The purpose of this research is to determine: (1) The partial influence of leadership style and work environment on employee performance at PT. Color Warni Investama with an Fcount value of 57.061 in Sig. (P) = 0.000.  or Fcount > Ftable (57.061 > 3.14); (2) To determine the influence of leadership style and work environment simultaneously on employee performance at PT. Colorful Investama; (3) The leadership style variable is the dominant variable that influences employee performance. The sample used in this research was 65 people. In this research, data analysis uses multiple linear regression statistics with the help of the SPSS program. The results of the research show that: (1) leadership style and work environment variables simultaneously have a significant effect on employee performance, (2) leadership style and work environment variables partially have a significant effect on employee performance, (2) leadership style variables have a significant effect on employee performance with a tcount value of 6.346 in Sig. (P) = 0.001 or tcount > ttable (6.3469>1.998); (3) that work environment variables have a significant effect on employee performance; (4) The leadership style variable is the dominant variable that influences employee performance. This can be seen from the standard leadership style beta coefficient of 0.551 > the work environment beta coefficient of 0.374.

This research aims to: (1) determine and analyze the simultaneous influence of competency and career development on employee performance at PT. , (3) To find out and analyze which variables have a dominant influence on employee performance at PT. In this research, the type of research uses a quantitative approach, the sample is 31 people, data collection uses questionnaires and data documentation. Meanwhile, the analysis uses descriptive analysis and inferential analysis. Descriptive analysis to determine the high or low levels of the observed variables with the help of data processing using the SPSS program and inferential analysis using multiple linearity regression statistics. The research results show that: (1) Competency and career development variables simultaneously influence employee performance, because the Fcount = 24.089 > Ftable = 3.34; (2) Competency variable value tcount= 2.683 > ttable = 2.048 in sig. =0.12. there is a significant influence between competency on employee performance, (3) Career development variable value t = 2.578 > ttable = 2.048 on sig. = 0.15, there is a significant influence between career development on employee performance, (4) the competency variable has a dominant influence on employee performance, because the standard value of the competency beta coefficient = 0.440 > the standard beta coefficient of career development = 0.422.