cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Sri Yanti
Contact Email
zonamanajemen@univbatam.ac.id
Phone
+6282174044438
Journal Mail Official
zonamanajemen@univbatam.ac.id
Editorial Address
Jl. Abulyatama NO 5 Batam Center, Kel.Belian, Batam 29464
Location
Unknown,
Unknown
INDONESIA
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 75 Documents
 2   3   4   5   6 
DETERMINATION OF EMOTIONAL INTELLIGENCE, SELF EFFICACY AND WORK CULTURE WITH WORK SATISFACTION AS INTERVENING VARIABLES ON EMPLOYEE MOTIVATION OF RIAU ISLANDS PROVINCE HEALTH Suci Suliyana; Jemmy Rumengan; Angelina Eleonora Rumengan
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 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 EMPLOYEE DEVELOPMENT, COMMUNICATION, WORK ENVIRONMENT, ORGANIZATIONAL COMMITMENTS AS AN INTERVENING VARIABLES ON MOTIVATION OF EMPLOYEES IN GENERAL JOBS AND SPACE MANAGEMENT RIAU ISLANDS PROVINCE Rudi Rudi; Jemmy Rumengan; Bambang Satriawan
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.v9i2.255

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 0.004 <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 0.018> 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 0.031> 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 0.012 <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 0.035 <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 0.017 <0.05, so it can be stated that the effect between X2 on Y is significant.
DETERMINATION OF EMPLOYEE DEVELOPMENT, COMMUNICATION, WORK ENVIRONMENT, ORGANIZATIONAL COMMITMENTS AS AN INTERVENING VARIABLES ON MOTIVATION OF EMPLOYEES IN GENERAL JOBS AND SPACE MANAGEMENT RIAU ISLANDS PROVINCE Rudi, Rudi; Rumengan, Jemmy; Satriawan, Bambang
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.v9i2.255

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 0.004 <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 0.018> 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 0.031> 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 0.012 <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 0.035 <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 0.017 <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; Jemmy Rumengan; Angelina Eleonora Rumengan
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 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 EMOTIONAL INTELLIGENCE, SELF EFFICACY, WORK SPIRIT WITH WORK SATISFACTION AS INTERVENING VARIABLESON WORK ACHIEVEMENTS EMPLOYEE DEPARTMENT OF GENERAL JOB, LAND AND ADMINISTRATION OF RIAU ARCHIPELAGO SPACES Sayed Wahidin; Jemmy Rumengan; Yunazar Manjang
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.v9i2.256

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 0.047 <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 0.013> 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 0.030> 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 0.002 <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 0.008> 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 0.035 <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 0.004 <0.05, so it can be stated that the effect between X2 on Y is significant.
DETERMINATION OF EMOTIONAL INTELLIGENCE, SELF EFFICACY, WORK SPIRIT WITH WORK SATISFACTION AS INTERVENING VARIABLESON WORK ACHIEVEMENTS EMPLOYEE DEPARTMENT OF GENERAL JOB, LAND AND ADMINISTRATION OF RIAU ARCHIPELAGO SPACES Wahidin, Sayed; Rumengan, Jemmy; Manjang, Yunazar
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.v9i2.256

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 0.047 <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 0.013> 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 0.030> 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 0.002 <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 0.008> 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 0.035 <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 0.004 <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 Tri Hardiono Erwin; Jemmy Rumengan; Angelina Eleonora Rumengan
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.
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.

Page 4 of 8 | Total Record : 75

 2   3   4   5   6 

Filter by Year

2017 2021


Reset
Filter By Issues
All Issue Vol 11 No 1 (2021): Volume 11, Nomor 01, April 2021 Vol 10 No 3 (2020): Volume 10, Nomor 03, Desember 2020 Vol 10 No 2 (2020): Volume 10, Nomor 02, Agustus 2020 Vol 10 No 1 (2020): Volume 10, Nomor 01, April 2020 Vol 9 No 3 (2019): DESEMBER Vol 9 No 2 (2019): AGUSTUS Vol 9, No 2 (2019): AGUSTUS Vol 9 No 1 (2019): APRIL Vol 7 No 2 (2017): AGUSTUS