| Autor: |
Irham Dzakiyyuddin Muhammad Fatih, Soewardi Hartomo, Maharani Erika Ariana, Tanjung Ar Royyan Utama |
| Jazyk: |
English<br />French |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
SHS Web of Conferences, Vol 189, p 01034 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2261-2424 |
| DOI: |
10.1051/shsconf/202418901034 |
| Popis: |
Work posture and/or position of work is a crucial problem in work system. Unnatural posture will lead to discomfort when doing the task such as pain at part of body such that it will cause accident in the end. This accident will affect level of work performance of the worker so as the work productivity fails achieve a target determined. The failure mode, of course, results in a big loss for a company. This state should be avoided by use of the natural posture by worker in completing a job. However, many workers do not still understand what kind of a natural and unnatural work posture directly. So, this condition has high risk for being occurred the discomfort. Thus, it is important to develop a tool for helping them to identify a certain posture of work. Objective of this study is to design a monitoring system devices to capture and to determine an natural posture of the worker based on ergonomic principles. Rapid Upper Limb Assessment method is applied to determine a risk of work posture. Machine Learning concept is implemented to support in designing a system by also applying python programming language. Result of this study shows that monitoring system devices developed is usable in informing an unnatural posture of worker in completing a job. Thus, this result will beneficial for worker to improve work posture to be natural position so as discomfort can be prevented. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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