This study is considered quantitative descriptive which describes a systematic and accurate analysis of the facts and the nature of an object or an online taxi partner. This study applies the causal research approach, which aims to reflect causal relationships on the observed phenomena. The purpose of this research is to analyze the effect of tariff factor, incentive factor, location factor, working hour factor, education factor toward partner income either in directly and indirectly. The researcher used the technique of sampling with random sampling. The sample of this research is 96 respondents from Slovin formula. The research empirical results have several found that the tariff factor has a positive and significant effect on partner incomes. Incentive factors have a positive effect but are not significant to partner income. Location factors have a positive and significant impact on partner income. Working hours factor has a positive and significant effect on partner income. Educational factors have a positive and significant effect on partner incomes. The tariff factor has a positive and significant effect on partner income through education. Incentive factors have a positive and insignificant impact on partner income through education. Location factors positively and significantly affect partner income through education. Working hours factor has a positive and insignificant impact on partner income through education. The researchers suggested GoCar management enforce the surcharge method based on the destination location. upgraded the income feature that describes the large partner income. Upgrade to fleet vendor app. For vendor management to monitor fleets with data restrictions. Vendors map the partner locations in the vendor to customize the supply required by GoCar. For online taxi partners to understand the correct system in GoCar correctly. In order to adapt the system in the workforce and provide income targets. The last thing to do is controlling earnings each week.