The purpose of this study is to investigate how significant influence of online motorcycle ojek drivers’ characteristics towards mental workload based on three categories: under load, optimal and overload. Moreover, this study also analyzed using two perspectives: burdened and unburdened perspectives with NASA TLX as a measurement method. The research methodology used integrated fields research – non-parametric comparative. Determination of the sample used the Lemeshow method with a total of 70 samples. The test technique used Chi Square and intervention development. The findings of three categories achieved that there was a significant influence of Body Mass Index (BMI) on online motorcycle ojek drivers’ Mental with a score 0.070<0.1. Furthermore, there was a substantial effect of gender to online motorcycle ojek drivers’ frustration with score 0.062<0.1. However, the analysis using two categories with burdened and unburdened using NASA TLX demonstrated that there was no effect of drivers’ mental, physical, temporal, performance, frustration and effort towards mental workload.