Working Station Model Based on Mathematic Model of Anthropometry for Embroidery Workers

Authors

  • Asep Suryana Abdurrahmat Department of Public Health, Faculty of Health Science, Siliwangi University, Tasikmalaya, Indonesia
  • Rian Arie Gustaman Department of Public Health, Faculty of Health Science, Siliwangi University, Tasikmalaya, Indonesia
  • Yuldan Faturahman Department of Public Health, Faculty of Health Science, Siliwangi University, Tasikmalaya, Indonesia

DOI:

https://doi.org/10.3889/oamjms.2022.9638

Keywords:

Prototype, Work station, Ergonomics, Csraftsman embroidery

Abstract

BACKGROUND: Often, the embroidery craftsmen do their work by ignoring the unbalance of their anthropometric size with the size of the tables and chairs used. This condition causes not ergonomic sitting position when they are working that will trigger variety of subjective complaints of craftsmen, especially in muscles and joints.

AIM: Conducted development research using 4D model (devine, design, develop, and disseminate) based on anthropometry size to build chair and table as more ergonomic work station for embroidery craftsmen.

METHODS: The first three stages are done by analyzing the compatibility of anthropometry of the body with the size of work station used by mathematical approach and laboratory scale test. The acceptance level of craftsmen on the prototype of work station model measures by technology accepted model that conducted on a public scale.

RESULTS: The result of this research is the establishment of more ergonomic prototype of work station model for embroidery craftsmen and based on the result of public scale examination of 180 embroidered craftsmen showed that 63% of respondents stated less subjective complaints of muscle and joint disorders at the shoulders, 71% subjective complaints of muscle and joint disorders in the upper arm, and respondents stated reduced subjective complaints of muscle and joint disorders in the 56% after using a new work station model.

CONCLUSION: However, it is still necessary to make improvements to the prototype of the work station model to be more ergonomic and to suppress the emergence of subjective complaints of muscle disorders and joints of embroidery craftsmen.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Plum Analytics Artifact Widget Block

References

Darusman Y. The local wisdom of Tasikmalaya embroidery in the creative economy for the modern era (study in Tasikmalaya City, West Java). Int J Innov Creat Chang. 2019;9:278-94.

Widjajani DS. Small Industry Cluster Potential. SOSIOHUMANITAS; 2012;XIV. Available from: https://lemlit.unla.ac.id/wp-content/uploads/2019/12/3.-WidjajaniDede-POTENSI-KLASTER-INDUSTRI-KECIL.pdf [Last accessed on 2022 Apr 04].

Upasana VD. Work posture assessment of tailors By RULA and REBA analysis. Int J Sci Environ Technol. 2017;6:2469-74.

Vinay U, Vinay D. Ergonomic Assessment of Work Pattern and Related Musculoskeletal Discomfort Among Tailors. Int J Sci Environ Technol. 2019;8:867-73.

van Niekerk SM, Louw QA, Hillier S. The effectiveness of a chair intervention in the workplace to reduce musculoskeletal symptoms. A systematic review. BMC Musculoskelet Disord. 2012;13:145. https://doi.org/10.1186/1471-2474-13-145 PMid:22889123 DOI: https://doi.org/10.1186/1471-2474-13-145

Taifa IW, Desai DA. Anthropometric measurements for ergonomic design of students’ furniture in India. Eng Sci Technol. 2017;20:232-9. DOI: https://doi.org/10.1016/j.jestch.2016.08.004

Widana IK, Sumetri NW, Ketut Sutapa I. Ergonomic Work Station Design to Improve Workload Quality and Productivity of the Craffsmen. J Phys Conf Ser. 2018;953:012091. https://doi.org/10.1088/1742-6596/953/1/012091 DOI: https://doi.org/10.1088/1742-6596/953/1/012091

Muralidaran M, Arun V, Sedhu Siddarth AK. Ergonomic considerations for design of industrial workstation. Int Res J Eng Technol. 2019;4 (10):276-281.

Echezona ND, Nwanneka CO, Blessing CA. Ergonomic evaluation and the predictors of occupation related musculoskeletal disorders among tailors in Enugu Metropolis. J Niger Soc Physiother. 2021;20:33-41. https://doi.org/10.5897/JNSP20210010 DOI: https://doi.org/10.5897/JNSP2021.0010

Blackler A, Brophy C, O’Reilly M, Chamorro-Koc M. Seating in aged care: Physical fit, independence and comfort. SAGE Open Med. 2018;6:1-17. https://doi.org/10.1177/2050312117744925 PMid:29326817 DOI: https://doi.org/10.1177/2050312117744925

Mul JD, Stanford KI, Hirshman MF, Goodyear LJ. Exercise and regulation of carbohydrate metabolism. Prog Mol Biol Transl Sci. 2015;135:17-37. https://doi.org/10.1016/bs.pmbts.2015.07.020 PMid:26477909 DOI: https://doi.org/10.1016/bs.pmbts.2015.07.020

Hargreaves M, Spriet LL. Skeletal muscle energy metabolism during exercise. Nat Metab. 2020;2:817-28. https://doi.org/10.1038/s42255-020-0251-4 PMid:32747792 DOI: https://doi.org/10.1038/s42255-020-0251-4

Baker JS, McCormick MC, Robergs RA. Interaction among skeletal muscle metabolic energy systems during intense exercise. J Nutr Metab. 2010;2010:905612. https://doi.org/10.1155/2010/905612 PMid:21188163 DOI: https://doi.org/10.1155/2010/905612

Wan JJ, Qin Z, Wang PY, Sun Y, Liu X. Muscle fatigue: General understanding and treatment. Exp Mol Med. 2017;49(10):e384. https://doi.org/10.1038/emm.2017.194 PMid:28983090 DOI: https://doi.org/10.1038/emm.2017.194

Joyner MJ, Casey DP. Regulation of increased blood flow (hyperemia) to muscles during exercise: A hierarchy of competing physiological needs. Physiol Rev. 2015;95:549-601. https://doi.org/10.1152/physrev.00035.2013 PMid:25834232 DOI: https://doi.org/10.1152/physrev.00035.2013

Ishii H, Nishida Y. Effect of lactate accumulation during exerciseinduced muscle fatigue on the sensorimotor cortex. J Phys Ther Sci. 2013;25:1637-42. https://doi.org/10.1589/jpts.25.1637 PMid:24409038 DOI: https://doi.org/10.1589/jpts.25.1637

Wright AJ, Husson ZM, Hu DE, Callejo G, Brindle KM, Smith ES. Increased hyperpolarized [1-13C] lactate production in a model of joint inflammation is not accompanied by tissue acidosis as assessed using hyperpolarized 13C-labelled bicarbonate. NMR Biomed. 2018;31(4):e3892. https://doi.org/10.1002/nbm.3892 PMid:29380927 DOI: https://doi.org/10.1002/nbm.3892

Downloads

Published

2022-05-13

How to Cite

1.
Abdurrahmat AS, Gustaman RA, Faturahman Y. Working Station Model Based on Mathematic Model of Anthropometry for Embroidery Workers. Open Access Maced J Med Sci [Internet]. 2022 May 13 [cited 2024 Nov. 23];10(E):965-70. Available from: https://oamjms.eu/index.php/mjms/article/view/9638

Issue

Section

Public Health Disease Control

Categories