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Record W4387108238 · doi:10.18280/jesa.560419

Ergonomic Chair Design as a Solution to Musculoskeletal Disorders among Traditional Cobblers: An Anthropometric Study

2023· article· en· W4387108238 on OpenAlexvenueno aff
Julianus Hutabarat, Johan Alfian Pradana, Iftitah Ruwana, Diah Wilis Lestarining Basuki, Sanny Andjar Sari, Renny Septiari

Bibliographic record

VenueJournal Européen des Systèmes Automatisés · 2023
Typearticle
Languageen
FieldPsychology
TopicErgonomics and Musculoskeletal Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsAnthropometryHuman factors and ergonomicsPhysical therapyEngineeringMedicinePsychologyEnvironmental healthPoison controlInternal medicine

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.921
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.003

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.

Opus teacher head0.047
GPT teacher head0.325
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal Européen des Systèmes AutomatisésSame topicErgonomics and Musculoskeletal DisordersFrench-language works237,207