THE EFFECT OF WORK-LIFE BALANCE AND WORK STRESS ON AIR CREW EMPLOYEES' COMMITMENT OF THE AIR POLICE DIRECTORATE

In the study, the population was the Air Crew of the Air Police Directorate totaling 200, a sample of 20% of the population of 40 people. The t-value for X1 (Work-Life Balance) was 2.691, the t-table value for N = 40 was 2.021. So 2.691> 2.021, because t count> t table, then H0 is rejected and Ha is accepted, it is concluded that Work-Life Balance (X1) has an influence on Work Commitment, The t-value for variable X2 (Job Stress) was 2.573, while the t-table value for N = 40 was 2.021. So 2.573> 2.021, because t count> t table, then H0 is rejected and Ha is accepted, it can be concluded that Work Stress (X2) has a good influence in improving service quality, This is evident from the results obtained that the t-value is greater than the t-table value. In the ANOVA results above, it shows the F count value for both variables, namely Work-Life Balance (X1) and Job Stress (X2), the F count value is 7.860. While F table ( 0.05) N = 40 is 2.84. So F count > F table or 7.860 > 2.84. Thus H0 is rejected and Ha is accepted. It can be concluded that between Work Life Balance and Job Stress together (simultaneously) have a good effect in increasing Work Commitment. This is proven by the calculated F value obtained is greater than the F table value that has been set. The R value (large) shows the combined relationship between the two independent variables X1 and X2 to the dependent variable Y is 0.546. This shows that the two independent variables, namely X1 and X2, together have a significant relationship of 54.6%. The remaining 45.4% is related to other factors. And the R Square value of 0.298 means that the two variables X1 and X2 together have an effect of 29.8% and the remaining 70.2% is influenced by other factors not observed by the author.