Faktor-Faktor Yang Berhubungan Dengan Keluhan Computer Vision Syndrome (CVS) Pada Pekerja Divisi Teknologi di PT INKA (Persero) Madiun

Authors

  • Syifa Farida Ashaar Program Studi D4 Keselamatan dan Kesehatan Kerja, Sekolah Vokasi, Universitas Sebelas Maret, Indonesia
  • Tyas Lilia Wardani Program Studi D4 Keselamatan dan Kesehatan Kerja, Sekolah Vokasi, Universitas Sebelas Maret, Indonesia
  • Farhana Syahrotun Nisa S Program Studi D4 Keselamatan dan Kesehatan Kerja, Sekolah Vokasi, Universitas Sebelas Maret, Indonesia

DOI:

https://doi.org/10.20961/jaht.v1i1.285

Keywords:

blue light filter, computer vision syndrome, eye rest, technology division

Abstract

The technology division at PT INKA (Persero) is a division responsible for carrying out work related to industrial technology and requires workers to use two computer monitors for 8 working hours. This can lead to workers being more vulnerable to experiencing CVS. This study is an analytical observational study with a cross sectional approach. The respondents of this study were all 55 technology division workers at PT INKA (Persero) with sampling techniques using total sampling. The data analysis techniques used are Somers'd for bivariate tests and logistic regression for multivariate tests. The results of the Somers'd correlation showed that from the 4 factors analyzed there were 2 factors that were significantly related to CVS complaints, namely the use of a blue light filter (p = 0.018) and the length of eye rest (p = 0.00). Based on the results of the logistic regression test, it is known that the most related factors related to CVS complaintsis the length of eye rest time (OR = 33.181).

References

Badan Pusat Statistik, “Statistik Telekomunikasi Indonesia 2017,” Katalog BPS, 2018.

Anies, Kedokteran Okupasi Berbagai Penyakit Akibat Kerja dan Upaya Penanggulangan Dari Aspek Kedokteran. Yogyakarta: Ar-Ruzz Media., 2014.

American Optometric Association, “Computer Vision Syndrome,” 2019. https://www.aoa.org/healthy-eyes/eye-and-vision-conditions/computer-vision-syndrome?sso=y (accessed Dec. 16, 2021).

S. A. Randolph, “Computer Vision Syndrome,” Workplace Health and Safety, 2017.

S. C. Reddy, C. K. Low, Y. P. Lim, L. L. Low, F. Mardina, and M. P. Nursaleha, “Computer vision syndrome: a study of knowledge and practices in university students,” Nepal J. Ophthalmol. 2013;5(2):161–168, doi: 10.3126/nepjoph.v5i2.8707.

A. M. Alemayehu, “Pathophysiologic Mechanisms of Computer Vision Syndrome and its Prevention: Review,” World J. Ophthalmol. Vis. Res. 2019;2(5):1–7, doi: 10.33552/wjovr.2019.02.000547.

P. C. Chang, S. Y. Chou, and K. K. Shieh, “Reading performance and visual fatigue when using electronic paper displays in long-duration reading tasks under various lighting conditions,” Displays, 2013;34(3):208–214, doi: 10.1016/j.displa.2013.06.001.

A. L. Sheppard and J. S. Wolffsohn, “Digital eye strain: Prevalence, measurement and amelioration,” BMJ Open Ophthalmol. 2018;3(1), doi: 10.1136/bmjophth-2018-000146.

J. B. Lin, B. W. Gerratt, C. J. Bassi, and R. S. Apte, “Short-wavelength light-blocking eyeglasses attenuate symptoms of eye fatigue,” Investig. Ophthalmol. Vis. Sci. 2017;58(1):442–447, doi: 10.1167/iovs.16-20663.

Y. Insani and N. Wunaini, “Hubungan Jarak Mata dan Intensitas Pencahayaan terhadap,” J. Manaj. Kesehat. Yayasan RS Dr. Soetomo, 2018;40(2):153–162.

D. Darmawan and A. S. Wahyuningsih, “Keluhan Subjektif Computer Vision Syndrome Pada Pegawai Pengguna Komputer Dinas Komunikasi dan Informasi,” Indones. J. Public Heal. Nutr. 2021;1(1):101–113, [Online]. Available: http://journal.unnes.ac.id/sju/index.php/IJPHN

C. Mowry and D. Ison, “Assessing Computer Vision Syndrome Risk for Pilots,” J. Aviat. Educ. Res. 2015;4(2), doi: 10.15394/jaaer.2015.1617.

S. Agarwal, D. Goel, and A. Sharma, “Evaluation of the factors which contribute to the ocular complaints in computer users,” J. Clin. Diagnostic Res. 2013;7(2):331–335, doi: 10.7860/JCDR/2013/5150.2760.

M. Logaraj, V. M. Priya, N. Seetharaman, and S. K. Hedge, “Practice of Ergonomic Principles and Computer Vision Syndrome (CVS) among Undergraduates Students in Chennai,” Natl. J. Med. Res. 2013;3(2):111–116, [Online]. Available: http://sjournals.net/ojs/index.php/NJMR/article/view/18

P. Ranasinghe et al., “Computer vision syndrome among computer office workers in a developing country: An evaluation of prevalence and risk factors,” BMC Res. Notes, 2016;9(1):1–9, doi: 10.1186/s13104-016-1962-1.

D. R. Gupta, D. D. Gour, and D. M. Meena, “Interventional Cohort Study for evaluation of Computer Vision Syndrome among Computer Workers,” Int. J. Med. Res. Rev. 2014;2(1):40–44, doi: 10.17511/ijmrr.2014.i01.08.

A. Azkadina, “Hubungan Antara Faktor Risiko Individual Dan Komputer Terhadap Kejadian Computer Vision Syndrome,” J. Kedokt. Diponegoro, 2012;1(1):137662.

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Published

2022-09-28

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