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
 3   4   5   6   7 
DETERMINATION OF COMPENSATION, WORK FACILITIES, WORK DISCIPLINE OF WORK MOTIVATION AS A VARIABLE OF WORK SATISFACTION MEDIATOR PT. ARTAGAS PRIMANDIRI Decky Chandra
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 1 (2020): Volume 10, Nomor 01, April 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i1.555

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 38. 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 compensation, work facilities, work discipline, work motivation 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 0.005 < 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 0.006 < 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 0.008 < 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 0.009 < 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 X4 has a P-Values value of 0.006 < 0.05, so it can be stated that the effect of X2 against X4 is significant.
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 EMOTIONAL INTELLIGENCE, INTELLECTUAL INTELLIGENCE AND WORKING SPIRIT WITH MOTIVATION OF WORK AS VARIABLE MEDIATOR PERFORMANCE OF JOB OFFICERS GENERAL AND SPATIAL SETUP KARIMUN DISTRICT R. Machrizal; Angelina Eleonora Rumengan
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 3 (2020): Volume 10, Nomor 03, Desember 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i3.576

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 109. The discussion in this chapter is the result of a field study to obtain a questionnaire response data that measures the five key variables in the study: Emotional Intelligence, inetelectual intelligence, work 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 0.010 < 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 0.014 < 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 0.013 < 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 0.000 < 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 0.028 < 0.05, so it can be stated that the effect of the X2 against Y is significant.
DETERMINATION OF EMOTIONAL INTELLIGENCE, ORGANIZATIONAL CULTURE, WORK DISCIPLINE WITH MOTIVATION AS A VARIABLE OF MEDIATOR ON EMPLOYEE WORK SATISFACTION PROVINCIAL LEGISLATIVE SECRETARY OF RIAU ISLANDS Adriansyah Adriansyah
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 1 (2020): Volume 10, Nomor 01, April 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i1.551

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 88. The discussion in this chapter is the result of a field study to obtain data on the questionnaire responses that measure five key variables in the study, namely organizational culture, work discipline, work environment, 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 influence of the variable X3 on X4 has a P-Values value of 0.001 <0.05, so it can be stated that the influence of X3 on 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 influence between X3 on Y is significant. The effect of variable X4 on Y has a P-Values value of 0,000 <0.05, so it can be stated that the influence between X4 on Y is significant. The effect of variable 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 variable X1 on Y has a P-Values value of 0.009 <0.05, so it can be stated that the effect between X1 on Y is significant. The effect of variable X2 on X4 has a P-Values value of 0.009 <0.05, so it can be stated that the influence between X2 to X4 is significant. The effect of the X2 variable on Y has a value i P-Values of 0.001 <0.05, so it can be stated that the influence between X2 on Y is significant
DETERMINATION OF JOB ANLYSIS, COMMUNICATION AND CULTURE ORGANIZATION WITH THE MOTIVATION OF WORK AS A VARIABLE OF MEDIATOR TO THE PERFORMANCE OF THE LIBRARY OFFICERS AND ARCHIVES OF TANJUNG PINANG CITY Riawati Riawati; Adnan Suhardis
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 3 (2020): Volume 10, Nomor 03, Desember 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i3.581

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 job anlysis, communication, organizational culture, 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 0.023 < 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 0.031 < 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 0.022 < 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 0.005 < 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 0.009 < 0.05, so it can be stated that the effect of the X2 against Y is significant.
THE DETERMINATION OF LOCUS OF CONTROL, WORK DISCIPLINE, WORKING ENVIRONMENT TO WORK SATISFACTION AS A VARIABLE MEDIATOR TO THE MOTIVATION OF EMPLOYEE WORK KARIMUN DISTRICT FISHERIES OFFICE Dedy Irawan
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 1 (2020): Volume 10, Nomor 01, April 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i1.556

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 38. 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 locus of control, work discipline, work environment, job satisfaction and employee motivation. 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 0.002 < 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 0.047 < 0.05, so it can be stated that the effect between X3 to Y is the Significance of the Effect of X4 variables against Y has a P-Values value of 0.047 < 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 0.021 < 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 0.011 < 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 0.008 < 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 0.041 < 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 RESPONSIBILITIES, WORK FACILITIES, WORK DISCIPLINE WITH MOTIVATION AS VARIABLE MEDIATOR TO THE CENTRAL EMPLOYEE'S PERFORMANCE DATA AND SYSTEM MANAGEMENT INFORMATION BP BATAM Rahmat Ikraldo Busyra; Irwansyah Irwansyah
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 3 (2020): Volume 10, Nomor 03, Desember 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i3.577

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 48. 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 responsibility, work facilities, 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 influence of the variable X3 on X4 has a P-Values value of 0,000 <0.05, so it can be stated that the influence between X3 on X4 is significant. The effect of the X3 variable on Y has a P-Values value of 0,005 <0.05, so it can be stated that the effect between X3 on Y is significant. The influence of the variable X4 on Y has a P-Values value of 0.008 <0.05, so it can be stated that the influence between X4 on Y is significant. The influence of variable X1 to X4 has a P-Values value of 0.039 <0.05, so it can be stated that the influence between X1 to X4 is significant. The effect of the variable X1 on Y has a P-Values value of 0.017 <0.05, so it can be stated that the effect between X1 on Y is significant. The influence of variable X2 on X4 has a P-Values value of 0.006 <0.05, so it can be stated that the influence of X2 on X4 is significant. The influence of the variable X2 on Y has a P-Values value of 0.008 <0.05, so it can be stated that the influence between X2 on Y is significant.
DETERMINATION OF SELF EFFICACY, LOCUS OF CONTROL AND MOTIVATION WORK WITH WORK SATISFACTION AS A VARIABLE INTERVENING TO THE COMMITMENT OF THE ORGANIZATION REGIONAL INSPECTORATE OFFICERS RIAU ISLANDS PROVINCE Agus Supriono
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 1 (2020): Volume 10, Nomor 01, April 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i1.552

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 field studies to obtain data on the questionnaire responses that measure five key variables in the study, namely self efficacy, locus of control, work motivation, job satisfaction and employee organizational commitment. 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 0.017 < 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 0.006 < 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 0.000 < 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 0.003 < 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 0.026 < 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.

Page 5 of 8 | Total Record : 75

 3   4   5   6   7 

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