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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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EFFICACY SELF DETERMINATION, TRANSFORMATIONAL LEADERSHIP, WORK RESPONSIBILITY WITH WORK MOTIVATION AS A VARIABLE INTERVENING ON WORK ACHIEVEMENTS EMPLOYEES PT. INDONESIA CLASSIFICATION BUREAU (PERSERO) Arief Nurjahjo; 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 (315.278 KB) | DOI: 10.37776/jzm.v9i1.175

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-Values value of 0.001 <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 0.009> 0.05, so it can be stated that the effect between X3 on Y is significant. The effect of the X4 variable on Y has a P-Values value of 0.012> 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 0.026 <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 0.007> 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 0,000 <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 0.005 <0.05, so it can be stated that the effect between X2 on Y is significant. 
LEADERSHIP DETERMINATION, ORGANIZATIONAL CITIZENSHIP BEHAVIOUR AND WORK MOTIVATION THROUGH ORGANIZATIONAL COMMITMENTS AS MEDIATOR VARIABLES ON PERFORMANCE OF EMPLOYEES IN HEALTH SERVICE BATAM CITY Didi Kusmarjadi; 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 (307.463 KB) | DOI: 10.37776/jzm.v9i1.180

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 80 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 0.007> 0.05, so it can be stated that the effect between X3 on Y is significant. The effect of the X4 variable on Y has a P-Values value of 0.028> 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 0.050 <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 0.006> 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 0.003 <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 0,000 <0,05, so it can be stated that the effect between X2 on Y is significant.
DETERMINATION OF LEADERSHIP, WORK DISCIPLINE AND WORK ABILITY WITH ORGANIZATIONAL COMMITMENT AS AN INTERVENING VARIABLE ON THE PERFORMANCE OF THE PERSONNEL OF SATLANTAS KARIMUN REGIONAL POLICE USING PARTIAL LEAST SQUARE (PLS) T.Fazrial Kenedy; 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 (340.852 KB) | DOI: 10.37776/jzm.v9i3.196

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 0.006 <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 0.006> 0.05, so it can be stated that the effect between X3 on Y is significant. The effect of the X4 variable on Y has a P-Values value of 0.014> 0.05, so it can be stated that the effect between X4 on Y is significant. The effect of X1 on X4 has a P-Values value of 0.039 <0.00, 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 0.022> 0.06, so it can be stated that the influence between X1 on Y is significant. The effect of X2 on X4 has a P-Values value of 0.003 <0.42, so it can be stated that the influence between X2 to X4 is significant. The effect of the X2 variable on Y has a P-Values value of 0.008 <0.18, so it can be stated that the effect between X2 on Y is significant.
WORK RESPONSIBILITY DETERMINATION, WORK AUTONOMY AND WORK SPIRIT WITH WORK MOTIVATION AS INTERVENING VARIABLES TO PERFORMANCE OF PUBLIC BIRO EMPLOYEES REGIONAL SECRETARY OF RIAU ISLANDS PROVINCE Nico Syisnovli Riadi; 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 (352.059 KB) | DOI: 10.37776/jzm.v9i3.199

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 75 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 0.010> 0.05, so it can be stated that the effect between X3 on Y is significant. The effect of the X4 variable on Y has a P-Values value of 0.045> 0.05, so it can be stated that the influence between X4 on Y is significant. The influence of X1 on X4 has a P-Values value of 0.006 <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 0.006> 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 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.
Co-Authors Arief Nurjahjo Didi Kusmarjadi Nico Syisnovli Riadi T.Fazrial Kenedy Yunazar Manjang