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Journal : Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Batam

DETERMINATION OF CAREER DEVELOPMENT, COMPETENCE, WORK MOTIVATION WITH WORK SATISFACTION AS INTERVENING VARIABLES ON PERFORMANCE OF VTS SEA MINISTRY OF THE VTS (VASSEL TRAFFIC SYSTEM) BATAM CENTER Silvia, Silvia; Rumengan, Jemmy; Rumengan, Angelina Eleonora
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9, No 2 (2019): AGUSTUS
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v9i2.257

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 40 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 0.009 <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 0.008> 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 0.033 <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 0.011 <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 0.012 <0.05, so it can be stated that the effect between X2 on Y is significant.
TRANSFORMATIONAL LEADERSHIP DETERMINATION, COMPENSATION, ORGANIZATIONAL CLIMATE WITH WORK SATISFACTION AS INTERVENING VARIABLES TO EMPLOYEE PERFORMANCE TAX MANAGEMENT AGENCY AND REGIONAL VOCATIONAL ASSOCIATION Pratama, Whendy Septian; Rumengan, Jemmy; Rumengan, Angelina Eleonora
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9, No 2 (2019): AGUSTUS
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v9i2.262

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 0.006 <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 0,000> 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 0.040> 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 0.047 <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 0.045> 0.05, so it can be stated that the influence between X1 and Y is significant. The effect of X2 on X4 has a P-Values value of 0.006 <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.
COMMUNICATION DETERMINATION, EMPLOYEE DEVELOPMENT ANDORGANIZATIONAL CULTURE WITH WORK MOTIVATION AS INTERVENING VARIABLES AGAINST ORGANIZATIONAL COMMITMENTS OF DINAS HEALTH EMPLOYEES ARCHIPELAGO RIAU PROVINCE Rahman, Siti; Rumengan, Jemmy; Rumengan, Angelina Eleonora
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9, No 2 (2019): AGUSTUS
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v9i2.258

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. 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 0.004 <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 0.044> 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 0.005 <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 0.021> 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 X2 on Y has a P-Values value of 0.006 <0.05, so it can be stated that the effect between X2 on Y is significant.
DETERMINATION OF EMOTIONAL INTELLIGENCE, SELF EFFICACY AND WORK CULTURE WITH WORK SATISFACTION AS INTERVENING VARIABLES ON EMPLOYEE MOTIVATION OF RIAU ISLANDS PROVINCE HEALTH Suliyana, Suci; Rumengan, Jemmy; Rumengan, Angelina Eleonora
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9, No 2 (2019): AGUSTUS
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v9i2.259

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. 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 0.005 <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 0.009> 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 0.024 <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 0,000 <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.
DETERMINATION OF AUTONOMY OF WORK, WORK FACILITIES AND DISCIPLINE OF WORK WITH WORK MOTIVATION AS INTERVENING VARIABLES TO PERFORMANCE EMPLOYEE OF PROVINCIAL HEALTH SERVICE RIAU ISLANDS Sukaesih, Sukaesih; Rumengan, Jemmy; Rumengan, Angelina Eleonora
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9, No 2 (2019): AGUSTUS
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v9i2.260

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.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 0.004 <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 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 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 0.005 <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 0.005 <0.05, so it can be stated that the effect between X2 on Y is significant.
DETERMINATION OF COMPETENCE, WORK SPIRIT AND WORK ENVIRONMENT WITH WORK MOTIVATION AS INTERVENING VARIABLES AGAINST PERFORMANCE OF EMPLOYEE SERVICES RIAU ISLANDS PROVINCE Erwin, Tri Hardiono; Rumengan, Jemmy; Rumengan, Angelina Eleonora
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9, No 2 (2019): AGUSTUS
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v9i2.261

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. 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 0.002 <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 influence of X1 on X4 has a P-Values value of 0.008 <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 X2 on X4 has a P-Values value of 0.002 <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.