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Computer Vision Syndrome (CVS) is a group of symptoms that are often experiencedby computer users and it is influenced by various factors: personal, computer,duration, and environmental factors or combination of these factors. This descriptivestudy aims to determine the distribution and frequency of CVS risk factors in PPSIemployee at Faculty of Computer Science, University of Indonesia ( UI ). The designof this study is cross-sectional and involved 26 employees as respondent. The datawere collected by questionnaires, interviews, observation, and direct measurement.The results showed that 84.6 % respondents get CVS complaint with the mostcomplaints are eyestrain (73.1 %), fatigue (65.4 %), shoulder and back pain (57.7 %)in work area with light levels <300 lux. Improve the level of lighting in the workarea, correct the vision error with a proper lens, and improve sitting posture whileworking with computer may help to reduce the CVS symptoms.Keyword: Computer vision syndrome, CVS, PPSI employee
Kata Kunci:Computer vision syndrome, CVS.
Workers who use computers at risk of suffering from complaints ComputerVision Syndrome (CVS). Complaints CVS can cause discomfort anddecreased work productivity. The purpose of this study is to clarify thepicture of CVS risk factors consisting of individual factors, environmentalfactors, factors computer and work process factors in workers who use acomputer at PT. Sukabumi Trading Coy. This type of research is descriptivethat describes the risk factors in 15 respondents. The results showed 60% ofrespondents suffer from CVS, 83.3% of women suffer from CVSrespondents, 75% of respondents make use of glasses suffer CVS, 50% ofrespondents who use computers are not appropriate distance suffers CVSand 53.85% of respondents who have a work desk lighting levels CVSincompatible suffer. Necessary repair work environment and more attentionto workers to prevent complaints CVS.Key words :Computer Vision Syndrome (CVS), individual factors,environmental factors, computer factors, factor computer work processes.
Latar belakang: Penggunaan komputer dapat menimbulkan suatu keluhan kesehatan yang disebut dengan Computer Vision Syndrome (CVS), Sindrom ini dapat dipengaruhi oleh berbagai faktor risiko individual, lingkungan dan komputer.
Tujuan: Mengidentifikasi dan menganalisis faktor-faktor resiko ergonomik individual dan komputer yang berhubungan dengan kejadian Computer Vision Syndrome (CVS) pada pekerja pengguna komputer yang berkacamata dan pekerja yang tidak berkacamata.
Metode: Penelitian ini merupakan penelitian metode kualitatatif. Penelitian dilakukan pada bulan April - Mei 2013 di Unit Pelakasana dan Pelatihan. Sampel sebanyak 18 orang dengan kriteria tertentu, dibagi menjadi 2 kelompok pekerja berkacamata dan pekerja yang tidak berkacamata. Peneliltian dilakukan dengan wawancara langsung menggunakan kuesioner dan pengukuran.
Hasil: Faktor-faktor yang berhubungan dengan kejadian CVS adalah Kelembaban 71%, Pencahayaan kurang dari 300-500 lux (KEPMENKES nomor 1405/Menkes/SK/XI/2002), Usia lebih dari 40 tahun (das et al.), lama bekerja dengan komputer, dan jarak komputer dengan mata.
Kesimpulan: Gejala ekstraokuler pada pekerja pengguna kacamata bifocal melakukan retrofleksi leher sehingga leher tertekuk kebelakang yang menyebabkan keluhan nyeri pada leher. Penderita terbanyak bukan dari pengguna kacamata tetapi pada pekerja yang tidak berkacamata. Serta penderita CVS (berdasarkan kriteria anamnesa) di usia 25 tahun, kedua hal ini berkaitan dengan potur ergonomi pada saat kerja baik secara design tempat kerja, kondisi ruangan ataupun durasi kerja yang semuanya saling berkaitan sehingga menimbulkan gejala Computer Vision Syndrome (CVS).
Background: Computer usage could cause health complaints called Computer Vision Syndrome (CVS). This syndrome was influenced by individual and computer risk factors.
Aim: The objective of the study is to identify and to analyze individual and computer factors of computer Vision Syndrome (CVS).
Methods: This study was an observational study with methods qualitatively. The research was conducted in April-May 2013 in the Pelakasana and Training Unit. Sample of 18 people with certain criteria, divided into 2 groups of workers and workers who are not wearing glasses glasses. Peneliltian done by direct interviews using questionnaires and measurements.
Results: Factors associated with the incidence of CVS is Humidity 71%, less than the 300-500 lux lighting (KEPMENKES 1405/Menkes/SK/XI/2002), age over 40 years (das et al.), Long working computers, and computer distance by eye.
Conclusion: Extraocular symptoms in workers bifocal glasses users do retrofleksi neck so the neck is bent backwards which causes pain in the neck. Most patients but not from users goggles to workers who do not wear glasses. And people with CVS (based on criteria anamnesis) at the age of 25 years, these two things related to ergonomic posture at work both in design work, ambient conditions or duration of action that are all intertwined, giving rise to symptoms of Computer Vision Syndrome (CVS).
Computer Vision Syndrome (CVS) is one of the most common health problems experienced by computer users, including students. Due to the Covid-19 pandemic, many activities that were previously carried out offline have turned into online, including the education sector. This condition increased the use duration of electronic devices with digital screens/VDT, especially among students, it is one of the risk factors for Computer Vision Syndrome. Apart from duration, several risk factors are also associated with Computer Vision Syndrome. The aims of this study are to see an overview of Computer Vision Syndrome incidence and analyze the relationship between Computer Vision Syndrome incidence and its risk factors in regular (S1) and postgraduate (S2) students, Faculty of Public Health, University of Indonesia (FKM UI) during the Covid-19 pandemic. This research was conducted in March-June 2022 using the CVS-Q questionnaire and several short questions related to risk factors distributed online. The study design used in this study was cross-sectional and involved 250 respondents from regular undergraduate and postgraduate students of FKM UI. The results of this study indicate that there are 6 variables that have a significant relationship, namely age (P value = 0.000), duration of use of digital screens/VDT (P value = 0.006), rest pattern (P value = 0.007), eye refraction abnormalities (P value = 0.014), use of antiglare (P value = 0.011), and Screen brightness (P value = 0.030 ). Therefore, further controls and interventions are needed so that these problems can be overcome.
