<![CDATA[This study aims to obtain information to a deeper explanation of influence of organizational culture and communication on employee performance. And get the results from data processing about how much influence organizational culture and communication have on employee performance. The research method used is quantitative method, which is a method for studying the object of research by trying to explain the relationship between research variables using statistical calculations. Based on the analysis of the multiple linear regression equation between X1, X2, and Y is Y = 25.475 + 0.098X1 + (-0.0320X2) ……… e, this means that if there is an increase in Organizational Culture by 1 point, Employee Performance will increase to equal 1 point, the employee's performance will increase to 25.475 + 0.098 (1) = 25.573 and if there is an increase in communication by 1 point, the employee's performance will increase to 25.475 + (-0.032) (1) = 25.443. While the results of hypothesis testing with the t test, the results obtained from the organizational culture variable, the value of sig> 0.05 means not significant, while for the communication variable the value of sig> 0.05 means not significant. For the results of the organizational culture variable, the t value = 0.333 and t table = 1.688 and the results of the communication variable, the t value = -0.150 and t table = 1.688, meaning that partially, influence organizational culture has a positive and insignificant relationship between communication variables and employee performance. , while for the Communication variable there is no negative but insignificant relationship to employee performance. Simultaneously proving the hypothesis that Organizational Culture and Communication has an effect on employee ability where F count is less than F table (0.057 <3.26), which means that organizational culture and communication variables together have no and insignificant effect on employee ability. And based on the correlation coefficient analysis, the value of r = 0.57 shows that this value means that the two variables have a strong correlation (relationship). While the results of the coefficient of determination (R2) = 0.003, meaning 0.3%, while the remaining 99.7% is independent variables not not researchedKey Words: Organizational Culture, Communication And Employee Performance]]>
