ABSTRACT
DODO RIOKO. Influence of Self-concept and motivation on Performance of Production Employees at PT SANYO Disi-Division, Depok. Scientific Paper, Jakarta: Study Program of Economics, Concentration of Offices Administrative Education, Economics and Administration Department, Faculty of Economics, State University of Jakarta, June 2012.
This study aims to determine whether there is influence between self-concept and motivation with performance on employees PT. SANYO Disi-Division, Depok.The study was conducted from April to June 2012. The reseach method is used survey method with the correlational approach. The study population was all production employees control unit PT SANYO Disi-Division, as much as 654 employees, and affordable population of this study is an Digital Still Camera (DSC) Production division which amounts to 140 employees. The samples used as many as 100 employees by using simple random sampling technique. Techniques of data analysis using SPSS 17.0 begins with finding the test requirements analysis test for normality using the Kolmogorov Smirnov method and obtained the value of X 1 , X , and Y, and Residual 0.200 which are all more than the 0.05 then the data are normally distributed. Linearity test can be seen from the results output Test of Linearity at 0.05 significance level. The results of linearity test X 2 (Self Concept)
with Y (Performance) of 0.000 which is less than the 0.05, it can be concluded the data X (Self Concept) with Y (Performance) has a linear relationship. Then the results of linearity test X
(Motivation) and Y (Performance) of 0.000 which is less than the 0.05, it can be concluded the data X 2 (Motivation) and Y (Performance) also has a linear relationship. Then look for the classic assumptions test the multicollinearity test. A good regression model requires the absences of multicollinearity probelms. The results obtained are the Tolerance values of 0.919 which means more than 0.1 and the Variance Inflation Factor (VIF) 1.089 which means less than 10. Thus, it can be concluded that the regression model didn’t occur multicollinearity. Then look for heteroskedastisitas test to Glejser test. A good regression model requires the absences of
heteroskedastisitas problem. Significance value of X 2 (Self Concept) for 0,164>0,05 and the significance of X 2 1 (Motivation) for 0,623>0,05. Since the significance value of more than 0.05 the the regression model didn’t occur heteroskedastisitas. Regression equation obtained Y = 15,609 + 0,336 X + 0,337 X 2 . Test the hypothesis that the F Test in ANOVA tables produces F
(29,092) > F table (3,09), this means that X 1 (Self Concept) and X (Motivation) simultaneously
affect Y (Performance). T test produces T count of X 1 2 (Self Concept) is 4,912 and T count of X 2
(Motivation) is 4,193 and T table is 1.66. Because T count count > T , it can be concluded that there is a positive influence on the self-concept with motivation with performance. Then a coefficient of determination of test result obtained 37,5%, the performance variable (Y) determined by X
(Motivation)