Ergonomic Chair Design as a Solution to Musculoskeletal Disorders among Traditional Cobblers: An Anthropometric Study
Bibliographic record
Abstract
This study was undertaken with the aim of engineering an ergonomic chair tailored specifically for cobblers in the Malang Regency, taking into account anthropometric measurements, the Nordic body map, and the Rapid Upper Limb Assessment method.Musculoskeletal disorders, often resulting from prolonged sitting and incorrect posture, represent significant occupational hazards for them.To mitigate these health risks, the study employed the analysis of Nordic body maps to quantify complaints based on body points, and determined anthropometric dimensions to guide the design of ergonomically correct chairs.The aspiration is that the findings of this study will diminish the prevalence of musculoskeletal disorders, while enhancing the productivity and work quality of cobblers.Cobblers are particularly susceptible to musculoskeletal disorders in the waist and left calf areas, along with the back, hips, right thigh, right calf, left foot, and right foot.Insights gleaned from the Nordic body maps analysis and Rapid Upper Limb Assessment method demonstrated the need for modifications to the traditional cobbler chair to reduce these risks.Consequently, an innovative ergonomic chair was designed, incorporating anthropometric dimensions and several distinctive features, including an adjustable tilt angle on the backrest, a height-adjustable seat base, and a seat base that conforms to the load conditions of the buttocks and thighs.
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How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".