Faktor yang Berhubungan dengan Kejadian Computer Vision Syndrome pada Karyawan Bank

Nopriadi, Nopriadi; Pratiwi, Yuharika; Leonita, Emy; Tresnanengsih, Erna

doi:10.30597/mkmi.v15i2.5753

Cited by 21 publications

(41 citation statements)

References 10 publications

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“…The lack of frequency of rest time after working in front of a computer screen generally causes complaints of blurred vision. This shows that the length of rest after exposure to computer screens is very important for CVS prevention measures (Al Tawil et al, 2020;Nopriadi et al, 2019;Sari et al, 2018).…”

Section: Resultsmentioning

confidence: 97%

“…The duration of exposure to computer screens according to several studies is a predictor of asthenopia. Studies show that the incidence of asthenopia is higher in Video Display Terminal (VDT) users who work with computers for approximately 5 years (Nopriadi et al, 2019;Parihar et al, 2016;Randolph, 2017).…”

Section: Resultsmentioning

confidence: 99%

“…Some studies also recommend prevention efforts through the 20-20-20 method every hour. With this method, someone who works with a computer is advised that every 20 minutes look away from 20 feet or 6 meters for 20 seconds (Nopriadi et al, 2019).…”

Section: Resultsmentioning

confidence: 99%

“…Third, symptoms of vision, characterized by blurred vision, slow changes in focus, double vision, presbyopia. The four extraoculars are complaints of neck pain, back pain, and shoulder pain (Nopriadi et al, 2019;Parihar et al, 2016;Ranasinghe et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Risk Factors for the Incidence of Computer Vision Syndrome (CVS) in Lecturers During the Online Learning Period

Rochmayani

Cahyaningsih²

2021

JHealthEdu

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Background: The online learning process during the Covid 19 pandemic has increased the incidence of Computer Vision Syndrome (CVS). The results of the study showed that there were 15% of lecturers at Widya Husada University Semarang experienced CVS. The purpose of the study was to analyze CVS risk factors among lecturers during the online learning period.Methods: The study was conducted using a case-control design. The research sample was lecturers at Widya Husada University as many as 60 people consisting of 30 people each in the case and control groups. A questionnaire with google forms was used for data collection. The data analysis used was univariate, chi-square for bivariate analysis and multiple logistic regression for multivariate analysis.Results: There are 5 variables that are significantly proven as risk factors for CVS, namely: 1) long working with computers (OR = 18.693; 95% CI = 1.487 – 234.955); 2) duration of computer use continuously (OR = 54,281; 95% CI = 2,523 – 1167,92); 3) length of rest after using the computer (OR = 31.060; 95% CI = 1.884 – 512.062); 4) distance from eyesight to monitor (OR = 34.640; 95% CI = 2.263 – 530.240); and 5) the position of the top of the monitor with respect to the horizontal eye level (OR = 17.555; 95% CI = 1.778 -173.296). Lecturers who have these 5 risk factors together will have a probability of experiencing CVS by 83%. Conclusion: Exposure to computer monitors experienced by lecturers during online learning will increase the risk of CVS events. There needs to be an effort to modify risk factors so that CVS events among lecturers during online learning can be prevented.

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Section: Resultsmentioning

confidence: 97%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Risk Factors for the Incidence of Computer Vision Syndrome (CVS) in Lecturers During the Online Learning Period

Rochmayani

Cahyaningsih²

2021

JHealthEdu

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“…CVS symptoms are grouped into four major groups, namely Astenopi (tense, tired and sore eyes), associated with the surface of eyeball (dry, watery eyes, irritation, problems with contact lens use), vision (blurred vision, slow in changing focus, double vision , presbyopia), extraocular (pain in the shoulders, arthritis, muscle injury, sloping neck, pinched nerves). According to Cole & Collins, the above symptoms are a combination of vision problems, poor working conditions, and wrong habits (Nopriadi et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

The Relation between Symptoms of Computer Vision Syndrome and Visual Display Terminal Utilization

Nadhiva

Mulyono

2020

IJOSH

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Introduction: The increased use of computers in the era of technological advances had an impact on the eye health called Computer Vision Syndrome (CVS), a compound eye problem caused by computer use. Almost every job could not be separated from the use of computers. Based on data from World Health Organization (WHO) in 2014, the incidence of asthenopia (eye fatigue) ranged from 40% to 90%. This research aimed to determine the relationship between symptoms of Computer Vision Syndrome and Visual Display Terminal utilization. Methods: This research was a quantitative with analytic survey method. Based on the data collection method, this research included as observational research type. This research was conducted with cross-sectional study design. Data collection was carried out with doctor's diagnosis guidelines, interviews, measurement using questionnaires, and observation. The population was 47 permanent workers and the sample taken was 42 respondents from the design division workers. The sampling technique used simple random sampling. The variables in this research were age, working period, distance to VDT, and general lighting intensity. Results: This research showed that the factors associated with symptoms of Computer Vision Syndrome were working period and eye distance to VDT. Conclusion: The longer the working period and the more distance between the eye and the VDT, the more symptoms of VDT would be.Keywords: computer use, symptoms of computer vision syndrome, visual display terminal

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Faktor-Faktor Yang Berhubungan Dengan Keluhan Kelelahan Mata Pada Pekerja Kantor X Karanganyar

Tianto,

Qadrijati,

Haryati

2023

Jurnal Kesehatan Masyarakat

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Office workers X Karanganyar are computer users, with an average duration of computer use in a day of more than 4 hours. The average worker has been working for more than three years and is still exposed to lighting intensity that is less than standard (< 300 lux) with an eighthour workday, putting them at risk of experiencing eye fatigue. This study aims to determine the relationship between lighting intensity, working period, and duration of computer use with complaints of eye fatigue in Karanganyar X Office workers. This study uses an analytical observational method with a cross-sectional approach. The research population was 80 people. The sampling technique used is purposive sampling with criteria of age 50 and working on a computer for at least 2 hours continuously, and the research sample is 45 people. Measurement of lighting intensity using a Lux meter and eye fatigue using a Visual FatigueIndex (VFI) questionnaire. The results of the bivariate analysis with Somers'd showed that there was a relationship between lighting intensity and complaints of eye fatigue (p-value = 0.030, r = 0.333), there was a relationship between years of service and complaints of eye fatigue (p-value = 0.003, r = 0.457), and there is a relationship between the duration of computer use and complaints of eye fatigue (p-value = 0.028, r = 0.326). To reduce eye fatigue, it can be done by setting up the layout of the workplace, taking breaks in between work, and getting regular eye health checks.

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Faktor yang Berhubungan dengan Kejadian Computer Vision Syndrome pada Karyawan Bank

Cited by 21 publications

References 10 publications

Risk Factors for the Incidence of Computer Vision Syndrome (CVS) in Lecturers During the Online Learning Period

Risk Factors for the Incidence of Computer Vision Syndrome (CVS) in Lecturers During the Online Learning Period

The Relation between Symptoms of Computer Vision Syndrome and Visual Display Terminal Utilization

Faktor-Faktor Yang Berhubungan Dengan Keluhan Kelelahan Mata Pada Pekerja Kantor X Karanganyar

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