PEMBELAJARAN DARING, STRES DAN ZOOM FATIGUE PADA MAHASISWA D-III KEPERAWATAN SELAMA PANDEMI COVID-19

Sri Dearmaita Purba; Flora Sijabat; Amila Amila

doi:10.37104/ithj.v5i2.110

Sri Dearmaita Purba Universitas Sari Mutiara Indonesia
Flora Sijabat Universitas Sari Mutiara Indonesia
Amila Amila Universitas Sari Mutiara Indonesia

DOI: https://doi.org/10.37104/ithj.v5i2.110

Keywords: Covid-19, Online, Stress, Zoom, Fatigue

Abstract

The Covid-19 pandemic that occurred in Indonesia led to the implementation of online or online learning in educational institutions so that the teaching and learning process can be carried out. In practice, online learning in universities has positive and negative impacts, especially in the health sector. The purpose of the study was to determine the effect of online learning on stress and zoom fatigue as well as the characteristics that affect D III nursing students at Sari Mutiara University, Indonesia. This research is a correlation analytic study with a cross sectional design. The sampling technique used purposive sampling with the number of respondents as many as 44 people. Data collection was carried out by distributing questionnaires through Google Forms which were sent to students by researchers via whatsapp. The bivariate test used to determine the relationship between online learning and the characteristics that affect stress and zoom fatigue is the Spearman correlation test. The results showed that there was a relationship between online learning and stress levels (p value = 0.009 ; r = 0.389). There is no relationship between age (p value = 0.327 ; r = -0.151); gender (p value = 0.851, r = 0.029); internet connection (p value = 0.276 ; r = -0.098); duration of online learning (p value = 0.369; r = -0.139) with the stress level of nursing students. There is a relationship between online learning (p value = 0.049; r = 0.299, age (p value = 0.018; r = 0.355), duration of online learning (p value = 0.037; r = 0.316) with zoom fatigue in nursing students. There is no relationship between gender (p value = 0.527, r = 0.098), internet connection (p value = 0.929; r = 0.014) and zoom fatigue in nursing students. Lecturers need to innovate/modify learning media with various applications that do not require high concentration, so that fatigue and stress on students do not occur.

Abstrak

Pandemi Covid-19 yang terjadi di Indonesia menyebabkan diterapkannya pembelajaran daring atau online diinstitusi pendidikan supaya proses belajar mengajar dapat dilaksanakan. Dalam pelaksanaannya pembelajaran daring di perguruan tinggi memiliki dampak positif dan negatif terutama dibidang kesehatan. Tujuan penelitian adalah untuk mengetahui pengaruh pembelajaran online terhadap stres dan zoom fatigue serta karakteristik yang mempengaruhi pada mahasiswa D-III keperawatan Universitas Sari Mutiara Indonesia. Penelitian ini merupakan penelitian analitik korelasi dengan rancangan cross sectional. Teknik pengambilan sampel menggunakan purposive sampling dengan jumlah responden sebanyak 44 orang. Pengumpulan data dilakukan dengan penyebaran angket melalui Google Form yang dikirim kepada mahasiswa oleh peneliti melalui whatsapp. Uji bivariat yang digunakan untuk mengetahui hubungan pembelajaran online dan karakteristik yang mempengaruhi stres dan zoom fatigue adalah uji korelasi Spearman. Hasil penelitian menunjukkan ada hubungan antara pembelajaran daring dengan tingkat stres (p value = 0,009 ; r = 0,389). Tidak ada hubungan antara usia (p value = 0,327 ; r = -0,151); jenis kelamin (p value = 0,851, r = 0,029); koneksi internet (p value = 0,276 ; r = -0,098); durasi belajar daring (p value = 0,369; r = -0,139) dengan tingkat stres mahasiswa keperawatan. Ada hubungan antara pembelajaran daring (p value = 0,049 ; r = 0,299, usia (p value = 0,018 ; r = 0,355), durasi belajar daring (p value = 0,037; r = 0,316) dengan zoom fatigue pada mahasiswa keperawatan. Tidak ada hubungan antara jenis kelamin (p value = 0,527, r = 0,098), koneksi internet (p value = 0,929 ; r = 0,014) dengan zoom fatigue pada mahasiswa keperawatan. Dosen perlu melakukan inovasi/modifikasi media pembelajaran dengan berbagai aplikasi yang tidak memerlukan konsentrasi yang tinggi, sehingga kelelahan dan stress pada mahasiswa tidak terjadi.

Author Biographies

Flora Sijabat, Universitas Sari Mutiara Indonesia

Nursing

Amila Amila, Universitas Sari Mutiara Indonesia

The Covid-19 pandemic that occurred in Indonesia led to the implementation of online or online learning in educational institutions so that the teaching and learning process can be carried out. In practice, online learning in universities has positive and negative impacts, especially in the health sector. The purpose of the study was to determine the effect of online learning on stress and zoom fatigue as well as the characteristics that affect D III nursing students at Sari Mutiara University, Indonesia. This research is a correlation analytic study with a cross sectional design. The sampling technique used purposive sampling with the number of respondents as many as 44 people. Data collection was carried out by distributing questionnaires through Google Forms which were sent to students by researchers via whatsapp. The bivariate test used to determine the relationship between online learning and the characteristics that affect stress and zoom fatigue is the Spearman correlation test. The results showed that there was a relationship between online learning and stress levels (p value = 0.009 ; r = 0.389). There is no relationship between age (p value = 0.327 ; r = -0.151); gender (p value = 0.851, r = 0.029); internet connection (p value = 0.276 ; r = -0.098); duration of online learning (p value = 0.369; r = -0.139) with the stress level of nursing students. There is a relationship between online learning (p value = 0.049; r = 0.299, age (p value = 0.018; r = 0.355), duration of online learning (p value = 0.037; r = 0.316) with zoom fatigue in nursing students. There is no relationship between gender (p value = 0.527, r = 0.098), internet connection (p value = 0.929; r = 0.014) and zoom fatigue in nursing students. Lecturers need to innovate/modify learning media with various applications that do not require high concentration, so that fatigue and stress on students do not occur.

References

1. Messner, W. (2021). The association of cultural and contextual factors with social contact avoidance during the COVID-19 pandemic. Plos one, 16(12), e0261858.
2. Putri, R. M., Oktaviani, A. D., Utami, A. S. F., Addiina, H. A., & Nisa, H. (2020). Hubungan pembelajaran jarak jauh dan gangguan somatoform dengan tingkat stres mahasiswa UIN Syarif Hidayatullah Jakarta. Perilaku dan Promosi Kesehatan : Indonesian Journal of Health Promotion and Behavior, 2(1), 38-45.
3. Du Plessis, M. (2019). Coping with occupational stress in an open distance learning university in South Africa. Journal of Psychology in Africa, 6, 570–575.https://doi.org/ttps://doi.org/10.1080/ 14330237.2019.1689466.
4. Zaini, M., & Supriyadi, S. (2021). Zoom in fatigue pada mahasiswa keperawatan selama periode pandemic covid-19. JI-KES (Jurnal Ilmu Kesehatan), 5(1), 64-70.
5. Aurora, A., & Effendi, H. (2019). Pengaruh penggunaan media pembelajaran e- learning terhadap motivasi belajar mahasiswa di universitas negeri padang. JTEV (Jurnal Teknik Elektro Dan Vokasional), 5(2), 11-16.
6. Oducado, R. M. F., et al. (2021). Predictors of videoconference fatigue: results from undergraduate nursing students in the philippines. Asian Journal for Public Opinion Research, 9(4), 310-330.
7. Dhir, A ., Kaur, p., Chen, S., Pallesen, S. (2019). Antecendents and consequences of social media fatigue. International Jurnal of Information Management, 48, 193–202.
8. Yu, L., Cao, X., Liu, Z., & Wang, J. (2018). Excessive social media use at work: Exploring the effects of social media overload on job performance. Nformation Technology & People, 6, 1091–1112. https://doi.org/https://doi.org /10.1108/ITP-10- 2016-0237.
9. Fauziyyah, R., Awinda, R. C., & Besral, B. (2021). Dampak pembelajaran jarak jauh terhadap tingkat stres dan kecemasan mahasiswa selama pandemi covid-19. Jurnal Biostatistik, Kependudukan, dan Informatika Kesehatan, 1(2), 113-123.
10. Son, C., Hegde, S., Smith, A., Wang, X., & Sasangohar, F. (2020). Effects of covid-19 on college students’ mental health in the united states: interview survey study. Journal of medical internet research, 22(9), e21279.
11. Firman, F., & Rahayu, S. (2020). Pembelajaran online di tengah pandemi covid-19. Indonesian Journal of Educational Science (IJES), 2(2), 81–89. https://doi.org/10.31605/ijes.v2i2.659.
12. Hifzul Muiz, M., & Sumarni, N. (2020). Pengaruh teknologi pembelajaran kuliah online di era covid-19 dan dampaknya terhadap mental mahasiswa. EduTeach: Jurnal Edukasi Dan Teknologi Pembelajaran, 1(2), 153-165.
13. Sari, M. K. (2020). Tingkat stres mahasiswa s1 keperawatan tingkat satu dalam menghadapi wabah covid 19 dan perkuliahan daring di stikes karya husada kediri. Jurnal Ilmiah Pamenang, 2(1), 30-34.
14. Hasibuan, M, T, D. (2019). Hubungan stres belajar dengan motivasi belajar pada mahasiswa yang menjalani pendidikan di sekolah tinggi ilmu kesehatan murni teguh. Indonesian Trust Health Journal, Vol.2, No.1, 2019
15. Andiarna, F., & Kusumawati, E. (2020). Pengaruh pembelajaran daring terhadap stres akademik mahasiswa selama pandemi covid-19. Jurnal Psikologi, 16(2), 139. https://doi.org/10.24014 /jp.v16i2.10395.
16. Marmi. (2014). Kesehatan Reproduksi. Pustaka Pelajar.
17. Kountul, Y. P. D., Kolibu, F. K., & Korompis, G. E. C. (2018). Hubungan jenis kelamin dan pengaruh teman sebaya dengan tingkat stres mahasiswa fakultas kesehatan masyarakat universitas sam ratulangi manado. Jurnal KESMAS, 7(5).
18. Potter, & Perry. (2005). Buku ajar fundamental keperawatan : konsep, proses, dan praktik (4th ed., Vol. 1). Jakarta : EGC.
19. Hwang, M. Y., Hong, J. C., Tai, K. H., Chen, J. T., & Gouldthorp, T. (2020). The relationship between the online social anxiety, perceived information overload and fatigue, and job engagement of civil servant line users. Government Information Quarterly, 37(1), 101423.
20. Chakraborty, P., Mittal, P., Gupta, M. S., Yadav, S., & Arora, A. (2021). Opinion of students on online education during the covid‐19 pandemic. Human Behavior and Emerging Technologies, 3(3), 357-365.
21. Pustikasari, A., & Fitriyanti, L. (2021). Stress dan zoom fatigue pada mahasiswa selama pembelajaran daring di masa pandemi covid-19. Jurnal Ilmiah Kesehatan, 13(1), 25-37.
22. Sadikin, A., & Hamidah, A. (2020). Pembelajaran daring di tengah wabah covid-19:(online learning in the middle of the covid-19 pandemic). Biodik, 6(2), 214-224.
23. Ahorsu, D. K., et al. (2020). The fear of covid-19 scale: development and initial validation. International Journal of Mental Health and Addiction. https://doi.org/https://doi.org/10.1007/s11469-020-00270- 8.
24. Malik, A. (2020). Correlates of social media fatigue and academic performance decrement A large cross-sectional study. 1707837. https://doi.org/10.1108/ITP-06-2019-0289.
25. Rahardjo, W., Qomariyah, N., Mulyani, I., & Andriani, I. (2020). Early view social media fatigue pada mahasiswa di masa pandemi covid-19: peran neurotisisme, kelebihan informasi, invasion of life, kecemasan, dan jenis kelamin. (59). https://doi.org/ 10.7454/jps.2020.xx.