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Zona Manajerial: Program Studi Manajemen (S1) Universitas Batam

Manajerial
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Published by Universitas Batam

ISSN : 20877331 EISSN : 27215873 DOI : https://doi.org/10.37776/zonamanajer

Core Subject : Economy, Humanities, Science, Social,

Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Physics Social Sciences

The Journal Manajerial is a double blind peer-reviewed academic journal and open access to Management. The journal is published bimonthly once by Universitas Batam. The Journal Manajerial provides a means for sustained discussion of relevant issues that fall within the focus and scopes of the journal which can be examined empirically. The journal publishes research articles covering all aspects of management, ranging from Management, Bussines and Economics, that belong to the management context.

Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)

Articles 140 Documents

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DETERMINATION OF LEADERSHIP, COMPETENCE AND WORK DISCIPLINE WITH MOTIVATION AS VARIABLE OF MEDIATOR TO THE ORGANIZATIONAL COMMITMENT OF AGENCY OFFICERS BATAM PORT MANAGEMENT Erik Aditama
Zona Manajerial: Program Studi Manajemen (S1) Vol 10 No 1 (2020): Zona Manajerial: Program Studi Manajemen
Publisher : Universitas Batam

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 40. 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, competence, work discipline, work motivation and employee organization 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 influence of the variable X3 on X4 has a P-Values value of 0.007 <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 0,000 <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 0.009 <0.05, so it can be stated that the influence between X4 on Y is significant. The influence of the variable X1 to X4 has a P-Values value of 0.041 <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 0.006 <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 0.004 <0.05, so it can be stated that the influence between X2 on X4 is significant. The influence of the variable X2 on Y has a P-Values value of 0.010 <0.05, so it can be stated that the influence between X2 on Y is significant.

DETERMINATION OF DISCIPLINE, COMMUNICATION AND COMPETENCE WITH WORK SATISFACTION AS A VARIABLE MEDIATOR OF THE ORGANIZATION'S COMMITMENT TO HOUSING, RESIDENTIAL AREA AND CLEANLINESS KARIMUN DISTRICT Eriyanto Eriyanto
Zona Manajerial: Program Studi Manajemen (S1) Vol 10 No 1 (2020): Zona Manajerial: Program Studi Manajemen
Publisher : Universitas Batam

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 46. 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 discipline, communication, competence, job satisfaction and the commitment of the employee's organization. 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 0.007 < 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 0.038 < 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 0.007 < 0.05, so it can be stated that the effect of the X2 against Y is significant.

DETERMINATION OF WORK ENVIRONMENT, FACILITIES WORK, CLIMATE ORGANIZATION WITH THE MOTIVATION OF WORK AS A VARIABLE OF MEDIATOR ON EMPLOYEE SATISFACTION WORK LIBRARY AND ARCHIVAL OFFICE RIAU PROVINCIAL GOVERNMENT Ersa Famella
Zona Manajerial: Program Studi Manajemen (S1) Vol 10 No 1 (2020): Zona Manajerial: Program Studi Manajemen
Publisher : Universitas Batam

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 160. 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 working environment, work facilities, organizational climate, 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 0.000 < 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 0.003 < 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 0.037 < 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 0.017 < 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 0.030 < 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.

DETERMINATION OF EDUCATION, TRAINING AND COMPETENCE WITH THE MOTIVATION OF WORKING AS A VARIABLE OF THE MEDIATOR ON THE PERFORMANCE OF MARINE SERVICE OFFICERS AND FISHERIES OF RIAU ISLANDS PROVINCE Fery Sontua Situmorang
Zona Manajerial: Program Studi Manajemen (S1) Vol 10 No 1 (2020): Zona Manajerial: Program Studi Manajemen
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/zm.v10i1.566

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 93. 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 education, training, competence, 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 variable X3 against Y has a P-Values value of 0.015 < 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 0.010 < 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 0.003 < 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 0.011 < 0.05, so it can be stated that the effect of the X2 against Y is significant.

DETERMINATION OF COMPETENCE, EDUCATION AND WORKING ENVIRONMENT WITH JOB SATISFACTION AS A VARIABLE OF MEDIATOR ON EMPLOYEE ORGANIZATION COMMITMENTS TANJUNG PINANG CITY EDUCATION OFFICE Sofiah Mardiansyah
Zona Manajerial: Program Studi Manajemen (S1) Vol 10 No 3 (2020): Zona Manajerial: Program Studi Manajemen
Publisher : Universitas Batam

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 42. 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, education, work environment, job satisfaction and the commitment of the employee's organization. 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 the X4 has a P-Values value of 0.009 < 0.05, so it can be stated that the influence between X3 against X4 is significant. The influence of X3 variables against Y has a P-Values value of 0.048 > 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 0.044 > 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 0.006 < 0.05, so it can be stated that the effect between X1 against X4 is significant. The effect of the X1 variable against Y has a P-Values value of 0.021 > 0.05, so it can be stated that the influence between X1 to Y is significant. The effect of the X1 variable against Y has a P-Values value of 0.007 > 0.05, so it can be stated that the influence between X1 to Y is significant. The effect of a variable X2 against Y has a P-Values value of 0.010 < 0.05, so it can be stated that the effect of the X2 against Y is significant.

DETERMINATION OF THE WORK SPIRIT, LOCUS OF CONTROL AND WORK DISCIPLINE WITH THE COMMITMENT OF THE ORGANIZATION AS A VARIABLE MEDIATOR TO THE MOTIVATION OF WORK OFFICER DISPORA RIAU ISLANDS PROVINCE Sulaiha Sulaiha
Zona Manajerial: Program Studi Manajemen (S1) Vol 10 No 3 (2020): Zona Manajerial: Program Studi Manajemen
Publisher : Universitas Batam

In this study, researchers used data respondents, such as gender, age and long working respondents to provide information on the characteristics of the respondent. The questionnaire was spread over 46. 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 the spirit of work, locus of control, work discipline, organizational commitment, 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 the X4 has a P-Values value of 0.013 < 0.05, so it can be stated that the influence between X3 against X4 is significant. The influence of X3 variables against Y has a P-Values value of 0.012 > 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 0.010 < 0.05, so it can be stated that the effect between X1 against X4 is significant. The effect of the X1 variable against Y has a P-Values value of 0.006 > 0.05, so it can be stated that the influence between X1 to Y is significant. The effect of a variable X2 against X4 has a P-Values value of 0.005 < 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 0.048 < 0.05, so it can be stated that the effect of the X2 against Y is significant.

DETERMINATION OF ORGANIZATIONAL CULTURE, WORK FACILITIES, COMMUNICATION WITH WORK SATISFACTION AS MODERATOR VARIABLES TO PERFORMANCE OF HUMAS BUREAU, PROTOCOL AND CONNECTORS OF PROVINCE SECRETARIATRIAU ISLANDS Suryani Suryani
Zona Manajerial: Program Studi Manajemen (S1) Vol 10 No 3 (2020): Zona Manajerial: Program Studi Manajemen
Publisher : Universitas Batam

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 organizational culture, work facilities, communication, 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.Â Â Â Â Â Â Â Â Â Â Â The effect of the X3 variable against X4 has a P-Values value of 0.020 < 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 0.021 < 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 0.035 < 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 0.030 < 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 0.018 < 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 0.009 < 0.05, so it can be stated that the effect of the X2 against Y is significant.

DETERMINATION OF ETHICS, WORK DISCIPLINE, WORK ENVIRONMENT WITH JOB SATISFACTION AS A VARIABLE MEDIATOR TO THE MOTIVATION OF WORK DISTRICT OFFICERS TANJUNG PINANG EAST Suzana Suzana
Zona Manajerial: Program Studi Manajemen (S1) Vol 10 No 3 (2020): Zona Manajerial: Program Studi Manajemen
Publisher : Universitas Batam

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 77. 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 ethics, 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 variable X3 on X4 has a P-Values value of 0.017 <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 0,000 <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 0.046 <0.05, so it can be stated that the influence between X4 on Y is significant. The influence of the variable X1 to X4 has a P-Values value of 0.046 <0.05, so it can be stated that the influence between X1 to X4 is significant. The influence of the variable X1 on Y has a P-Values value of 0.045 <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 0.005 <0.05, so it can be stated that the influence between X2 on X4 is significant. The influence of the variable X2 on Y has a P-Values value of 0.047 <0.05, so it can be stated that the influence between X2 on Y is significant.

DETERMINATION OF COMPETENCE, EFFECTIVENESS, ABILITY TO WORK WITH JOB SATISFACTION AS A VARIABLE OF THE MEDIATOR ON THE PERFORMANCE OF CAPITAL INVESTMENT SERVICE EMPLOYEES INTEGRATED SERVICES ONE DOOR KARIMUN REGENCY Syamsuar Syamsuar
Zona Manajerial: Program Studi Manajemen (S1) Vol 10 No 3 (2020): Zona Manajerial: Program Studi Manajemen
Publisher : Universitas Batam

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 34. 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, effectiveness, work ability, 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 the X4 has a P-Values value of 0.028 < 0.05, so it can be stated that the influence between X3 against X4 is significant. The influence of X3 variables against Y has a P-Values value of 0.041 > 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 0.009 > 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 0.015 < 0.05, so it can be stated that the effect between X1 against X4 is significant. The effect of the X1 variable against Y has a P-Values value of 0.007 > 0.05, so it can be stated that the influence between X1 to Y is significant. The effect of a variable X2 against X4 has a P-Values value of 0.017 < 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 0.008 < 0.05, so it can be stated that the effect of the X2 against Y is significant.

DETERMINATION OF ORGANIZATIONAL CULTURE, COMPETENCE, WORK ENVIRONMENT WITH JOB SATISFACTION AS A VARIABLE INTERVENING AGAINST DISTRICT OFFICERS PERFORMANCE BATAM CITY T. AKBAR
Zona Manajerial: Program Studi Manajemen (S1) Vol 10 No 3 (2020): Zona Manajerial: Program Studi Manajemen
Publisher : Universitas Batam

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 103. 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 organizational culture, competence, work environment, 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 0.002 < 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 0.000 < 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 0.038 < 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 0.010 < 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 0.006 < 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 0.006 < 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 0.002 < 0.05, so it can be stated that the effect of the X2 against Y is significant.

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