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Evaluation of Office Ergonomic Risk Using Rapid Office Strain Assessment (ROSA)
Linnaeus University, School of Business and Economics, Department of Management Accounting and Logistics.ORCID iD: 000-0002-6402-3178
National Taiwan University of Science and Technology, Taiwan.
Institut Teknologi Telkom Purwokerto, Indonesia.
Universitas Muhammadiyah Riau, Indonesia.
2020 (English)In: JIEMS (Journal of Industrial Engineering and Management Systems), ISSN 1979-1720, Vol. 13, no 1, p. 47-51Article in journal (Refereed) Published
Abstract [en]

Musculoskeletal Disorders (MSDs) caused by computer use have become the most common ergonomic risks. Therisk experienced can be in the form of financial losses or even lives. Therefore, efforts are needed to prevent theoccurrence of ergonomic risks so as not to cause large losses. The Rapid Office Strain Assessment (ROSA) hasbeen designed to identify ergonomic risk factors and is reliable for the assessment of office workers' MSDs. Thisstudy evaluates the potential risk of ergonomics in female office workers because a previous study found thatMSDs were more common in women. From the two workers observed, it was found that workers 1 and 2 receiveddifferent scores on several assessment components. The different things are the length of the seat holder, armrests,spine brace, and keyboard. This difference is caused by body posture and different types of chairs. The length ofthe chair and the spinal brace is influenced by the different postures of the two workers. Worker 1 has a shorterupper leg length than worker 2, so she cannot use the backbone section of the chair. Although there are differencesin scores on some components of the assessment, both workers have the same final ROSA score, which is 5. Thisindicates that further posture assessment needs to be done using tools other than ROSA to detect the specific causeof MSDs levels.

Place, publisher, year, edition, pages
2020. Vol. 13, no 1, p. 47-51
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Economy
Identifiers
URN: urn:nbn:se:lnu:diva-127297DOI: 10.30813/jiems.v13i1.2181OAI: oai:DiVA.org:lnu-127297DiVA, id: diva2:1832884
Available from: 2024-01-30 Created: 2024-01-30 Last updated: 2024-11-07Bibliographically approved

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Jayadi, Ester Lisnati

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
  • html
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  • asciidoc
  • rtf