The Determinant Factors Affecting the Event of Computer Vision Syndrome (CVS) on Helpdesk Employees at PT. Telkom Access Papua in 2020

  • Dwi Astuti Postgraduate Master Program of Public Health, Faculty of Public Health, Cenderawasih University
  • Sarce Makaba Faculty of Public Health, Cenderawasih University, Jayapura Papua, Indonesia, 99351
  • Rosmin M. Tingginehe Faculty of Public Health, Cenderawasih University, Jayapura Papua, Indonesia, 99351
  • Yacob Ruru Department of Satistics, Faculty of Mathematics and Natural Sciences, Cenderawasih University
Keywords: Computer Vision Syndrome (CVS), employees, cross-sectional

Abstract

Background: Computer Vision Syndrome (CVS) occurs due to prolonged use of computers. Many individuals with CVS experience discomfort when using a computer for a long time. If workers are affected by CVS, it will affect the company because the productivity of workers decreases so that the company's income will also decrease. Research Objectives: To identify the determinant factors associated with the event of computer vision syndrome (CVS) on helpdesk employees at PT. Telkom Access Papua in 2020. Research method: The research method used in this study was observational analytic with a cross-sectional study approach. A sample of 50 employees was taken using total sampling. The study was conducted in March 2020. Statistical tests used in this study were univariate, bivariate, and multivariate analysis. Data obtained by using questionnaires and interviews. Results: Bivariate analysis showed several determinant factors affecting the event of computer vision syndrome (CVS) on helpdesk employees  at  PT. Telkom Access Papua, they are: using contact lenses (p = 0.037; RP = 1.779; 95% CI = 1.107-2.858), working hours (p = 0.049; RP = 1.917; 95% CI = 1.031-3.563), break eyes (p = 0.020; RP = 2.588; 95% CI = 1.069-6.267), and room lighting (p = 0.011; RP = 2.574; 95% CI = 1.168–5.676); while sex (p = 0.162; RP = 1.607; 95% CI = 0.982-2.631), age (p = 0.589; RP = 1.636; 95% CI = 0.511-5.237), using eye glasses (p = 0.186; RP = 0.642; 95% CI = 0.388-1.060), length of working (p = 0.087; RP = 1.976; 95% CI = 0.912-4.283), viewpoint (p = 0.087; RP = 1.976; 95% CI = 0.912-4.283), distance between eyes and monitor (p = 0.087; RP = 1.976; 95% CI = 0.912-4.283), and room temperature (p = 0.894; RP = 0.828; 95% CI = 0.378-1.814) were not affecting the event of computer vision syndrome (CVS). Multivariate logistic regression analysis showed two dominant determinant factors that affecting the event of computer vision syndrome (CVS); they are: break eyes and room lighting.

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Published
2020-07-18
Section
Articles