This study aims to analyze how the influence of transformational leadership, self-efficacy and career development on employee performance with achievement motivation as an intervening variable in female officials in the Riau Islands Provincial Government. The analysis used in this research is parametric and non-parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square). Data analysis with parametric and non-parametric statistics regarding research variables, calibration tests / pilot tests, validity and reliability, Outer model and inner model analysis, as well as discussion of the results of hypothesis testing or Path Analysis. This study uses path analysis to examine relationship patterns that reveal the effect of a variable or set of variables on other variables, both direct and indirect effects. The calculation of the path coefficient in this study was assisted by SmartPLS. The test results in this study found that Transformational Leadership and Career Development had no significant effect on the Performance of Women Officials in the Riau Islands Provincial Government, while Self Efficacy had a significant effect on the Performance of Women Officials in the Riau Islands Provincial Government, Career Development and Transformational Leadership had a significant effect on the Performance of Women Officials in the Riau Islands Provincial Government Transformational Leadership, Self Efficacy and Career Development have a significant effect on Performance with Achievement Motivation as an Intervening Variable on Women Officials in the Riau Islands Provincial Government.
 

This research examines knowledge, skills, behavior, organizational commitment, and performance in the personnel sections of each regional government organization in the Riau Islands Province. The sample used is non-probability sampling, with a study conducted on 133 personnel department employees from various regional government organizations in the Riau Islands Province. The research method is associative with a quantitative approach, utilizing Partial Least Square (PLS) analysis technique with the SmartPLS Version 3.0 program. The results of this study indicate that there is a significant influence of the knowledge variable on the performance variable, a significant influence of the skills variable on the performance variable, no significant influence of the behavior variable on performance, a significant influence of the organizational commitment variable on the performance variable, a significant influence of the knowledge variable on the organizational commitment variable, a significant influence of the skills variable on the commitment variable, no significant influence of the behavior variable on the organizational commitment variable, a direct influence of the skills variable on the performance variable with organizational commitment as an intervening variable, a direct influence of the knowledge variable on the performance variable with organizational commitment as an intervening variable, and no direct influence of the behavior variable on the performance variable through organizational commitment. The influence of knowledge, skills, and behavior on organizational commitment is 46.2%, with the remaining 53.8% influenced by other variables outside this study. Meanwhile, the influence of knowledge, skills, and behavior on performance is 66.1%, with the remaining 33.9% influenced by other variables outside this study.