RISK ANALYSIS LEVELS OF MUSCULOSKELETAL DISORDERS (MSDs) IN CONVECTION WORKERS BANGSRI VILLAGE, KARANGPANDAN

Authors

  • ipop Sjarifah Program studi D4 Keselamatan dan Kesehatan Kerja FK UNS
  • eka rosanti universitas darussalam gontor

DOI:

https://doi.org/10.21111/jihoh.v3i2.2835

Abstract

Indonesia consists of formal (46,4%) and informal workers (53,6%). Informal sector industry has a role contributes to the national economy. Nowadays the informal sector industry does not get maximal attention in terms of occupational safety and health especially on musculoskeletal disorders by repetitive workers. The aim of this study is to analysis levels of musculoskeletal disorders in convection workers. This study used an observational analysis method with cross-sectional approach and the subject was the woman with 32 workers in Bangsri village, Karangpandan. The assessment of MSDs was used Nordic Body Map and Rapid Entire Body Assessment for work posture. The results showed that work period (0,034) and work posture (0,012) correlated significantly with Musculoskeletal disorders. Age, work period and work posture explains 47,1% of MSDs and the remaining 52,9% was explained by other variables that not included in this research. The conclusion of this research is 62,5% workers (20 people) experienced high levels of MSDs dan 37,5% workers (12 people) experienced moderate levels of MSDs. Exercise can reduce the risk of MSDs around the shoulder. Keywords: Musculoskeletal disorders, REBA, nordic body map, convection, risk factors

Author Biography

ipop Sjarifah, Program studi D4 Keselamatan dan Kesehatan Kerja FK UNS

Program studi D4 Keselamatan dan Kesehatan Kerja FK UNS

References

Ahmad SA, Sayed M ,Khan MH, Faruquee M, Yasmin N, Hossain Z, et al. 2007. Musculoskeletal Disorders and Ergonomic Factorsamongthe Garment Workers. Journal of Preventive and Social Medicine. Vol. 26(2): 97-110.

Choobineh A, Tabatabaei SH, Mokhtarzadeh A, Salehi M. 2007. Musculoskeletal problems among workers of an Iranian rubber factory. Journal of occupational health. Vol. 49 (5): 418-23.

Jahan N, Das M, Mondal R, Paul S, Saha T, Akhtar R, et al. 2015. Prevalence of Musculoskeletal Disorders amongthe Bangladeshi Garments Workers. SMU Medical Journal. Vol. 2(1).

Khandan M, Mosaferchi S, Koohpaei A. 2017. Assessing Exposure to Risk Factors for Work-related Musculoskeletal Disorders Using ART method in a Manufacturing Company. Journal of Hygiene Sciences. Vol. 6(3): 259-267.

Mutiah, dkk. 2013. Analisis Tingkat Risiko Musculoskeletal Disorders (MSDs) Dengan The BriefTM Survey Dan Karakteristik Individu Terhadap Keluhan MSDs Pembuat Wajan Di Desa Cepogo Boyolali. Jurnal Kesehatan Masyarakat. Vol. 2 (2).

Pratama D.N. 2017. Identifikasi Risiko Musculoskeletal Disorders (MSDs) Pada Pekerja Pandai Besi. The Indonesian Journal of Occupational Safety and Health. Vol. 6 (1): 78-87.

Rasotto C, Bergamin M, Sieverdes JC, Gobbo S, Alberton CL, Neunhaeuserer D, et al. 2015. A Tailored workplace exercise program for women at risk for neck and upper limb musculoskeletal disorders: A randomized controlled trial. Journal of Occupational and Environmental Medicine. Vol. 57(2):178-183.

Setyaningsih, dkk. 2017. Analisis Tingkat Risiko Ergonomi Menggunakan Metode Reba Terhadap Keluhan Msds Pada Pengrajin Batik Di Nisya Batik, Kuningan. Jurnal Kesehatan Masyarakat. Vol. 5 (2): 106-113.

Silverstein B, Bao S, Fan Z, Howard N, Smith C, Spielholz P, et al. 2008. Rotator cuff syndrome: personal, work-related psychosocial and physical load factors. Journal of Occupational and Environmental Medicine. Vol. 50 (9): 1062-76.

Stanton N, Hedge A, Brookhuis K, Salas E, Hendrick H. 2005. Handbook of Human Factors and Ergonomics Methods. New York: CRC Press LLC.

Tarwaka. 2004. Ergonomi. Surakarta: UNIBA PRESS.

Zamanian, dkk. 2014. Risk Assessment of Musculoskeletal Disorders and Determination of the Associated Factors among Workers of a Dairy Products Factory. Journal Of Health Sciences and Surveillance System. Vol 2 (4): 134-139.

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Published

2019-05-01

Issue

Vol. 3 No. 2 (2019): Optimise The Collection and Use of Occupational Safety and Health Data

Section

Articles