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 8 Documents
 1 
Search results for , issue "Vol 10 No 2 (2020): Volume 10, Nomor 02, Agustus 2020" : 8 Documents clear
DETERMINATION OF ORGANIZATIONAL CULTURE, WORK DISCIPLINE, COMMUNICATION WITH THE SPIRIT OF WORK AS INTERVENING VARIABLES AGAINST MOTIVATION REGIONAL INSPECTORATE OFFICERS WORK RIAU ISLANDS PROVINCE Jefriyanto Jefriyanto
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 2 (2020): Volume 10, Nomor 02, Agustus 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i2.359

Abstract

In this study, researchers used data respondents, such as gender, age and long working respondents to provide information on the characteristics of respondents. The questionnaire was spread over 69. The discussion in this chapter is the result of a field study to obtain a questionnaire response data that measures the five basic variables in the study, namely organizational culture, work research, communication, work spirit, and employee satisfaction. Analysis of data with parametric and non parametrics statistics using SEM-PLS (structural Equation Modelling-Partial Least Square) on the research variables, instrument test, normality test, hypothesis test, as well as discussion of the hypothesis test results and path analysis Path. This research uses path analysis to test relationship patterns that reveal the influence of variables or a set of variables against other variables, both direct influences and indirect influences. Calculation of line coefficient in this study assisted with Smart PLS Ver 3.0. To find out the direct and indirect influences between variables then be seen from the calculation result of the line coefficient and to know the significance. The effect of the X3 variable against X4 has a P-Values value of 0.014 < 0.05, so it can be stated that the effect between X3 against X4 is significant. The effect of the variable X3 against Y has a P-Values value of 0.001 < 0.05, so it can be stated that the influence between X3 to Y is significantly the effect of the X4 variable against Y has a P-Values value of 0.021 < 0.05, so it can be stated that the effect between X4 to Y is significant. The effect of the X1 variable against X4 has a P-Values value of 0.007 < 0.05, so it can be stated that the effect between X1 against X4 is significant. The effect of a X1 variable against Y has a P-Values value of 0.020 < 0.05, so it can be stated that the effect between X1 to Y is significant. The effect of a variable X2 against X4 has a P-Values value of 0.000 < 0 0.05, so it can be stated that the effect of X2 against X4 is significant. The effect of a variable X2 against Y has a P-Values value of 0.006 < 0.05, so it can be stated that the effect of the X2 against Y is significant.
DETERMINATION OF WORKLOAD, WORK ENVIRONMENT AND LEADERSHIP STYLE WITH MOTIVATION TO WORK AS VARIABLE MEDIATOR TO PERFORMANCE HEALTH SERVICE OFFICERS CITY OF TANJUNG PINANG Jupri Jupri
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 2 (2020): Volume 10, Nomor 02, Agustus 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i2.360

Abstract

In this study, researchers used data respondents, such as gender, age and long working respondents to provide information on the characteristics of respondents. The questionnaire was spread over 82. The discussion in this chapter is the result of a field study to obtain a questionnaire response data that measures five key variables in the study: workload, working environment, leadership style, work motivation and employee performance. Analysis of data with parametric and non parametrics statistics using SEM-PLS (structural Equation Modelling-Partial Least Square) on the research variables, instrument test, normality test, hypothesis test, as well as discussion of the hypothesis test results and path analysis Path. This research uses path analysis to test relationship patterns that reveal the influence of variables or a set of variables against other variables, both direct influences and indirect influences. Calculation of line coefficient in this study assisted with Smart PLS Ver 3.0. To find out the direct and indirect influences between variables then be seen from the calculation result of the line coefficient and to know the significance. The effect of the X3 variable against X4 has a P-Values value of 0.012 < 0.05, so it can be stated that the effect between X3 against X4 is significant. The effect of the variable X3 against Y has a P-Values value of 0.000 < 0.05, so it can be stated that the influence between X3 to Y is significant. The effect of X4 to Y variables has a P-Values value of 0.048 < 0.05, so it can be stated that the effect between X4 to Y is significant. The effect of the X1 variable against X4 has a P-Values value of 0.038 < 0.05, so it can be stated that the effect between X1 against X4 is significant. The effect of a X1 variable against Y has a P-Values value of 0.000 < 0.05, so it can be stated that the effect between X1 to Y is significant. The effect of a variable X2 against X4 has a P-Values value of 0.000 < 0.05, so it can be stated that the effect of X2 against X4 is significant. The effect of a variable X2 against Y has a P-Values value of 0.030 < 0.05, so it can be stated that the effect of the X2 against Y is significant.
DETERMINATION OF COMPETENCE, TRAINING AND CULTURE OF THE ORGANIZATION WITH THE MOTIVATION OF WORKING AS A VARIABLE OF THE MEDIATOR ON THE PERFORMANCE OF HEALTH TRAINING HALL OFFICERS MINISTRY OF HEALTH BATAM Herawati Herawati
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 2 (2020): Volume 10, Nomor 02, Agustus 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i2.356

Abstract

In this study, researchers used data respondents, such as gender, age and long working respondents to provide information on the characteristics of respondents. The questionnaire was spread over 35. The discussion in this chapter is the result of field studies to obtain a questionnaire that measures the five main variables in the study, such as training, organizational culture, work motivation and employee performance. Analysis of data with parametric and non parametrics statistics by using SEM-PLS (structural Equation Modelling-Partial Least Square) regarding the research variables, test of instruments, test normality, hypothesis testing, as well as discussion of the hypothesis test results and path Analysis Path. This study uses path analysis to test relationship patterns that reveal the influence of variables or a set of variables against other variables, both direct influences and indirect influences. Calculation of line coefficient in this study assisted with Smart PLS Ver 3.0. To find out the direct and indirect influences between variables then be seen from the calculation result of the line coefficient and to know the significance. The effect of the X3 variable against X4 has a P-Values value of 0.010 < 0.05, so it can be stated that the effect between X3 against X4 is significant. The effect of the variable X3 against Y has a P-Values value of 0.000 < 0.05, so it can be stated that the influence between X3 to Y is significant. The effect of X4 to Y variables has a P-Values value of 0.010 < 0.05, so it can be stated that the effect between X4 to Y is significant. The effect of the X1 variable against X4 has a P-Values value of 0.014 < 0.05, so it can be stated that the effect between X1 against X4 is significant. The effect of the X1 variable against X4 has a P-Values value of 0.007 < 0.05, so it can be stated that the effect between X1 against X4 is significant. The effect of a variable X2 against X4 has a P-Values value of 0.024 < 0.05, so it can be stated that the effect of X2 against X4 is significant. The effect of a variable X2 against Y has a P-Values value of 0.047 < 0.05, so it can be stated that the effect of the X2 against Y is significant.
DETERMINATION OF LEADERSHIP STYLE, ORGANIZATIONAL CULTURE AND MOTIVATION WORK WITH JOB SATISFACTION AS A VARIABLE OF MEDIATOR ON THE PERFORMANCE OF ENERGY SERVICE OFFICERS AND MINERAL RESOURCES OF RIAU ISLAND PROVINCE Kevin Romanza Parma
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 2 (2020): Volume 10, Nomor 02, Agustus 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i2.361

Abstract

In this study, researchers used data respondents, such as gender, age and long working respondents to provide information on the characteristics of respondents. The questionnaire was spread over 50. The discussion in this chapter is the result of field studies to obtain data on the questionnaire responses that measure five key variables in the study, namely leadership style, organizational culture, work motivation, job satisfaction and employee performance. Analysis of data with parametric and non parametrics statistics using SEM-PLS (structural Equation Modelling-Partial Least Square) on the research variables, instrument test, normality test, hypothesis test, as well as discussion of the hypothesis test results and path analysis Path. This research uses path analysis to test relationship patterns that reveal the influence of variables or a set of variables against other variables, both direct influences and indirect influences. Calculation of line coefficient in this study assisted with Smart PLS Ver 3.0. To find out the direct and indirect influences between variables then be seen from the calculation result of the line coefficient and to know the significance. The effect of the X3 variable against X4 has a P-Values value of 0.009 < 0.05, so it can be stated that the effect between X3 against X4 is significant. The effect of the variable X3 against Y has a P-Values value of 0.028 < 0.05, so it can be stated that the influence between X3 to Y is significant. The effect of X4 to Y variables has a P-Values value of 0.008 < 0.05, so it can be stated that the effect between X4 to Y is significant. The effect of the X1 variable against X4 has a P-Values value of 0.017 < 0.05, so it can be stated that the effect between X1 against X4 is significant. The effect of a X1 variable against Y has a P-Values value of 0.024 < 0.05, so it can be stated that the effect between X1 to Y is significant. The effect of a variable X2 against X4 has a P-Values value of 0.009 < 0.05, so it can be stated that the effect of X2 against X4 is significant. The effect of a variable X2 against Y has a P-Values value of 0.007 < 0.06, so it can be stated that the effect of the X2 against Y is significant.
DETERMINATION OF TRANSFORMATIONAL LEADERSHIP, EDUCATION AND DISCIPLINE OF WORK WITH THE SPIRIT OF WORK AS A VARIABLE OF MEDIATOR TO THE PERFORMANCE OF HOUSING OFFICERS, KARIMUN REGENCY SETTLEMENTS AND CLEANLINESS Hermawan Adisusanto
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 2 (2020): Volume 10, Nomor 02, Agustus 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i2.357

Abstract

In this study, researchers used data respondents, such as gender, age and long working respondents to provide information on the characteristics of respondents. The questionnaire was spread over 52. The discussion in this chapter is the result of field studies to obtain data on the questionnaire responses that measure five key variables in the study, namely transformational leadership, education, work discipline, work spirit and employee performance. Analysis of data with parametric and non parametrics statistics using SEM-PLS (structural Equation Modelling-Partial Least Square) on the research variables, instrument test, normality test, hypothesis test, as well as discussion of the hypothesis test results and path analysis Path. This research uses path analysis to test relationship patterns that reveal the influence of variables or a set of variables against other variables, both direct influences and indirect influences. Calculation of line coefficient in this study assisted with Smart PLS Ver 3.0. To find out the direct and indirect influences between variables then be seen from the calculation result of the line coefficient and to know the significance. The effect of the X3 variable against X4 has a P-Values value of 0.032 < 0.05, so it can be stated that the effect between X3 against X4 is significant. The effect of the variable X3 against Y has a P-Values value of 0.003 < 0.05, so it can be stated that the influence between X3 to Y is significant. The effect of the variable X3 against Y has a P-Values value of 0.003 < 0.05, so it can be stated that the influence between X3 to Y is significant. The effect of the variable X3 against Y has a P-Values value of 0.003 < 0.05, so it can be stated that the influence between X3 to Y is significant. The effect of a X1 variable against Y has a P-Values value of 0.006 < 0.05, so it can be stated that the effect between X1 to Y is significant. The effect of a X1 variable against Y has a P-Values value of 0.006 < 0.05, so it can be stated that the effect between X1 to Y is significant. The effect of a variable X2 against Y has a P-Values value of 0.011 < 0.05, so it can be stated that the effect of the X2 against Y is significant.
DETERMINATION OF TRANSFORMATIONAL LEADERSHIP, RESPONSIBILITIES OF WORK AND WORKING SPIRIT WITH MOTIVATION AS VARIABLE OF MEDIATOR ON PERFORMANCE PERSONNEL UNDER THE POLDA KEPRI Leyanto Leyanto
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 2 (2020): Volume 10, Nomor 02, Agustus 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i2.362

Abstract

In this study, researchers used data respondents, such as gender, age and long working respondents to provide information on the characteristics of respondents. The questionnaire was spread over 145. The discussion in this chapter is the result of field studies to obtain data on the questionnaire responses that measure five key variables in the study, namely transformational leadership, job responsibilities, working spirit, work motivation and employee performance. Analysis of data with parametric and non parametrics statistics using SEM-PLS (structural Equation Modelling-Partial Least Square) on the research variables, instrument test, normality test, hypothesis test, as well as discussion of the hypothesis test results and path analysis Path. This research uses path analysis to test relationship patterns that reveal the influence of variables or a set of variables against other variables, both direct influences and indirect influences. Calculation of line coefficient in this study assisted with Smart PLS Ver 3.0. To find out the direct and indirect influences between variables then be seen from the calculation result of the line coefficient and to know the significance. The effect of the X3 variable against X4 has a P-Values value of 0.000 < 0.05, so it can be stated that the effect between X3 against X4 is significant. The effect of the X3 variable against X4 has a P-Values value of 0.000 < 0.05, so it can be stated that the effect between X3 against X4 is significant. The effect of X4 to Y variables has a P-Values value of 0.001 < 0.05, so it can be stated that the effect between X4 to Y is significant. The effect of the X1 variable against X4 has a P-Values value of 0.042 < 0.05, so it can be stated that the effect between X1 against X4 is significant. The effect of a X1 variable against Y has a P-Values value of 0.031 < 0.05, so it can be stated that the effect between X1 to Y is significant. The effect of a X1 variable against Y has a P-Values value of 0.039 < 0.05, so it can be stated that the effect between X1 to Y is significant. The effect of a variable X2 against Y has a P-Values value of 0.480 < 0.05, so it can be stated that the effect of the X2 against Y is no significant
DETERMINATION OF COMPETENCY, TRAINING, WORK DISCIPLINE WITH MOTIVATION AS VARIABLE MEDIATOR ON EMPLOYEE PERFORMANCE KABUPATEN KARIMUN BATU DISTRICT Heruska Agustion
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 2 (2020): Volume 10, Nomor 02, Agustus 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i2.358

Abstract

In this study, researchers used data respondents, such as gender, age and long working respondents to provide information on the characteristics of respondents. The questionnaire was spread over 30. The discussion in this chapter is the result of field studies to obtain data on the questionnaire responses that measure five key variables in the study, namely competence, training, work discipline, work motivation and employee performance. Analysis of data with parametric and non parametrics statistics using SEM-PLS (structural Equation Modelling-Partial Least Square) on the research variables, instrument test, normality test, hypothesis test, as well as discussion of the hypothesis test results and path analysis Path. This research uses path analysis to test relationship patterns that reveal the influence of variables or a set of variables against other variables, both direct influences and indirect influences. Calculation of line coefficient in this study assisted with Smart PLS Ver 3.0. To find out the direct and indirect influences between variables then be seen from the calculation result of the line coefficient and to know the significance. The effect of the X3 variable against X4 has a P-Values value of 0.012 < 0.05, so it can be stated that the effect between X3 against X4 is significant. The effect of the variable X3 against Y has a P-Values value of 0.016 < 0.05, so it can be stated that the influence between X3 to Y is significant. The effect of X4 to Y variables has a P-Values value of 0.038 < 0.05, so it can be stated that the effect between X4 to Y is significant. The effect of the X1 variable against X4 has a P-Values value of 0.001 < 0.05, so it can be stated that the effect between X1 against X4 is significant. The effect of a X1 variable against Y has a P-Values value of 0.008 < 0.05, so it can be stated that the effect between X1 to Y is significant. The effect of a variable X2 against X4 has a P-Values value of 0.024 < 0.05, so it can be stated that the effect of X2 against X4 is significant. The effect of a variable X2 against Y has a P-Values value of 0.037 < 0.05, so it can be stated that the effect of the X2 against Y is significant
EFFECT OF ETHICS AND WORK EXPERIENCE ON THE WORK ACHIEVEMENT OF HIGH SCHOOL TEACHERS IN BATAM CITY Adnan Suhardis
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 2 (2020): Volume 10, Nomor 02, Agustus 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i2.363

Abstract

The teacher is an educational component that is very important in determining the success of education to achieve its goals. The teacher is the main actor who is directly related to the teaching and learning process (KBM) in the classroom. The factors that gain a teacher's performance are ethics and experience that become benchmarks in increasing or decreasing work performance. This study aims to analyze the partial and simultaneous influence of ethics and experience variables on work performance. The data analysis technique uses multiple linear regression analysis techniques with two independent variables and one dependent variable. The results of the analysis obtained that the t-count value of work ethics (X1) was 4.126> t table 2.006, and the value of Sig. <0.05 (0.00 <0.05), so it can be concluded that work ethic (X1) has a significant effect in a positive direction on work performance. The t-count value of work experience variable (X1) is 4.126> t table 2.006, and the Sig. <0.05 (0.00 <0.05), so it can be concluded that work experience (X1) has a significant effect in a positive direction on work performance. F count value of 78.546 with a significant level of 0.000. Furthermore, how to obtain the Ftable value with a significant level of 95% (α = 0.05) is to use the formula (F table = F (K: n-k) = F (3:69) = 2.78) so the F table value is 2.78 . It can be concluded that the F count value is 78.546> Ftable value is 2.78. This means that simultaneously there is a significant influence between work ethics and work experience variables on the dependent variable work performance (Y).

Page 1 of 1 | Total Record : 8

 1 

Filter by Year

2020 2020


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