Proceedings of the 4th International Conference on Innovation in Education, Science and Culture, ICIESC 2022, 11 October 2022, Medan, Indonesia

Research Article

Measuring Fatigue for WFH Employee: Sofi Analysis

Download347 downloads
  • @INPROCEEDINGS{10.4108/eai.11-10-2022.2325378,
        author={Syamsul  Gultom and Dewi  Endriani and Agustin  Harahap},
        title={Measuring Fatigue for WFH Employee: Sofi Analysis},
        proceedings={Proceedings of the 4th International Conference on Innovation in Education, Science and Culture, ICIESC 2022, 11 October 2022, Medan, Indonesia},
        publisher={EAI},
        proceedings_a={ICIESC},
        year={2022},
        month={12},
        keywords={fatigue work from home covid-19 sofi analysis},
        doi={10.4108/eai.11-10-2022.2325378}
    }
    
  • Syamsul Gultom
    Dewi Endriani
    Agustin Harahap
    Year: 2022
    Measuring Fatigue for WFH Employee: Sofi Analysis
    ICIESC
    EAI
    DOI: 10.4108/eai.11-10-2022.2325378
Syamsul Gultom1,*, Dewi Endriani1, Agustin Harahap1
  • 1: Universitas Negeri Medan
*Contact email: syasulgultom@unimed.ac.id

Abstract

This article aims to predict the weariness experienced by Universitas Negeri Medan employees working from home owing to the COVID-19 pandemic. This study recruited 33 participants with the same workload. The Swedish occupational fatigue inventory (SOFI) scale was utilized to evaluate and predict fatigue. For reported mental and physical fatigue symptoms, severity of fatigue may be a viable mechanistic concept. Physical exertion (1.47), physical discomfort (1.20), lack of energy (1.95), lack of motivation (1.02), and tiredness were measured in this study (1.19). Thus, the five SOFI-dimensions accounted for more than half of the variance in the total evaluation of fatigue, and their internal consistency was satisfactory. However, the scores were on the lower end of the spectrum, and the correlation between the dimensions was greater than anticipated.