RANCANGAN SIMULASI PENGUKURAN PARAMETER NON DIRECTIONAL BEACON (NDB) LWX 100 A MENGGUNAKAN ARDUINO UNO BERBASIS WEBSITE
Bibliographic record
Abstract
Non Directional Beacon (NDB) adalah fasilitas navigasi penerbangan yang bekerja dengan menggunakan frekuensi rendah (low frequency) dan dipasang pada suatu lokasi tertentu di dalam atau di luar lingkungan bandar udara. NDB memancarkan informasi dalam bentuk sinyal gelombang radio ke segala arah melalui antena, sinyalnya akan diterima oleh pesawat udara yang dilengkapi Automatic Direction Finder (ADF) yaitu perangkat penerima NDB yang ada di pesawat udara, sehingga penerbang dapat mengetahui posisinya (azimuth) relatif terhadap lokasi NDB tersebut. Di Politeknik Penerbangan Surabaya khususnya di Laboratorium Navigasi terdapat sebuah Non Directional Beacon (NDB) dengan tipe LWX 100 A buatan SPILSBURY COMMUNICATION asal Canada dengan daya pancar 100 Watt. LWX 100 A memiliki beberapa kelebihan yaitu rangkaiannya yang sederhana dan portable. Selain kelebihan, LWX 100 A juga memiliki beberapa kekurangan yaitu tampilan parameter yang sederhana dan tidak lengkap. Rancangan ini dibuat dengan tujuan sebagai tampilan untuk mempermudah pengguna dalam monitoring NDB LWX 100 A melalui website, dan memberi informasi parameter (tegangan dc, frekuensi, tegangan AC , daya, dan suhu) secara lengkap dan akurat.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 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".