This research aims to determine the factors influencing the acceptance and use of Mobile Banking using UTAUT2 model in banking companies registered in LQ45. The independent variables used in this research are Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value and Habit. The dependent variable used is Use Behavior. The intervening variable used is Behavioral Intention. The sample in this research was Mobile Banking users from banking companies registered in LQ45, with 280 respondents. The sampling technique used is non-probability sampling with a purposive sampling method, using primary and quantitative data. The analysis technique in this research uses Smart PLS 3.0 by analyzing outer models such as validity and reliability tests, and inner models such as R-Square, Path Coefficient, and Path Analysis. The research results show that Performance Expectancy, Social Influence, Price Value, and Habit have a direct influence on Behavioral Intention. Effort Expectancy, Facilitating Conditions, and Hedonic Motivation have no direct influence on Behavioral Intention. Facilitating Conditions and Behavioral Intention directly influence Use Behavior. Meanwhile, Habit has no direct influence on Use Behavior.