Ergonomic Working Design Model in Reducing Fatigue due to Air Traffic Control (ATC) at Kuala Namu Airport, Indonesia
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
Generally, humans can work properly and achieve optimal results when supported by good environmental conditions. The effect associated with the inconvenience of the working environment can be experienced over a prolonged period. Therefore, this study aims to determine the ergonomic working design model in reducing fatigue due to Air Traffic Control (ATC) at Kuala Namu Airport, Deli Serdang – Medan, Indonesia. This is because it is necessary to consider the physical condition or health conditions of controllers to enable the company to extend its services' life and profitability. Rapid Upper Limb Assessment (RULA) is the research method used to investigate upper limb disorders. RULA was developed as a method to detect posture, which is a risk factor. This method is designed to assess workers and determine the musculoskeletal loads likely to disrupt upper limbs. Under such conditions, the management is advised to develop 'open management' based on political will, which involves operators in every step of the improvement, because they have adequate ideas of the problems at hand. Participation in ergonomics enables employees with their supervisors and managers to apply adequate knowledge in their workplace to enhance working environment conditions.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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