REGRESI BERGANDA PENGARUH PENDAPATAN, PENDIDIKAN, DAN PENGALAMAN KERJATERHADAP KINERJA KARYAWAN DI PT HARKAT SEJAHTERA DUSUN PENGKOLAN KEC.BOSAR MALIGAS KAB.SIMALUNGUN
Keywords:
Regresi Berganda , Data Mining, Kinerja KaryawanAbstract
This research aims to analyze the influence of income, education and work experience on the performance of employees of palm oil companies located in Pengkolan Hamlet. Using multiple regression analysis, this research found that income, education and work experience have a significant influence on employee performance. The results of this study show that employees with higher incomes, higher education and longer work experience have better performance. This research provides valuable insights for human resource management in Companies to increase the importance of investing in employee development and providing competitive compensation to increase performance and productivity through effective human resource development strategiesReferences
Ningsih, S., & Dukalang, H. H. (2019). Penerapan metode suksesif interval pada analsis regresi linier berganda. Jambura Journal of Mathematics, 1(1), 43-53.
Janie, D. N. A. (2012). Statistik deskriptif & regresi linier berganda dengan SPSS. Jurnal, April, 52.
Lawendatu, J., Kekenusa, J. S., & Hatidja, D. (2014). Regresi linier berganda untuk menganalisis pendapatan petani pala. d'Cartesian, 3(1), 66-72.
Sulistyono, S., & Sulistiyowati, W. (2018). Peramalan produksi dengan metode regresi linier berganda. PROZIMA (Productivity, Optimization and Manufacturing System Engineering), 1(2), 82-89.
Marcus, G. L., Wattimanela, H. J., & Lesnussa, Y. A. (2012). Analisis regresi komponen utama untuk mengatasi masalah multikolinieritas dalam analisis regresi linier berganda. BAREKENG: Jurnal Ilmu Matematika Dan Terapan, 6(1), 31-40.
Mardiatmoko, G. (2020). Pentingnya uji asumsi klasik pada analisis regresi linier berganda (studi kasus penyusunan persamaan allometrik kenari muda [canarium indicum l.]). BAREKENG: Jurnal Ilmu Matematika Dan Terapan, 14(3), 333-342.
