PENGARUH MOTIVASI KERJA KOMPENSASI, DAN LINGKUNGAN KERJA TERHADAP KINERJA KARYAWAN DI PT. TARU MARTANI 1918 YOGYAKARTA

Abstract

This research aims to determine the strong influence of Work
Motivation, Compensation, and Work Environment on Employee
Performance at PT. Taru Martani 1918 Yogyakarta.
This type of research uses quantitative research methods. The
population in this study were all employees of PT. Taru Martani 1918
Yogyakarta, namely 206 employees and the sample in this study were
some employees of PT. Taru Martani 1918 Yogyakarta, namely 70
employees. This research uses primary data sources by distributing
questionnaires directly where respondents only choose the answers
provided. The analytical tests used in this research are research
instrument tests, classical assumption tests, multiple linear regression
analysis tests, t and F hypothesis tests, R correlation coefficient tests, and
coefficient of determination tests.
The results of the F test show a significant F value of 0.000 <0.05 and
a correlation coefficient value of R Square of 0.920. Thus, it can be
concluded that the variables Work Motivation, Compensation and Work
Environment have a strong and significant influence on the performance of
PT employees. Taru Martani 1918 Yogyakarta, so H1 is accepted. Based
on the results of the t test, the Work Motivation variable (X1) shows a
significance value of 0.000 < 0.05, so that the Work Motivation variable
has a significant effect on Employee Performance, so H2 is accepted. The
Compensation Variable (X2) shows a significance value of 0.000 < 0.05,
so that the Compensation variable has a significant effect on Employee
Performance, so H3 is accepted. The Work Environment variable (X3)
shows a significance value of 0.007 <0.05, so that the Work Environment
variable has a significant effect on Employee Performance, so H4 is
accepted. The correlation coefficient R is 0.959, which means that the

Rayen & Edi - Pengaruh Motivasi Kerja, Kompensasi dan Lingkungan

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independent variable and the dependent variable show a very strong
relationship. The coefficient of determination (Adjusted R Square) obtained
an Adjusted R Square value of 0.917 or 91.7% and the remaining 8.3%
was influenced by other variables not examined in this research.