The impact quality service and performance employees work to influence customers satisfaction at direcção nacional transporte e terrestres Dili, Timor-Leste

The purpose of this study the researchers like to know how the magnitude of the impact quality of Service Performance and customer satisfaction between employees Work At DNTT Dili, Timor-Leste. Methods in this study, namely descriptive, quantitative research using a sample of 93 the respondents, the selection of the sample researchers using (disproportionate Random Sampling) in random order. Based on the results of the analysis and testing of proof the regression analysis using SPSS data analysis application Version 21, service quality and Work Performance had a positive influence in fostering a sense of Satisfaction. Based on regression testing fact data associated with the interpretation of the existing variable i.e., multiple linear regression analysis results indicate that the influence of the variable quality of service has a value of T Count = 0000 significance value of 4,310, While the value for T table = 1,986 with distribution value significance of 5%. Based on the statistics counts researchers concluded that T count < T table (4,310 < 1,986) with the value 0000 significance 0.05, meaning < getting better services provided from employees to consumers then consumers will be more satisfied ( satisfaction) against existing services, as judged from the testing statistics show that a positive significance. So service by employees must be in accordance with the wishes of consumers will increase our satisfaction of consumers. In addition, employee performance variables on DNTT, of the results of the regression analysis in some testing proves that the existence of significant influence among variables Performance against consumer satisfaction, results of the statistical analysis we can know that the variable performance of the Work has a value of T count = 4,310 value 0000 significance, whereas the value for a 1,986 = T table with 5% significance value distribution. Based on the statistics counts researchers concluded that T count < T table (4,310 < 1,986) with the value significance of 0.05, the value 0000 < this means statistically Performance variables have significant effects against Complacency consumers, with a confidence level of 95%, and 5% error rate. In hypothesis testing simultaneously shows that the value of F count is greater than the value 23,863 F table is 3,094. Those results can be that the Ho in decline means that the variable performance Variable quality of service and Work simultaneously has significant effects against table Consumer based Variables (R Square) obtained the number of 0.347 or 34.7%. This shows that the percentage of independent variables X 1 and X 2 against Y of 0.347 or 34.7%. While remaining 100%-34.7% = 65.3% are affected or explained by other variables that are not included in this research model.