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All Journal Jurnal Sistem dan Manajemen Industri Jurnal Mitra Teknik Industri
Oktavera, Isnia
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Engineering Industrial & Manufacturing Engineering Transportation

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ANALISIS ERGONOMI BEBAN KERJA MENTAL DAN FISIK TERHADAP PENGENDARA OJEK ONLINE WANITA TERHADAP DIHAPUSNYA PROGRAM LADY GRAB Oktavera, Isnia; Widodo, Lamto; Ahmad
Jurnal Mitra Teknik Industri Vol. 3 No. 2 (2024): Jurnal Mitra Teknik Industri
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmti.v3i2.31990

Abstract

Online motorcycle taxis or commonly referred to as ojols are motorbike taxis that can be ordered via a mobile phone that uses the internet by using an application. As time goes by, online motorcycle taxis in Indonesia have many choices and competitors that have sprung up by creating online motorcycle taxi applications that have advantages in their respective companies. This research aims to analyze the workload experienced and identify the causes of excessive workload felt by female online motorcycle taxi drivers. The research subjects this time were 31 female grab drivers in the cities of Tangerang and Jakarta. The measured workload is physical and mental workload. The benefits of this research are to find out how much the level of workload, both physical and mental, is experienced by female online motorcycle taxi drivers and to find out whether the number of workers is in accordance with the optimal standard of the driver's workload. The purpose of conducting this research is to analyze what kind of mental workload is experienced by female online motorcycle taxi drivers during the abolition of the lady grab program. Measurement of mental workload is carried out by the mental workload measurement method used, namely; NASA-TLX, Nordic Body Map, and RSME (Rating Scale Mental Effort). The calculation result of 79.5 shows the average score borne by female online motorcycle taxi drivers in the high and very high categories. The results of the RSME calculation give an average score of 968.6 with a description of a very heavy mental workload.
Fatigue analysis and design of a motorcycle online driver measurement tool using real-time sensors Soenandi, Iwan Aang; Oktavera, Isnia; Lusiana, Vera; Widodo, Lamto; Harsono, Budi
Jurnal Sistem dan Manajemen Industri Vol. 7 No. 2 (2023): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v7i2.7500

Abstract

Work fatigue is an important aspect and is very influential in determining the level of accidents, especially motorbike accidents. According to WHO, almost 30% of all deaths due to road accidents involve two- and three-wheel­ed motorized vehicles, such as motorbikes, mopeds, scooters and electric bicycles (e-bikes), and the number continues to increase. Motor­cycles dominate road deaths in many low- and middle-income countries, where nine out of ten traffic accident deaths occur among motorcyclists, as in Indonesia. However, until now, in Indonesia, there has been no monitor­ing system capable of identifying fatigue in motorbike drivers in the transportation sector. This research aims to determine fatigue patterns based on driver working hours and create a sensor system to monitor fatigue measurements in real-time to reduce the number of accidents. The research began with processing questionnaire data with Pearson correlation, which showed a close relationship between driver fatigue and driving time and a close relationship between fatigue and increased heart rate and sweating levels. From calibration tests with an error of 3% and direct measurements of working conditions, it was found that two-wheeled vehicle driver fatigue occurs after 2-3 hours of work. With a measurement system using the Box Whiskers analysis method, respondents' working conditions can also be de­ter­mined, which are divided into 4 zones, namely zone 1 (initial condition or good condition), zone 2 a declining condition, zone 3 a tired condition and zone 4 is a resting condition. Hopefully, this research will identify fati­gue zones correctly and reduce the number of accidents because it can iden­tify tired drivers so they do not have to force themselves to continue working and driving their motorbikes. As a conclusion from this research, a measure­ment system using two sensors, such as ECG and GSR can identify work fatigue zones well and is expected to reduce the number of accidents due to work fatigue.
Co-Authors Ahmad Budi Harsono Iwan Aang Soenandi lamto widodo Lusiana, Vera