Articles on Google by:
Peace Onya Ali
Jasper Ejovwokoghene Ikpesu*
Godwin Johuel Birma
Ibrahim, Nasiru Salmanu
Imonikosaye, Tobore
Original Research Article
Assessment of Computer users Workstation Ergonomics in Computer Village, Petroleum Training Institute, Effurun, Delta State, Nigeria
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Article Number: DRJEIT701536492
DOI: https://doi.org/10.26765/DRJEIT701536492
ISSN: 2354-4155
Vol. 9 (7), Pp. 293-304, August 2022
Copyright © 2022
Author(s) retain the copyright of this article
This article is published under the terms of the
Creative Commons Attribution License 4.0.
Abstract
This study was carried out to evaluate the workstations of Petroleum Training Institute computer village users (operators) by randomly selecting thirty shops with sixty-five operators. Statistical Packages for Social Sciences (SPSS) version 25 was used to analyze the operator’s anthropometric data, which was collected by measuring various body dimensions. The existing furniture measurements in the randomly selected 30 businesses were also measured using measuring tape, and the design was evaluated using an assessment checklist. Questionnaires were employed to assess the participant’s body locations of discomfort. This investigation discovered a misalignment between existing store furniture design and operator anthropometric data. Also, operators in this computer village of the study experienced musculoskeletal disorders with the highest prevalence of shoulder (3.02±0.779), followed by eye (3.00±0.832), lower legs (2.98±0.828), nape (2.91±0.766), fingers (2.85±0.662) and the wrists (2.56±0.998). The study hypothesis was tested with Chi-square statistics at 5% level of significance with P-value of 246.22 which falls within the acceptance region, hence accepting the Ho and rejecting the Ha. These results show that the existing furniture was planned or acquired without taking into account the user’s anthropometric data, which is why the participant developed musculoskeletal disorder. Therefore, additional research should be conducted for the development of shop furniture in accordance to the anthropometry data of the user community.
Keywords: Anthropometric, musculoskeletal, ergonomics, workstation, cognitiveReceived: July 11, 2022 Accepted: August 19, 2022 Published: August 31, 2022