Gambaran Prevalensi Computer Vision Syndrome pada Mahasiswa dengan Pembelajaran Jarak Jauh
DOI:
https://doi.org/10.32583/keperawatan.v15i1.622Keywords:
computer vision syndrome, mahasiswa, kesiapan pembelajaran jarak jauhAbstract
Pandemi Covid-19 memberikan banyak dampak positif dan negatif terhadap dunia pendidikan, salah satunya adaptasi pembelajaran jarak jauh, sehingga penggunaan layar digital seperti komputer tidak dapat dihindari. Penggunaan komputer lebih dari 2 jam sehari berisiko menimbulkan gangguan kesehatan mata pada pengguna atau disebut dengan Computer Vision Syndrome (CVS). Akan tetapi, prevalensi CVS pada mahasiswa saat pembelajaran jarak jauh masih belum diketahui. Tujuan penelitian ini adalah untuk mengetahui gambaran prevalensi CVS pada mahasiswa dengan pembelajaran jarak jauh. Penelitian ini menggunakan rancangan kuantitatif deskriptif. Terdapat 90 mahasiswa keperawatan tingkat I Universitas Bhakti Kencana sebagai responden yang didapatkan melalui teknik one stage cluster sampling. Data dikumpulkan dengan instrument kuesioner CVS dan dianalisis dengan uji statistik deskriptif. Hasil penelitian menunjukkan bahwa mayoritas responden mengalami CVS yakni sebanyak 59 mahasiswa (66%) dengan gejala terbanyak berupa mata lelah dan tegang, nyeri kepala, dan mata berair. CVS berisiko menyebabkan komplikasi gangguan mata permanen. Diperlukan penelitian lanjutan mengenai solusi pencegahan CVS, karena penggunaan komputer setiap hari oleh mahasiswa khususnya dengan pembelajaran jarak jauh, tidak dapat dihindari.
References
Akkaya, S. (2018). The Effect of Long Term Computure Use on Dry eye. Northern Clinics of Istanbul. https://doi.org/10.14744/nci.2017.54036
AOA. (2020). Computer vision syndrome | AOA. In American ophtometric association (Vol. 9, Issue 28, p. 1). https://www.aoa.org/healthy-eyes/eye-and-vision-conditions/computer-vision-syndrome?sso=y
Azkadina, A. (2012). Hubungan Antara Faktor Risiko Individual Dan Komputer Terhadap Kejadian Computer Vision Syndrome (Relationship of Individual and Computer Risk Factors Towards Computer Vision Syndrome). Jurnal Media Medika Muda, 1(1), 1–18.
Balasopoulou, A., Κokkinos, P., Pagoulatos, D., Plotas, P., Makri, O. E., Georgakopoulos, C. D., Vantarakis, A., Li, Y., Liu, J. J., Qi, P., Rapoport, Y., Wayman, L. L., Chomsky, A. S., Joshi, R. S., Press, D., Rung, L., Ademola-popoola, D., Africa, S., Article, O., … Loukovaara, S. (2017). Symposium Recent advances and challenges in the management of retinoblastoma Globe ‑ saving Treatments. BMC Ophthalmology, 17(1), 1. https://doi.org/10.4103/ijo.IJO
Basnet, A., Basnet, P., Karki, P., & Shrestha, S. (2018). Computer Vision Syndrome Prevalence and Associated Factors Among the Medical Student in Kist Medical College. Nepalese Medical Journal, 1(1), 29–31. https://doi.org/10.3126/nmj.v1i1.20396
Chowdhury, S., & Chakraborty, P. pratim. (2017). Universal health coverage ‑ There is more to it than meets the eye. Journal of Family Medicine and Primary Care, 6(2), 169–170. https://doi.org/10.4103/jfmpc.jfmpc
Jones, L. (1984). Distance Learning. Education + Training, 26(8), 248–250. https://doi.org/10.1108/eb017055
Logaraj, M., Madhupriya, V., & Hegde, S. (2014). Computer vision syndrome and associated factors among medical and engineering students in Chennai. Annals of Medical and Health Sciences Research, 4(2), 179. https://doi.org/10.4103/2141-9248.129028
R, A. T., & J, M. Y. (2014). Medical Practice and Review Impact of computer technology on health: Computer Vision Syndrome (CVS). 5(3), 20–30. https://doi.org/10.5897/MPR.2014.0121
Randolph, S. A. (2017). Computer Vision Syndrome. Workplace Health and Safety, 65(7), 328. https://doi.org/10.1177/2165079917712727
Rasul, F. B., Kalmus, O., Sarker, M., Adib, H. I., Hossain, M. S., Hasan, M. Z., Brenner, S., Nazneen, S., Islam, M. N., & De Allegri, M. (2019). Determinants of health seeking behavior for chronic non-communicable diseases and related out-of-pocket expenditure: Results from a cross-sectional survey in northern Bangladesh. In Journal of Health, Population and Nutrition (Vol. 38, Issue 1). https://doi.org/10.1186/s41043-019-0195-z
Rochmayani, D. S., & Cahyaningsih, O. (2021). Risk Factors for the Incidence of Computer Vision Syndrome (CVS) in Lecturers During the Online Learning Period. Journal of Health Education, 6(2), 65–72. https://doi.org/10.15294/jhe.v6i2.47513
Talens-Estarelles, C., Cerviño, A., García-Lázaro, S., Fogelton, A., Sheppard, A., & Wolffsohn, J. S. (2022). The effects of breaks on digital eye strain, dry eye and binocular vision: Testing the 20-20-20 rule. Contact Lens and Anterior Eye, May. https://doi.org/10.1016/j.clae.2022.101744
Wang, L., Wei, X., & Deng, Y. (2021). Computer Vision Syndrome During SARS-CoV-2 Outbreak in University Students: A Comparison Between Online Courses and Classroom Lectures. Frontiers in Public Health, 9(July), 1–7. https://doi.org/10.3389/fpubh.2021.696036
World Health Organization (WHO). (2020). WHO Director-General’s opening remarks at the Mission briefing on COVID-19 - 16 April 2020. In Who (p. 1). https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-mission-briefing-on-covid-19---28-may-2020%0Ahttps://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-mission-brie
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