Unemployment rate of vocational high school graduates is a big problem in developing country like Indonesia, so they have to develop their ability to employ earlier. Schools become one of important factors to optimize employability development of the students.The more they are satisfied with the school, the more they have higher needs to grow, develop themselves to achieve their goal of work. This study aims to determine the contribution of school satisfaction and the dimensions to employability development of the students. The study was conducted to 368 vocational high school students in West Java, Indonesia. The result indicates that school satisfaction was positively contribute to employability development.Achievement, school management, teacher-student relationship, and academic learning were play significant role to employability development. Create the schoolto be more positive environment for student can make them develop optimally. Therefore, they can prepare their readiness better to work after graduate from vocational high school.Lisrel and SPSS 23 were used in the data analysis. There are several stages performed in doing data analysis: first we used a confirmatory factor analysis using Lisrel with maximum likelihood to test the DIF of each items in both instruments used (school satisfaction and employability development). Second, a test of Cronbach Alpha coefficient was performed to check the reliability of the instruments. The third step was testing of the correlation between variables (Cohen & Cohen, 2009). Fourth, the regression analysis were performed in the prerequisite test to checkedthe normality, linearity, homoscesdasity, and autocorrelation (Hayes, 2018). Based on the test results of the entire regression analysis, the requirements were fulfilled. The data had normal distribution, data plot were spread,and did not produce a certain pattern so there was no heteroscesdaticity in this case, the value of VIF (Variance Inflation Factor) < 10 (the test result value of VIF = 1.0) and the value of tolerance > 0.01 (the test results was 1.0) indicating no multicollinearity. The value of Durbin Watson was 1.842 indicating the autocorrelation is not happened. Based on the results, the regression analysis could be performed at the next step. Regression analysis was accomplished in order to be able to predict the contribution of independent variables or in this case, every dimension in school satisfaction towards employability development.
ResultsThe background data of respondents who participated in this research is listed in table 1.Based on the table, most of the respondents were male and 48.4% of them were actively participating in school organizations. Respondents came from several different study program such asaccounting, administration, pharmacy, computer technology, and automotive. Students were mostly (62.2%) from accredited schools categorized as very good (A).