The Relationship Between Working Time and Fatigue of Online Motorcycle Taxi Drivers in Medan

Ramadanil Ramadanil; Susilawati Susilawati; Rapotan Hasibuan

doi:10.37899/journallamedihealtico.v5i4.1496

Ramadanil Ramadanil Department of Public Health Science, Faculty of Public Health, State Islamic University of North Sumatra
Susilawati Department of Public Health Science, Faculty of Public Health, State Islamic University of North Sumatra
Rapotan Hasibuan Department of Public Health Science, Faculty of Public Health, State Islamic University of North Sumatra

DOI: https://doi.org/10.37899/journallamedihealtico.v5i4.1496

Keywords: Rest, Work Fatigue, Online ojek

Abstract

A common problem among online motorcycle taxi drivers that can negatively affect their health and performance is fatigue. One factor that can reduce the level of fatigue is long working hours. Excessive working time can increase work errors due to increased fatigue and reduced sleep hours. This study aims to determine the effect of working time on fatigue of online motorcycle taxi drivers in the field of struggle. This research is quantitative using observational analytic method with cross sectional approach with univariate and bivariate analysis using chi-square test. The sampling technique with total sampling of 97 online motorcycle taxi riders. This study shows that there is an effect of working time with fatigue in online motorcycle taxi drivers in Medan city with a significance value of 0.00 <0.05. this study is that there is a relationship between the effect of working time and fatigue of online motorcycle taxi drivers in the city of Medan and for online motorcycle taxi drivers in the city of Medan to pay more attention to conditions while working, and not to work late at night. Because it can cause fatigue and worsen their sleep quality so as to develop a degree of health and safety in driving.

References

Adisty, P. (2023). Hubungan Durasi Kerja dengan Tingkat Kelelahan Kerja pada Pedagang di Pasar Karangayu Kota Semarang. 5(1), 243–249.

Afriansyah, P., Kesehatan, S., & Indonesia, M. (2022). MENTALLY WORK ASSESSMENT AND EXHAUSTION WORK COMPLAINT IN. January, 166–176. https://doi.org/10.20473/ijosh.v6i2.2017.166-176.

Agustina, A., & Lupita, L. (2019). Faktor-Faktor yang Berhubungan dengan Tingkat Kelelahan Kerja pada Pengemudi Ojek Online di Wilayah Jakarta Timur Tahun 2019. https://api.semanticscholar.org/CorpusID:265793998

Casey, G. J., Miles-Johnson, T., & Stevens, G. J. (2024). Heavy vehicle driver fatigue: Observing work and rest behaviours of truck drivers in Australia. Transportation Research Part F: Traffic Psychology and Behaviour, 104, 136–153. https://doi.org/https://doi.org/10.1016/j.trf.2024.05.016

Cho, H., & Steege, L. M. (2021). Nurse fatigue and nurse, patient safety, and organizational outcomes: A systematic review. Western Journal of Nursing Research, 43(12), 1157-1168. https://doi.org/10.1177/0193945921990892

Claudya, S. (2020). Pengaruh Kualitas Layanan, Harga, Dan Promosi Terhadap Keputusan Pembelian Jasa Ojek Online (Study Kasus Pengguna Ojek Online GrabBike di Kota Banjarmasin).

Datu, M. M. D., Kawatu, P. A., & Mandagi, C. K. (2019). Hubungan antara lama kerja dengan kelelahan kerja pada pengendara ojek online komunitas Manguni Rider Online Sario. Kesmas, 8(6).

Dyah Syahfitri, R. (2021). Seminar Nasional Kesehatan Masyarakat IV Seminar Nasional Kesehatan Masyarakat IV. November, 80–84.

Ferusgel, A., Butar-butar, M. H., & Chaniago, A. D. (2021). OCCUPATIONAL SAFETY AND HEALTH EDUCATION. 3(September), 379–386.

Ghaffarpasand, O., Talaie, M. R., Ahmadikia, H., Khozani, A. T., Shalamzari, M. D., & Majidi, S. (2021). Real-world evaluation of driving behaviour and emission performance of motorcycle transportation in developing countries: A case study of Isfahan, Iran. Urban Climate, 39, 100923. https://doi.org/https://doi.org/10.1016/j.uclim.2021.100923

Hakzah, H., Yusuf, S., & Pawelloi, A. I. (2022). The Importance of Motorcycle Taxi Transport of Agricultural Products and Operator Income in Indonesia. The Open Transportation Journal, 16. https://doi.org/https://doi.org/10.2174/18744478-v16e2201071

Huu, D. N., & Ngoc, V. N. (2021). Analysis study of current transportation status in Vietnam’s urban traffic and the transition to electric two-wheelers mobility. Sustainability, 13(10), 5577. https://doi.org/10.3390/su13105577

Indah, W. (2020). Hubungan Kelebihan Waktu Kerja dengan Kelelahan Kerja dan Kinerjapada. 1(3), 1715–1724.

Jalali, M., Esmaeili, R., Habibi, E., Alizadeh, M., & Karimi, A. (2023). Mental workload profile and its relationship with presenteeism, absenteeism and job performance among surgeons: The mediating role of occupational fatigue. Heliyon, 9(9), e19258. https://doi.org/https://doi.org/10.1016/j.heliyon.2023.e19258

Jeffri, N. F. S., & Awang Rambli, D. R. (2021). A review of augmented reality systems and their effects on mental workload and task performance. Heliyon, 7(3). https://doi.org/10.1016/j.heliyon.2021.e06277

Kida, R., & Takemura, Y. (2022). Working Conditions and Fatigue in Japanese Shift Work Nurses: A Cross-sectional Survey. Asian Nursing Research, 16(2), 80–86. https://doi.org/https://doi.org/10.1016/j.anr.2022.03.001

Kıncal, İ., & Irklı, F. A. (2024). Vocal Fatigue and Its Relationship with Vocal Hygiene and Work-Related Factors in Professional and Nonprofessional Voice Users: A Multiple Linear Regression Model Study. Journal of Voice. https://doi.org/https://doi.org/10.1016/j.jvoice.2024.05.001

Nieznański, M., Gasiul, H., Strus, W., Obidziński, M., Kobos, Z., & Rowiński, T. (2020). Relationship between self-reported symptoms of fatigue and cognitive performance: switch cost as a sensitive indicator of fatigue. Psihologijske teme, 29(2), 199-228. https://doi.org/10.31820/pt.29.2.1

Paramita, N. K. S., & Suwandana, I. G. M. (2022). Effect of job stress, work conflict, and workload on employees' performance. European Journal of Business and Management Research, 7(4), 125-128. https://doi.org/10.24018/ejbmr.2022.7.4.1508