Measurement of Physical and Mental Workload in Onlline Ojek Drivers: A Case Study in Serang City

Abstract

The development of online motorcycle taxi transportation has received a good response in the community. With this application, it makes it easier for people to order motorcycle taxis more practically. Many online motorcycle taxi drivers have complaints while working, one of which is the obligation to meet life's necessities which causes the physical and mental workload to increase. This study aims to measure the physical and mental workload of online motorcycle taxi drivers in Serang City. Data collection was carried out by measuring heart rate with a Polar H10 and filling out the NASA-TLX questionnaire which was distributed to online motorcycle taxi drivers who were willing to be respondents. Data processing starts from measuring heart rate, with an average %CVL value obtained of 40.08%. This value is included in the physical workload category that requires improvement. Mental workload data, calculated through the NASA-TLX method, averaged 74.20, which is classified as high. To alleviate these workloads, it's suggested to incorporate 90-minute break periods, redesign automatic motorcycles with extra footrests, use energy sprays, implement road congestion detection tools, enhance the quality of ride-hailing apps, and minimize exposure to heat stress.