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Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Batam
Published by Universitas Batam
ISSN : -     EISSN : 27216373     DOI : 10.37776
Core Subject : Economy, Science, Education, Social,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other
Zona Manajemen adalah jurnal peer-review yang dikelola oleh Program Studi Magister Sains Manajemen Universitas Batam. Zona Manajemen bertujuan untuk mempublikasikan artikel di bidang Manajemen Umum, Manajemen Pemasaran dan akunting, Manajemen Sumber Daya Manusia dan Tata Kelola, Manajemen Strategik, Manajemen Keuangan, Manajemen Operasional, Manajemen Tata kelola perusahaan, Etika dan Profesionalisme, Manajemen perusahaan, Manajemen Pendidikan dan Manajemen Sistem Informasi.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 8 Documents
 1 
Search results for , issue "Vol 9 No 1 (2019): APRIL" : 8 Documents clear
TRANSFORMATIONAL LEADER, ATTITUDE, LOCUS OF CONTROL DETERMINATION WITH WORK SATISFACTION AS INTERVENING VARIABLES ON PERSONNEL PERFORMANCE KARIMUN DISTRICT CLUB POLRES Budi Hartono; Jemmy Rumengan; Angelina Eleonora Rumengan
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 (276.686 KB) | DOI: 10.37776/jzm.v9i1.179

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 35 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 0.029> 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 0.010> 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 0.010 <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 0.010> 0.06, so it can be stated that the effect between X1 on Y is significant. The effect of the X2 variable on X4 has a P-Values value of 0.037 <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.
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 TEAM COOPERATION, WORK RESPONSIBILITY AND COMMUNICATION WITH WORK SATISFACTION AS A VARIABLE INTERVENING ON THE COMMITMENTS OF THE KARIMUN DISTRICT OFFICE OF MERAL MESSAGE OFFICES Armanunsah Armanunsah; Jemmy Rumengan; Chablullah Wibisono
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 (312.968 KB) | DOI: 10.37776/jzm.v9i1.176

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 35 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 0.006> 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 0.045> 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 influence of X1 on Y has a P-Values value of 0.043> 0.05, so it can be stated that the effect between X1 on Y is significant. The effect of the X2 variable on X4 has a P-Values value of 0.008 <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.
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. 
LEADERSHIP DETERMINATION, JOB ANALYSIS AND CAREER DEVELOPMENT WITH ORGANIZATIONAL COMMITMENTS AS INTERVENING VARIABLES ON PERFORMANCE EMPLOYEES ARCHIPELAGO OF HEALTH DINAS RIAU PROVINCE Adi Adi; Jemmy Rumengan; Angelina Eleonora Rumengan
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 (323.059 KB) | DOI: 10.37776/jzm.v9i1.172

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 0.017 <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 0.002> 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 0.005> 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 0.040 <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 0.013> 0.05, so it can be stated that the effect between X1 on Y is significant. The effect of the X2 variable on X4 has a P-Values value of 0.013 <0.05, so it can be stated that the influence between X2 on X4 is significant. The effect of X2 on Y has a P-Values value of 0.035 <0.05, so it can be stated that the effect between X2 on Y is significant.
DETERMINATION OF WORK DISCIPLINE, WORK SPIRIT AND ETHICS WITH WORK SATISFACTION AS INTERVENING VARIABLES ON WORK MOTIVATION OFFICE OFFICE KARIMUN KARIMUN DISTRICT Azrizal Azrizal; Jemmy Rumengan; Chablullah Wibisono
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 (315.773 KB) | DOI: 10.37776/jzm.v9i1.177

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 0.030 <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 0.014> 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 0.008> 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 0.010 <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 0.025> 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 effect of X2 on Y has a P-Values value of 0.013 <0.05, so it can be stated that the effect between X2 on Y is significant.
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.

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