Pengaruh SIMA, CAR,NPF Terhadap Profitabilitas Dengan FDR Sebagai Variabel Intervening

doi:10.30596/jakk.v4i2.7061

Cited by 1 publication

(3 citation statements)

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“…The t-test is used to see the level of significance of the independent variables affecting the dependent variable individually or individually. This test is carried out partially or individually, using a statistical t test for each independent variable, with a certain level of confidence (Manaf & Bawono 2021). 4 displays the regression equation model is Y = 18.952 -0.409 X1 -0.349X2 + 0.843X3 -0.127Z + 0.611.…”

Section: Multiple Linear Regression Analysismentioning

confidence: 99%

“…The F-test identifies how far the independent variables affect the dependent variable (Manaf & Bawono 2021). 5 shows that the F-stat value is 56,742 with a probability significance value of 0.000.…”

Section: Simultaneous Testing (Anova)mentioning

confidence: 99%

“…The coefficient of determination (R²) shows the extent of the relationship between the dependent variable and the independent variable or the extent to which the contribution of the independent variable affects the dependent variable Manaf & Bawono (2021). Analysis of the coefficient of determination (R²) is used to determine how big the percentage (%) of the overall effect of the independent variables on the dependent variable.…”

Section: Coefficient Of Determination (R2)mentioning

confidence: 99%

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The Effect of Competence, Compensation, Workload, and Work Motivation toward Employee Performance

Hutabarat,

Sihombing,

Herlambang

et al. 2023

IJFEB

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In today's era of competition, every company must develop and improve the performance of its employees. Many factors are involved in improving company performance. One of the important factors that the company must consider in achieving its goals is the human resource (HR) factor. This quantitative study involved as many as 140 staff of PT. PLN (Persero) UIP Sumbagut. The data was analyzed using descriptive and inferential statistics, including multiple linear regression. The result shows that competence and compensation significantly and negatively affect employee performance. Besides that, the workload significantly and positively affects employee performance. Also, this study found that compensation significantly and positively affects work motivation. In addition, the workload negatively and significantly affects work motivation. The motivation variable has a negative and significant effect on employee performance, and the competence variable negatively affects employee performance. Also, the compensation variable has a significant negative effect on employee performance. The workload Work motivation does not mediate the relationship between competence, compensation, and workload on employee performance. In conclusion, this study has examined the mediating role of motivation and found that its variable does not play a significant role in the relationship between competence, compensation, and workload on employee performance.

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Section: Multiple Linear Regression Analysismentioning

confidence: 99%

Section: Simultaneous Testing (Anova)mentioning

confidence: 99%

Section: Coefficient Of Determination (R2)mentioning

confidence: 99%

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