Evaluation of work posture in sohun noodles workers using OWAS and WERA method

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Abstract

ct: The research was conducted on the process of making Sohun Noodle in Klaten, Central Java. The manufacturing process was carried out by five workers at four work stations with 18 activities. The purpose of this study was to observe, evaluate and analyze the worker posture using The Ovako Working Analysis System (OWAS) and The Workplace Ergonomic Risk Assessment (WERA) method. The steps of the study using the OWAS method are: taking a picture of work posture, identifying the weight of the load, the process of assessing work posture, and categorizing risks. The steps of the research using the WERA method are: taking pictures of work postures, identifying body postures on the neck, shoulders, back, wrists and legs, identifying weight loads, duration of work, vibrations, contact stress, identifying risk factors, assessing work postures, and categorizing risks. The next step is processing statistical data, namely: normality test, comparative test, and correlation test using Statistical Package for the Social Science (SPSS) Version 21.0 for parts shoulders/arms, back, legs posture, weight/strength. The result of the OWAS method shows that there are two very risky activities and needs improvement now, i.e. the activity of inserting zinc into a press machine, and the activity of putting zinc containing sohun noodle into first drying. The result of the WERA method indicates that all activities are included in the medium level actions so that further investigation and change is needed. The results of statistical tests using SPSS Version 21.0 are: a comparative test on shoulders/arms and back there is a significant difference and in legs posture and weight / strength there is no significant difference. Whereas in the correlation test for shoulders/arms, back, and weight / strength there is a significant correlation between the OWAS and WERA methods.

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Pratiwi, I., Munfi’ah, Fitriadi, R., & Sufa, M. F. (2019). Evaluation of work posture in sohun noodles workers using OWAS and WERA method. International Journal of Innovative Technology and Exploring Engineering, 8(11), 1788–1793. https://doi.org/10.35940/ijitee.K1767.0981119

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