Naftali Setia Budi, Andrew, Natalie Seubelan, Maya and Leo, Priskila (2025) Faktor-faktor yang berhubungan dengan kejadian computer vision syndrome pada mahasiswa keperawatan di salah satu universitas swasta Indonesia bagian barat. Bachelor thesis, Universitas Pelita Harapan.
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Abstract
Computer Vision Syndrome (CVS) merupakan sekumpulan gejala pada mata dan penglihatan akibat aktivitas berlebih mata saat menggunakan komputer/laptop. Mahasiswa keperawatan merupakan kelompok yang rentan mengalami CVS karena intensitas penggunaan komputer yang tinggi. Pada tahun 2022, sebanyak 190 (83,7%) mahasiswa keperawatan di suatu universitas mengalami gejala CVS (Amalia, 2022). Penelitian ini bertujuan untuk mengetahui faktor-faktor yang berhubungan dengan kejadian CVS pada mahasiswa keperawatan di salah satu universitas swasta di Indonesia bagian barat. Penelitian ini menggunakan metode kuantitatif korelasional dengan desain penelitian cross-sectional. Sampel pada penelitian ini berjumlah 341 orang dengan menggunakan teknik Convenience sampling. Instrumen dalam penelitian menggunakan kuesioner Computer Vision Syndrome (CVS-Smart) dan kuesioner faktor-faktor risiko CVS yang terdiri dari variabel jenis kelamin, durasi penggunaan komputer/laptop, lama istirahat dalam penggunaan komputer/laptop, penggunaan proteksi mata dengan anti blue ray dan anti glare screen, dan jarak pandang antara mata dan komputer/laptop. Analisis data yang digunakan adalah uji univariat dan bivariat. Hasil menunjukkan hubungan yang signifikan antara jenis kelamin (p = 0,024) dan durasi penggunaan komputer/laptop tanpa diselingi aktivitas lain (p = 0,001) dengan kejadian CVS. Sementara itu, variabel lama istirahat, penggunaan pelindung mata, dan jarak pandang tidak menunjukkan hubungan yang signifikan (p-value> 0,05). Dengan demikian, faktor jenis kelamin dan durasi penggunaan komputer/laptop merupakan faktor yang berhubungan secara signifikan dengan kejadian CVS. Oleh karena itu, mahasiswa keperawatan disarankan untuk memperhatikan faktor risiko tersebut untuk mencegah terjadinya CVS saat menggunakan komputer/laptop. / Computer Vision Syndrome (CVS) is a set of symptoms in the eyes and vision due to excessive eye activity when using a computer/laptop. Nursing students are a group that is vulnerable to CVS due to the high intensity of computer use. In 2022, as many as 190 (83.7%) nursing students at a university experienced CVS symptoms (Amalia, 2022). This study aims to determine the factors associated with the incidence of CVS in nursing students at a private university in western Indonesia. This study used a correlational quantitative method with a cross-sectional research design. The sample in this study amounted to 341 people using Convenience sampling technique. The instruments in the study used the Computer Vision Syndrome (CVS-Smart) questionnaire and the CVS risk factors questionnaire consisting of gender variables, duration of computer/laptop use, length of break in computer/laptop use, use of eye protection with anti blue ray and anti glare screen, and visibility between eyes and computer/laptop. The data analysis used was univariate and bivariate tests. The results showed a significant relationship between gender (p=0.024) and the duration of computer/laptop use without interspersed with other activities (p=0.001) with the incidence of CVS. Meanwhile, the variables of rest duration, use of eye protection, and visibility did not show a significant relationship (p-value> 0.05). Thus, gender and duration of computer/laptop use are factors that are significantly associated with the incidence of CVS. Therefore, nursing students are advised to pay attention to these risk factors to prevent the occurrence of CVS when using a computer/laptop.
Item Type: | Thesis (Bachelor) |
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Creators: | Creators NIM Email ORCID Naftali Setia Budi, Andrew NIM01501220042 andrewnaftali47@gmail.com UNSPECIFIED Natalie Seubelan, Maya NIM01501220238 seubelanm@gmail.com UNSPECIFIED Leo, Priskila NIM01501220241 priskilaleo21@gmail.com UNSPECIFIED |
Contributors: | Contribution Contributors NIDN/NIDK Email Thesis advisor Adi Saputra, Bima NIDN0320088903 bima.saputra@uph.edu Thesis advisor Eka Putra, Luke NIDN0319087404 luke.putra@uph.edu |
Uncontrolled Keywords: | computer vision syndrome; faktor-faktor; mahasiswa |
Subjects: | R Medicine > RT Nursing |
Divisions: | University Subject > Current > Faculty/School - UPH Karawaci > Faculty of Nursing > Nursing Current > Faculty/School - UPH Karawaci > Faculty of Nursing > Nursing |
Depositing User: | MAYA NATALIE SEUBELAN |
Date Deposited: | 03 Jul 2025 08:24 |
Last Modified: | 03 Jul 2025 08:24 |
URI: | http://repository.uph.edu/id/eprint/69236 |