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Journal : Syntax Literate: Jurnal Ilmiah Indonesia

Pengaruh Pelatihan, Motivasi dan Loyalitas Kerja Terhadap Kinerja Karyawan Hamdani Hamdani; Rani Komalasari; Najmi Muna; Lina Anatan
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (752.308 KB) | DOI: 10.36418/syntax-literate.v7i8.9293

Abstract

Penelitian ini bertujuan untuk membuktikan pengaruh pelatihan, motivasi, dan loyalitas kerja terhadap kinerja karyawan pada Divisi Sekretaris Perusahaan di PT BFM Kota Bandung baik secara parsial maupun simultan. Metode penelitian yang digunakan adalah penelitian kuantitatif dengan pendekatan deskriptif dengan jumlah sampel responden 35 orang karyawan. Teknik pengumpulan data yang digunakan adalah kuesioner. Metode analisis data yang digunakan adalah uji validitas, uji realibilitas, uji asumsi klasik, analisis regresi berganda, uji koefisien determinasi, Uji statistik f, dan uji parsial. Berdasarkan hasil penelitian menunjukan bahwa pelatihan dan loyalitas kerja tidak berpengaruh secara signifikan terhadap kinerja karyawan pada Divisi Sekretaris Perusahaan di PT BFM, sedangkan motivasi berpengaruh positif secara signifikan terhadap kinerja karyawan pada Divisi Sekretaris Perusahaan di PT BFM
Optimizing the Performance of Education Personnel: A Review of Performance Allowance and Motivation Factors at Maranatha Christian University Fajarsyah, Bintang; Anatan, Lina
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v9i1.14839

Abstract

This study aims to examine how performance allowances and motivation affect Maranatha Christian University education staff's performance. The study population consisted of all 292 educational staff at Maranatha Christian University. The sample size was established using the Slovin method, yielding a sample of 75 respondents. Using Full Model Regression, a multiple linear regression equation was obtained: Y = 12.051 + -001 X1 + 0.072 X2. From this equation, it can be deduced that the coefficient of determination (r2) is 0.466, meaning that the X1-X2 variables may account for 46.6% of the model's variance while the remaining variance (53.4%), which is not accounted for by this regression model, is explained by other variables. The calculated F value was 33,249, with a significant F of 0.000 < 5%. This supports the hypothesis that Ho: b1= b2 ≠ 0, meaning that both factors (X) have an impact on Y.