This study aims to analyze the effect of financial compensation on the performance of Maxim Bike online application drivers in Bekasi City. This study used a quantitative approach with a causal associative method. Primary data were collected through questionnaires from 100 Maxim Bike drivers selected using purposive sampling. The data were analyzed using simple linear regression with SPSS version 26. The results show that financial compensation has a positive and significant effect on driver performance. The calculated t-value of 8.041 is greater than the t-table value of 1.984, with a significance value of 0.000 < 0.05. The regression equation is Y = 17.686 + 0.649X. The R value of 0.631 indicates a positive relationship, while the R Square value of 0.398 indicates that financial compensation explains 39.8% of the variation in driver performance. The remaining 60.2% is explained by other factors outside this study. These findings indicate that improving financial compensation schemes can support better performance among Maxim Bike drivers in Bekasi City.
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