Open Access
THE EFFECT OF RECRUITMENT, SELECTION AND MOTIVATION TO PERFORMANCE OF EMPLOYEES AT DATACOMM DIANGRAHA COMPANY
Author(s) -
I Ketut R Sudiarditha,
Agus Supriyanto,
Mardi Mardi
Publication year - 2017
Publication title -
jurnal riset manajemen sains indonesia
Language(s) - English
Resource type - Journals
eISSN - 2301-8313
pISSN - 2087-1139
DOI - 10.21009/jrmsi.008.1.05
Subject(s) - variables , affect (linguistics) , psychology , selection (genetic algorithm) , test (biology) , regression analysis , linear regression , statistics , social psychology , econometrics , mathematics , computer science , paleontology , communication , artificial intelligence , biology
In this study, the goal is to test empirically the effect of recruitment, selection and motivation of the employee performance at Datacomm Diangraha Company. The samples used were employees of Datacomm Diangraha especially the engineers with the total number of respondents was 126. The analysis used a linear regression, this research examines four variables: Recruitment (X1), Selection (X2) and Motivation (X3) as independent variables, and Performance employees (Y) as the dependent variable. Partial test shows that the recruitment effect of 0175 (positive and significant) on the performance. While the selection is also influenced significantly by 0347 on employee performance. And further motivation for 0295 was a significant influence on employee performance.Measurement model analysis in this study showed that all variables have met the criteria of validity and reliability, while at the structural model analysis shows that testing of hypotheses H1, H2, and H3 supports the hypothesis proposed. The resulting model of the independent variables and the effect on the dependent variable is Y = 16,408 + 0175 0347 X1 + X2 + X3 0295. The study concluded that the recruitment, selection and motivation affect the performance of employees with the results affect the performance of 95%, while 5% is determined by other variables.
Keyword : recruitment, selection, motivation, linear regression