Influence of Workload, Job Stress And Compensation on Employee Performance At Kopi Kampoeng Id

Abstract

This study aims to determine the effect of workload, work stress and compensation on the performance of Kampoeng Id Coffee employees. This type of research is quantitative. The population in this study were Kopi Kampoeng Id employees. The sampling technique used saturated sampling technique with a sample of 30 respondents which were processed using SPSS Statistics 25 software. The data collection technique uses a questionnaire that has been tested for validity and reliability. The data analysis technique used is multiple linear regression analysis. The results of this study indicate that the three research variables have a partial effect, namely with the provisions of the influence of significance that has been tested with SPSS which shows each number in the following variables : t count > t table, namely 2.853 > 1,706 and significant level 0,028 > 0,05 variable workload partially significant effect on employee performance. t  count  >  t  table,  namely  2,168  >  1,706  and  significant  level  0,025  >  0,05  the  variable  of  work  stress  has  a  significant  effect  on  employee  performance. t  count  >  t  table,  namely  3,355  >  1,706  and  significant  level  0,019  >  0,05  compensation  variables  have  a  significant  effect  on  employee  performance. Then  simultaneous  testing  which  can  be  seen  from  the  F  value  of  the  variable  Workload,  work  stress,  and  compensation  has  a  significant  effect  on  employee  performance. These  results  is  indicated  by  the  F  test  obtained  Fcount  >Ftable,  namely  5,551  >  2,98  and  Sig. F  0,018  <  0,05. Test  the  coefficient  of  determination  (Adjusted  R  Square)  that  the  dependent  variable  Karuawan's  performance  (Y)  can  be  explained  45.9%  by  the  independent  variables  Workload  (X1),  Work  Stress  (X2),  and  Compensation  (X3). While the remaining 54.1% is influenced by other variables not examined in this study. The multiple linear analysis test shows that the variable that has the dominant influence on workload is indicated by the greatest beta coefficient value, namely 0.534.