lintas udara sesuai dengan rekomendasi yang telah ditetapkan oleh International Civil Aviation Organization (ICAO). Penelitian ini dilakukan di Airnav Cabang Medan, Deli Serdang, Provinsi Sumatera Utara pada bulan Maret 2019 s.d. Juli 2019. Metode penelitian yang digunakan adalah metode kuantitatif melalui penelitian survei. Populasi penelitian adalah seluruh petugas PLLU Medan approach control unit yang berjumlah 24 orang, sedangkan sampelnya menggunakan non probability sampling yaitu sensus atau total sampling dimana seluruh anggota populasi dijadikan sampel semua. Teknik pengumpulan data yang digunakan adalah dengan tes dan studi dokumentasi sedangkan teknik analisis data yang digunakan adalah korelasi Spearman Rank yang dilanjutkan dengan regresi. Penelitian menyimpulkan bahwa terdapat hubungan positif antara pemahaman cockpit procedure dan emergency and abnormal situational awareness pemandu approach control surveillance di Medan Director dengan koefisien sebesar 0,7769 dan koefisien determinasi sebesar 0,6037 artinya bahwa pemahaman cockpit procedure dan emergency and abnormal situational awareness adalah sebesar 60,37% dan selebihnya ditentukan oleh faktor-faktor lain. Dengan hasil analisis tersebut, maka perlu diadakannya program pelatihan mengenai cockpit procedure dan pertemuan antara pilot dengan ATC di approach control unit Airnav Cabang Medan.
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".