PENGARUH KEMAMPUAN KERJA DAN TUNJANGAN KESEJAHTERAAN TERHADAP PRESTASI KERJA KARYAWAN PADA PT. GRAHA SAWIT MAKMUR DI DESA SEI SIJENGGI KECAMATAN PERBAUNGAN KABUPATEN SERDANG BEDAGAI

This study aims to determine the effect of work ability and welfare benefits on employee performance at PT. Graha Sawit Makmur in Sei Sijenggi Village, Perbaungan District, Serdang Bedagai Regency. The population in this study are employees of PT. Graha Sawit Makmur as many as 100 respondents. The number of samples is 100 employees of PT. Graha Sawit Makmur. The sampling technique in this research is the saturated sampling technique. The data analysis technique that the writer uses in this research is descriptive quantitative. The data collection used is by using a questionnaire given to the respondents. The data is processed using SPSS 20.0 for windows. The data analysis technique used is multiple linear regression, with Y = 10,694 + 0.849 X1+0.627 X2+ e. The results of the analysis obtained that the t-count value for the workability variable (X1) was 6.636 when compared to the t-table value of 1.660. Then the t-count obtained is greater than the t-table value or 6.6361.660. The calculated t value for the Welfare Allowance variable (X2) is 5,602 when compared to the t table value of 1,660. So it can be concluded that the variables X1 and X2 have a positive and significant effect on work performance. The calculated f value is 1577.695 with a sig level of 0.000, therefore the sig value is 0.000 0.05 and the calculated F value is 1577.695 F table 2.70 this shows that Ho is rejected so it can be concluded that the independent variables X1, and X2 simultaneously have a positive and significant effect on the dependent variable Y. The value of R shows a multiple correlation, namely the ability to work and work benefits is 0.985 or 98.5%. This means that the relationship is close, the larger R means the closer the relationship. R square (R2) or the square of R shows the coefficient of determination is 0.970 or 97%, meaning that the percentage of influence between work ability and work benefits on work performance. Used for one independent variable, while more than one independent variable should use Adjusted R Square. Adjusted R Square is the value of R2 that is adjusted so that the image is closer to the quality of the assessment model in the population. From the table above, it can be read that Adjusted R Square (R2) is 0.970 or 97% while the remaining 3% is explained by other factors. Keywords: Work Ability, Welfare Benefits and Employee Performanc