Pengaruh Upah, Kepemimpinan Islami dan Lingkungan Kerja Terhadap Kinerja Karyawan (Studi Kasus pada KSPPS BMT Surya Madani Ngemplak, Boyolali)

Authors

  • Putri Wulan Rahmahwati Institut Teknologi Bisnis AAS Indonesia

Keywords:

Wages, Islamic Leadership, Work Environment, Employee Performance

Abstract

The aim of this research is to determine whether wages, Islamic leadership and work environment influence employee performance at KSPPS BMT Surya Madani Ngemplak, Boyolali. This type of research is quantitative, data collection techniques are by distributing questionnaires, interviews, documentation and literature studies. The dependent variables are wages, Islamic leadership and work environment. The sample used was a saturated sampling of 40 KSPPS BMT Surya Madani employee respondents. Data analysis uses multiple linear regression analysis using the IBM SPSS 23 software application. The data analysis method used is descriptive statistical test, validity test, reliability test, classical assumption test while for hypothesis testing uses multiple linear regression test, t test, and coefficient test determination. It is known that the calculated t value for the wage variable is 2.160 which is greater than the t table of 2.028, so this means that the wage variable partially has a significant impact on employee performance. If the calculated t value for the Islamic leadership variable is 0.895, which is smaller than the t table of 2.028, this means that the Islamic leadership variable partially does not have a significant effect on employee performance. The calculated t value for the work environment variable is 1.914, which is smaller than the t table value of 2.028, so this means that the work environment variable partially does not have a significant effect on employee performance. The significant value of the F test is 0.000. From these results it is known that the significance value is smaller than 0.05 (5%), thus it can be concluded that this regression model is suitable for use and the independent variables together have an effect on the dependent variable.

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Published

25-06-2024