Abstract
In this research, PLS method is applied to analyze which factor are affect employee performance in PT. Kereta Api Indonesia (Persero) DAOP 5 Purwokerto based on variables that are research factors that is employee performance, work motivation, leadership, training, work enviroment and corporate culture through the indicator which are then analyzed. From analysis using a PLS method with 6 variables of research, it was found that R-square value work of motivation variables of 77,00% with good assessments defined by construct variable of leadership, training, work enviroment and corporate culture while another 23% is described by other variables outside this research. The value of R-square on employee performance variables of 66,00% with good enough assessment criteria described by the work of motivation, where as another 34% is described by other variables outside this research model.
Highlights
5 Purwokerto based on employee performance
it was found that R-square value work of motivation variables
of 77,00% with good assessments defined by construct variable of leadership
Summary
Suatu perusahaan perlu mengadakan penilaian kinerja pegawai untuk menilai pencapaian kinerja pegawai dalam melaksanakan tugas. Fokus masalah dalam penelitian ini adalah analisis faktor-faktor mana saja yang berpengaruh terhadap kinerja pegawai dan bagaimana pemodelan kinerja pegawai PT. Metode yang digunakan dalam penelitian ini terdiri dari model regresi dan faktor analisis. 2.3 Metode Penelitian Metode penelitian yang digunakan dalam analisis kepuasan ini adalah model Partial Least Square (PLS). Model pengukuran terdiri dari model pengukuran variabel endogen dan eksogen. Dengan y adalah vektor variabel manifest endogen (qx1), adalah matriks koefisien pengukuran (loading factor) Permasalahan utama dalam PLS adalah bagaimana menentukan variabel laten dan loading factor. Untuk perhitungan bobot yang terdiri dari estimasi model pengukuran dan estimasi model struktural. ( ) dan dan bobot untuk variabel laten endogen adalah:. Algoritma PLS tahap 2 adalah proses perhitungan estimasi untuk koefisien jalur ( ̂ ) dan perhitungan loading
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