Proceedings of the U-Go Healthy International Conference, U-Go Healthy 2020, 29 March 2020, Pacitan, East Java, Indonesia

Research Article

Analyze of Fatigue Related Vibration and Noise Exposure in Weaving Departement at PT. IDtex

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  • @INPROCEEDINGS{10.4108/eai.29-3-2020.2314909,
        author={Seviana  Rinawati},
        title={Analyze of Fatigue Related Vibration and Noise Exposure in Weaving Departement at PT. IDtex},
        proceedings={Proceedings of the U-Go Healthy International Conference, U-Go Healthy 2020, 29 March 2020, Pacitan, East Java, Indonesia},
        publisher={EAI},
        proceedings_a={U-GO HEALTHY},
        year={2022},
        month={9},
        keywords={vibration noise weaving machine fatigue},
        doi={10.4108/eai.29-3-2020.2314909}
    }
    
  • Seviana Rinawati
    Year: 2022
    Analyze of Fatigue Related Vibration and Noise Exposure in Weaving Departement at PT. IDtex
    U-GO HEALTHY
    EAI
    DOI: 10.4108/eai.29-3-2020.2314909
Seviana Rinawati1,*
  • 1: Occupational Health and Safety Programe, Sebelas Maret University, Ir. Sutami 36A,Kentingan,Surakarta Indonesia
*Contact email: sev1ana_er@staff.uns.ac.id

Abstract

Machinery and mechanical work equipment cause vibrations which channel some power to the worker's body, objects in the workplace and the environment. Vibration and noise from weaving machines at PT. IDtex causes a resonance of organs and body tissues, leading to fatigue on workers. The purpose of this research was to determine the analysis of fatigue related vibration and noise exposure in weaving machine at the company. The research was conducted at PT. IDtex of weaving machine departments. The sample involved 31 respondents with Win Episcope 2.0. The respondents were divided into 3 groups vibration exposure < 1 m/sec2, 1-4 m /sec2 and > 4 m /sec2 and noise intensity below 80 dBA, 80-85 dBA and above 85 dBA. Simple Linear Regression analysis test was used to analyze data, and the correlation test had a significant p-value of 0,000 (R = 0,749). This means that there was a significant relationship between vibration and noise exposure with fatigue. The coefficient of determination R2 = 0.560, it’s mean intensity of vibrations and noise accounts for 56.0% of changes in fatigue variables