Faktor Risiko Kelelahan pada Pengendara Ojek Daring di Jabodetabek dan Denpasar

Manuel, Josua Aditya; Wirawan, I Made Ady

doi:10.30597/mkmi.v16i2.9078

Akses terbuka Jurnal

Faktor Risiko Kelelahan pada Pengendara Ojek Daring di Jabodetabek dan Denpasar

Media Kesehatan Masyarakat Indonesia · Vol. 16 No. 2 (2020) · hlm. 161–170

DOI: 10.30597/mkmi.v16i2.9078
ISSN: 2356-4067, 0216-2482
Terbit: 2020-06-29
Penerbit: Faculty of Public Health, Hasanuddin University, Makassar
Bahasa: en
Lisensi: creativecommons.org/licenses/by-nc-sa/4.0

Abstrak

Fatigue in motorists is a serious problem that causes traffic accidents and deaths every year, including online motorcycle taxi riders. Motorcycle riders contribute 72.7% to all injuries caused by traffic accidents in Indonesia. This study aims to determine the risk factors of fatigue in online motorcycle taxi riders based on demographic characteristics, job characteristics, and work stress. A cross-sectional study was conducted involving 306 online motorcycle taxi riders in Jabodetabek and Denpasar between January and June 2018, which was selected by convenience sampling. Data were collected through interviews using questionnaires and analyzed using multiple logistic regression with the forward LR method. The results showed that 68.1% of online motorcycle taxi riders experienced fatigue. The risk factors associated with fatigue in online motorcycle taxi drivers were work stress (AOR=3.66;95%CI=2.01-6.66), lack of physical activity (AOR=2.11;95% CI=1.27-3.51), duration of sleep <7 hours (AOR=1.73;95%CI=1.04-2.87), marital status (AOR=2.07;95%CI=1.18-3.64), and age <30 years (AOR=2.52; 95%CI=1.43-4.45). Meanwhile, the work area, nutritional status, rest duration, and other jobs were not proven to be related to work fatigue. Fatigue in online motorbike riders is associated with work stress, physical activity, sleep duration, marital status, and age, so preventive measures can be applied by considering these factors.

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Udayana University
Universitas Dhyana Pura
Universitas Bali Internasional
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Rekan penulis	Organisasi	Artikel bersama
Ni Made Swasti Wulanyani	Udayana University	2
I Putu Dedy Kastama Hardy	Universitas Dhyana Pura	1
I Gusti Agung Ayu Sherlyna Prihandhani	Udayana University	1
Gusti Ayu Krisma Yuntari	Udayana University	1
Ni Nyoman Sri Budayanti	Udayana University	1
Putu Eka Arimbawa	Universitas Bali Internasional	1
Pande Putu Januraga	Udayana University	1
Anak Agung Sagung Sawitri	Udayana University	1
Ni Wayan Tianing	Udayana University	1
Ni Made Utami Dwipayanti	Afiliasi tidak diketahui	1
Dyah Kanya Wati	Udayana University	1
Desak Putu Yuli Kurniati	Udayana University	1
Ni Luh Putu Rita Primayuni	Udayana University	1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/mkmi/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.

Metadata asli (oai_dc)

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	<dc:title xml:lang="en">Faktor Risiko Kelelahan pada Pengendara Ojek Daring  di Jabodetabek dan Denpasar</dc:title>
	<dc:creator xml:lang="en">Manuel, Josua Aditya</dc:creator>
	<dc:creator xml:lang="en">Wirawan, I Made Ady</dc:creator>
	<dc:subject xml:lang="en">Kelelahan kerja</dc:subject>
	<dc:subject xml:lang="en">kecelakaan</dc:subject>
	<dc:subject xml:lang="en">ojek daring</dc:subject>
	<dc:description xml:lang="en">Fatigue in motorists is a serious problem that causes traffic accidents and deaths every year, including online motorcycle taxi riders. Motorcycle riders contribute 72.7% to all injuries caused by traffic accidents in Indonesia. This study aims to determine the risk factors of fatigue in online motorcycle taxi riders based on demographic characteristics, job characteristics, and work stress. A cross-sectional study was conducted involving 306 online motorcycle taxi riders in Jabodetabek and Denpasar between January and June 2018, which was selected by convenience sampling. Data were collected through interviews using questionnaires and analyzed using multiple logistic regression with the forward LR method. The results showed that 68.1% of online motorcycle taxi riders experienced fatigue. The risk factors associated with fatigue in online motorcycle taxi drivers were work stress (AOR=3.66;95%CI=2.01-6.66), lack of physical activity (AOR=2.11;95% CI=1.27-3.51), duration of sleep &amp;lt;7 hours (AOR=1.73;95%CI=1.04-2.87), marital status (AOR=2.07;95%CI=1.18-3.64), and age &amp;lt;30 years (AOR=2.52; 95%CI=1.43-4.45). Meanwhile, the work area, nutritional status, rest duration, and other jobs were not proven to be related to work fatigue. Fatigue in online motorbike riders is associated with work stress, physical activity, sleep duration, marital status, and age, so preventive measures can be applied by considering these factors.</dc:description>
	<dc:publisher xml:lang="en">Faculty of Public Health, Hasanuddin University, Makassar</dc:publisher>
	<dc:date>2020-06-29</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/mkmi/article/view/9078</dc:identifier>
	<dc:identifier>10.30597/mkmi.v16i2.9078</dc:identifier>
	<dc:source xml:lang="en">Media Kesehatan Masyarakat Indonesia; Vol. 16 No. 2: JUNI 2020; 161-170</dc:source>
	<dc:source>2356-4067</dc:source>
	<dc:source>0216-2482</dc:source>
	<dc:source>10.30597/mkmi.v16i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/mkmi/article/view/9078/pdf</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2020 Josua Aditya Manuel, I Made Ady Wirawan</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
</oai_dc:dc>