Yunazar Manjang
Department of Management, Faculty of Economics, Batam University, Indonesia Department of Chemistry, Faculty of Mathematics and Natural Sciences Andalas University, Indonesia.

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WORK SPIRIT DETERMINATION, WORK RESPONSIBILITY AND WORK FACILITIES WITH WORK MOTIVATION AS INTERVENING VARIABLES TO PERFORMANCE OF UNIVERSITY EMPLOYEES BATAM USING SEM-PLS (PARTIAL LEAST SQUARE) Muhammad Tammy Ikbal Rumengan; Jemmy Rumengan; Yunazar Manjang
Zona Manajerial: Program Studi Manajemen (S1) Vol 9 No 1 (2019): Zona Manajerial: Program Studi Manajemen
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (382.336 KB) | DOI: 10.37776/zm.v9i1.232

Abstract

In this study, researchers used respondents' data, such as gender, age and duration of work of respondents to be able to provide information about the characteristics of respondents. Where from the questionnaire distributed questionnaire as many as 65 respondents using census techniques. Data analysis with parametric and non parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, instrument test, normality test, hypothesis test, and discussion of the results of hypothesis testing and Path Path Analysis. This study uses path analysis (path analysis) to test the pattern of relationships that reveal the influence of variables or a set of variables on other variables, both direct influence and indirect influence. The results of the study are as follows: The effect of the X3 variable on X4 has a P-Values value of 0,000 <0,05, so it can be stated that the influence between X3 and X4 is significant. The effect of the X3 variable on Y has a P-Values value of 0,000> 0.05, so it can be stated that the effect of X3 on Y is significant. The effect of the X4 variable on Y has a P-Values value of 0.006> 0.05, so it can be stated that the influence between X4 on Y is significant. The effect of X1 on X4 has a P-Values value of 0.038 <0.05, so it can be stated that the influence between X1 to X4 is significant. The effect of X1 on Y has a P-Values value of 0.009> 0.05, so it can be stated that the influence between X1 and Y is significant. The effect of the X2 variable on X4 has a P-Values value of 0.012 <0.05, so it can be stated that the effect between X2 on X4 is significant. The effect of the X2 variable on Y has a P-Values value of 0.008 <0.05, so it can be stated that the effect between X2 on Y is significant.Â