ANALYSIS OF THE FACTORS IMPACTING THE INCOME OF ONLINE TRANSPORTATION DRIVERS

• Main Author: Lutfia Masduqi, Alif
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/71358
• Institution: Institut Teknologi Bandung

The market share of online transportation services shows an increasing trend in the Southeast Asian region, especially in Indonesia. Many studies have been carried out to examine the income factors of online transportation drivers, but there has been no further research related to income factors in terms of driver account characteristics in the application system. Gojek as one of the online transportation applicators has a special system that is different from conventional motorcycle taxis with a system for managing and distributing orders from passengers to drivers. In this study, an analysis of the factors that affect the driver’s income is carried out in terms of driver account characteristics such as rank level, achievement emblem on the account and driver experience as duration of work. This study uses a quantitative approach with data collection through nonprobability sampling technique with incidental sampling. Correlation test and multiple linear regression modeling were performed with stepwise I method to obtain best regression model of various alternative models. The results showed that there were groups that received priority orders at the same rank level. The number of orders and driver rank greatly affect the driver's income level both simultaneously and partially. Regression models were obtained for the normal rank driver group with R square (R2) of 0.846 r and the priority rank driver group of R square (R2) of 0.428.