Analisis Deskriptif tentang Pengetahuan, Sikap, dan Penerimaan Informasi dalam Penerapan Pencegahan Computer Vision Syndrome

  • Deliana Attasya Widyasari Faculty of Public Health University of Indonesia
  • Doni Hikmat Ramdhan Faculty of Public Health University of Indonesia
Keywords: Computer Vision Syndrome, Asthenopia, Pengetahuan, Sikap, Penerimaan Informasi, Pencegahan CVS

Abstract

Menghadapi era industri 4.0 yang identik dengan peningkatan penggunaan perangkat digital yang masif dapat menimbulkan masalah kesehatan masyarakat. Computer Vision Syndrome (CVS) merupakan salah satu masalah kesehatan yang dapat timbul selama penggunaan perangkat digital yang lebih dari 6 jam. Pegawai kantor pusat perusahaan manufaktur obat hewan PT. X yang bekerja selama 8 jam sehari dengan aktivitas kerja sedentari di depan layar perangkat digital berisiko memicu timbulnya keluhan CVS. Penelitian ini bertujuan untuk mengetahui gambaran pengetahuan, sikap, dan penerimaan informasi dalam penerapan pencegahan CVS pada pegawai PT. X. Penelitian ini merupakan analisis lanjutan terhadap data dari penelitian skripsi sebelumnya yang menggunakan desain studi cross sectional. Data dianalisis ulang secara deskriptif dengan mengevaluasi distribusi frekuensi variabel pengetahuan, sikap, dan penerimaan informasi untuk memahami perilaku pencegahan CVS. Hasil 94,1% mengalami setidaknya 1 keluhan CVS. Keluhan yang paling umum dialami adalah astenopia (76,6%). 57,4% responden memiliki pengetahuan yang kurang, 58,8% tindakan pencegahan yang kurang baik, dam 57% responden bersikap positif. Internet menjadi sumber informasi utama tentang CVS (67,6%) dibandingkan dengan media lainnya. Hasil penelitian menunjukkan tingkat pengetahuan dan penerapan tindakan CVS yang rendah. Edukasi dan promosi kesehatan diperlukan untuk meningkatkan kesadaran dan tindakan pencegahan CVS pada PT. X.

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References

Adane, F., Alamneh, Y. M., & Desta, M. (2022). Computer vision syndrome and predictors among computer users in Ethiopia: A systematic review and meta-analysis. Tropical Medicine and Health, 50. https://doi.org/10.1186/s41182-022-00418-3

Akinbinu, T. R., & Mashalla, Y. J. (2013). Knowledge of computer vision syndrome among computer users in the workplace in Abuja, Nigeria. Journal of Physiology and Pathophysiology, 4(4), 58–63.

Aldawsari, S. A. (2018). Knowledge, attitude, and practices of faculty members about computer vision syndrome, Majmaah University, Saudi Arabia. International Journal of Community Medicine and Public Health, 5(9), 3801–3806.

Amirul, F. Z., Aqilah, R., Lee, M. L., Azuhairi, A. A., & Isa, M. M. (2015). Knowledge, attitude, and practice of computer vision syndrome among staffs that use video display terminal in a faculty of a Malaysian public university. International Journal of Public Health and Clinical Sciences, 2(1), 137–147.

Artime-Ríos, E., Suárez-Sánchez, A., Sánchez-Lasheras, F., & Seguí-Crespo, M. (2022). Computer vision syndrome in healthcare workers using video display terminals: An exploration of the risk factors. Journal of Advanced Nursing, 78(7), 2095–2110. https://doi.org/10.1111/jan.15140

Auffret, É., Gomart, G., Bourcier, T., Gaucher, D., Speeg-Schatz, C., & Sauer, A. (2021). Digital eye strain: Symptoms, prevalence, pathophysiology, and management. Journal Français d’Ophtalmologie, 44(10), 1605–1610. https://doi.org/10.1016/j.jfo.2020.10.002

Bhargava, R., Kumar, P., Phogat, H., Kaur, A., & Kumar, M. (2015). Oral omega-3 fatty acids treatment in computer vision syndrome related dry eye. Contact Lens and Anterior Eye, 38(3), 206–210. https://doi.org/10.1016/j.clae.2014.10.006

Blehm, C., Vishnu, S., Khattak, A., Mitra, S., & Yee, R. W. (2005). Computer vision syndrome: A review. Survey of Ophthalmology, 50(3), 253–262. https://doi.org/10.1016/j.survophthal.2005.02.008

Bradley, J., Jain, V. K., Chaturvedi, P., Kaushik, J., Jain, G., & Parihar, A. K. S. (2016). Computer and visual display terminals (VDT) vision syndrome (CVDTS). Medical Journal Armed Forces India, 72(3), 270–276. https://doi.org/10.1016/j.mjafi.2016.03.016

Ccami-Bernal, F., Soriano-Moreno, D. R., Romero-Robles, M. A., Barriga-Chambi, F., Tuco, K. G., Castro-Diaz, S. D., Nuñez-Lupaca, J. N., Pacheco-Mendoza, J., Galvez-Olortegui, T., & Benites-Zapata, V. A. (2024). Prevalence of computer vision syndrome: A systematic review and meta-analysis. Journal of Optometry, 17(1). https://doi.org/10.1016/j.optom.2023.100482

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), 179–185. https://doi.org/10.4103/2141-9248.129028

Moore, P. A., Wolffsohn, J. S., & Sheppard, A. L. (2024a). Digital eye strain and clinical correlates in older adults. Contact Lens and Anterior Eye. https://doi.org/10.1016/j.clae.2024.102349

Moore, P. A., Wolffsohn, J. S., & Sheppard, A. L. (2024b). Digital eye strain and its impact on working adults in the UK and Ireland. Contact Lens and Anterior Eye, 47(6). https://doi.org/10.1016/j.clae.2024.102176

Portello, J. K., Rosenfield, M., Bababekova, Y., Estrada, J. M., & Leon, A. (2012). Computer-related visual symptoms in office workers. Ophthalmic and Physiological Optics, 32(5), 375–382. https://doi.org/10.1111/j.1475-1313.2012.00925.x

Ranasinghe, P., Wathurapatha, W. S., Perera, Y. S., Lamabadusuriya, D. A., Kulatunga, S., Jayawardana, N., & Katulanda, P. (2016). Computer vision syndrome among computer office workers in a developing country: An evaluation of prevalence and risk factors. BMC Research Notes, 9. https://doi.org/10.1186/s13104-016-1962-1

Rosenfield, M. (2011). Computer vision syndrome: A review of ocular causes and potential treatments. Ophthalmic and Physiological Optics, 31(5), 502–515. https://doi.org/10.1111/j.1475-1313.2011.00834.x

Seguí, M. del M., Cabrero-García, J., Crespo, A., Verdú, J., & Ronda, E. (2015). A reliable and valid questionnaire was developed to measure computer vision syndrome at the workplace. Journal of Clinical Epidemiology, 68(6), 662–673. https://doi.org/10.1016/j.jclinepi.2015.01.015

Statistik, Badan Pusat. (2022). Statistik Telekomunikasi Indonesia. Jakarta: Badan Pusat Statistik.

Tauste, A., Ronda, E., Molina, M. J., & Seguí, M. (2016). Effect of contact lens use on computer vision syndrome. Ophthalmic and Physiological Optics, 36(2), 112–119. https://doi.org/10.1111/opo.12239

Wolffsohn, J. S., Lingham, G., Bhatt, U., Craig, J. P., Downie, L. E., Postnikoff, C., Srinivasan, S., Sung, J., Tong, L., Turnbull, P. R. K., Wang, M. T. M., Wan, K. H., Xiao, J., & Yee, A. (2023). TFOS lifestyle report on digital eye strain. The Ocular Surface, 28, 165–228. https://doi.org/10.1016/j.jtos.2023.04.010

Published
2026-05-16