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All Journal International Journal of Public Health Science (IJPHS) Jurnal Kesehatan Lingkungan indonesia Disease Prevention and Public Health Journal Jurnal Kesehatan Masyarakat Kesmas: Jurnal Kesehatan Masyarakat Nasional PROSIDING SEMINAR KIMIA Public Health of Indonesia Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Jurnal Keperawatan Padjadjaran Faletehan Health Journal
Iwan Muhamad Ramdan
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Chemistry Environmental Science Health Professions Medicine & Pharmacology Neuroscience Nursing Public Health

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Journal : Faletehan Health Journal

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Pengaruh Pemberian Metode 20-20-20 terhadap Penurunan Gejala Computer Vision Syndrome (CVS) Gita Nurhikma; Dina Lusiana Setyowati; Iwan Muhamad Ramdan
Faletehan Health Journal Vol 9 No 03 (2022): Faletehan Health Journal, November 2022
Publisher : Universitas Faletehan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33746/fhj.v9i3.437

Abstract

Computer Vision Syndrome (CVS) is a combination of problems or a set of symptoms in eyes due to activities of using digital devices such as computers, telephones, and tablets with near vision and lasts continuously for long periods. Employees who work on a computer for more than 2-4 hours a day is at risk of developing CVS which can affect their productivity at work. The purpose of this study was to determine the effects of giving 20-20-20 method on reducing CVS symptoms. The type of the research is true experiment with pretest-posttest control group design. The number of samples were 30 employees divided into the experimental group and the control group. The bivariate analysis used paired samples T-test for paired samples and independent samples T-test and Mann-Whitney test for non-paired samples with a significance level of 95% (α = 0.05). The results showed that there was a significant difference between CVS symptom score before and after the intervention with p value 0.001 (ρ<0.05). The researchers concluded that there was a significant effect of giving 20-20-20 method on reducing CVS symptoms of employees. Future researchers were expected to be able to innovate to reduce the symptoms of Computer Vision Syndrome (CVS).
Co-Authors Azizah Azahra DEWI SARTIKA Dina Lusiana Setyowati Dyyka Indah Wijayanti Firdaus, Ade Rahmat Gita Nurhikma Ilmiah, Siti Hikmatul Krishna Purnawan Candra Muhammad Sultan Purwanto, Herry Tiyanpri Bayu Laksmono