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All Journal Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Batam
Jemmy Rumengan
Department of Management, Faculty of Economics, Batam University, Indonesia. Department of Chemistry, Faculty of Mathematics and Natural Sciences Andalas University, Indonesia.
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

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COMPETENCE DETERMINATION, WORK SPIRIT, WORK ENVIRONMENT WITH WORK MOTIVATION AS A VARIABLE INTERVENING ON PERSONNEL WORK SATISFACTION LINGGA POLRES Alexandermaramis Alexandermaramis; Jemmy Rumengan; Yunazar Manjang
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9 No 1 (2019): APRIL
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (300.58 KB) | DOI: 10.37776/jzm.v9i1.173

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 60 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-value of 0.009 <0.05, so that it can be associated with the influence between X3 and X4 is significant. The effect of the X3 variable on Y has a P-Value value of 0.009> 0.05, so that the relationship between X3 and Y can be determined to be significant. The effect of the X4 variable on Y has a P-Value value of 0.009> 0.05, so that it can be determined the influence between X4 on Y is significant. The effect of X1 on X4 has a P-Value value of 0.016 <0.00, so that it can be accounted for between X1 and X4 is significant. The effect of X1 on Y has a P-value of 0.040> 0.06, so that it can be accounted for because the influence of X1 on Y is significant. The effect of the X2 variable on X4 has a P-Value value of 0.006 <0.42, so it can be determined that the relationship between X2 to X4 is significant. The effect of the X2 variable on Y has a P-Value value of 0.012 <0.18, so that it can be accounted for because the influence between X2 on Y is significant.
COMPENSATION DETERMINATION, TRAINING AND WORK ENVIRONMENT WITH WORK MOTIVATION AS A MEDIATOR VARIABLE ON WORK SATISFACTION OF PT BATAMMEC Evi Sutiana; Jemmy Rumengan; Yunazar Manjang
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9 No 1 (2019): APRIL
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (317.927 KB) | DOI: 10.37776/jzm.v9i1.181

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 0.008 <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 0.021> 0.05, so it can be stated that the influence between X3 and Y is significant. The effect of the X4 variable on Y has a P-Values value of 0.019> 0.05, so it can be stated that the influence between X4 and Y is significant. The effect of X1 on X4 has a P-Values value of 0.012 <0.05, so it can be stated that the influence between X1 to X4 is significant. The influence of X1 on Y has a P-Values value of 0.050> 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 0.001 <0.05, so it can be stated that the effect between X2 on X4 is significant. The influence of X2 on Y has a P-Values value of 0.007 <0.05, so it can be stated that the effect between X2 on Y is significant. 
DETERMINATION OF LOCUS OF CONTROL, SELF EFFICACY AND DISCIPLINE OF WORK WITH WORK SATISFACTION AS INTERVENING VARIABLES ON WORK MOTIVATION EMPLOYEE SERVICE OF THE ISLANDS PROVINCE HEALTH RIAU Maimunah Maimunah; Jemmy Rumengan; Yunazar Manjang
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9 No 3 (2019): DESEMBER
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (293.361 KB) | DOI: 10.37776/jzm.v9i3.197

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 questionnaire distributed as many as 70 respondents using census techniques. This research is the result of a field study to obtain an answer data questionnaire that measures five main variables in this study, namely locus of control, self efficacy, work discipline, job satisfaction and employee motivation. 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 0.038 <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 0.005> 0.05, so it can be stated that the effect between X4 on Y is significant. The influence of X1 on X4 has a P-Values value of 0.009 <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 0.005> 0.05, so it can be stated that the influence between X1 on Y is significant. The effect of the X2 variable on X4 has a P-Values value of 0.001 <0.05, so it can be stated that the effect between X2 on X4 is significant. The effect of X2 on Y has a P-Values value of 0.009 <0.05, so it can be stated that the effect between X2 on Y is significant.
EDUCATION AND TRAINING DETERMINATION, JOB CHARACTERISTICS, ORGANIZATIONAL CULTURE WITH WORK SATISFACTION AS INTERVENING VARIABLES TO PERFORMANCE EMPLOYEE DEPARTMENT OF GENERAL JOB, LAND AND ADMINISTRATION OF ARCHIPELAGO PROVINCE SPACES RIAU Ronny Ronny; Jemmy Rumengan; Yunazar Manjang
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9 No 3 (2019): DESEMBER
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (299.156 KB) | DOI: 10.37776/jzm.v9i3.201

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 50 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 0.010 <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 0.050> 0.05, so it can be stated that the influence between X4 and Y is significant. The influence of X1 on X4 has a P-Values value of 0.007 <0.05, so it can be stated that the influence between X1 to X4 is significant. The influence of X1 on Y has a P-Values value of 0.010> 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 0.005 <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 0.030 <0.05, so it can be stated that the effect between X2 on Y is significant.
Co-Authors Alexandermaramis Alexandermaramis Evi Sutiana Maimunah Maimunah Ronny Ronny Yunazar Manjang