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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 7 Documents
 1 
Search results for , issue "Vol 9 No 3 (2019): DESEMBER" : 7 Documents clear
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.
DETERMINATION OF POSITION PROMOTION, WORK CULTURE AND WORK FACILITIES WITH WORK SATISFACTION AS INTERVENING VARIABLES ON COMMITMENT EMPLOYEE AGENCY ORGANIZATION OF THE FRANCE, RESEARCH AND DEVELOPMENT RIAU ISLANDS PROVINCE Zulkarnaen Adijaya; Jemmy Rumengan; Angelina Eleonora Rumengan
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 (286.763 KB) | DOI: 10.37776/jzm.v9i3.195

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 90 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 X3 on X4 has a P-Values value of 0.086 <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 0.036> 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 0.015 <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 0.012> 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 JOB RELEVANT INFORMATION, WORK MOTIVATION AND ORGANIZATIONAL CULTURE WITH WORK ACHIEVEMENT AS INTERVENING VARIABLES TO PERFORMANCE EMPLOYEE OF FINANCIAL MANAGEMENT AGENCY AND THE ASSETS OF THE ISLANDS PROVINCE Nurafni Dwi Anggaraini; Jemmy Rumengan; Angelina Eleonora Rumengan
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 (349.709 KB) | DOI: 10.37776/jzm.v9i3.200

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 45 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 0.047> 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 0.024> 0.05, so it can be stated that the effect of 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 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 0.003 <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.
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.
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.
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.
LEADERSHIP DETERMINATION, COMPETENCE AND TRAINING WITH WORK MOTIVATION AS INTERVENING VARIABLES ON TEACHER PERFORMANCE OF SMAN 8 BENGKONG SADAI BATAM Mujid Mujid; Jemmy Rumengan; Angelina Eleonora Rumengan
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 (210.712 KB) | DOI: 10.37776/jzm.v9i3.198

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 90 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 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 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 0,000 <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.

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