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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 EDUCATION, TRAINING AND MOTIVATION WORK WITH JOB SATISFACTION AS A VARIABLE OF MEDIATOR ON THE PERFORMANCE OF REGIONAL INSPECTORATE OFFICERS RIAU ISLANDS PROVINCE Tri Yuli Widyastuti
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 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 education, training, 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 influence of the variable X3 on X4 has a P-Values value of 0.018 <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 0.005 <0.05, so it can be stated that the effect of X4 on Y is significant. The influence of the variable X1 to X4 has a P-Values value of 0.034 <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 0.005 <0.05, so it can be stated that the effect between X1 on Y is significant. The influence of the variable X2 on X4 has a P-Values value of 0,000 <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 0.027 <0.05, so it can be stated that the influence between X2 on Y is significant.

DETERMINATION OF EMOTIONAL INTELLIGENCE, INTELLECTUAL INTELLIGENCE AND MOTIVATION WORKING AS A VARIABLE INTERVENING AGAINST PERFORMANCE OFFICERS, PROCESSING AND DEVELOPMENT RIAU ISLANDS PROVINCE Udi Harbian
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 74. 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, namely emotional intelligence, intellectual 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 0.000 < 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 0.020 < 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 0.011 < 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 0.002 < 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 0.003 < 0.05, so it can be stated that the effect of the X2 against Y is significant.

DETERMINATION OF COMPETENCE, EDUCATION, SELF EFFICACY WITH THE SPIRIT OF WORK AS VARIABLE INTERVENING AGAINST EMPLOYEE PERFORMANCE TANJUNG PINANG CITY EDUCATION OFFICE Marsha Fajaryani; Jemmy Rumengan
Zona Manajerial: Program Studi Manajemen (S1) Vol 10 No 2 (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, self efficacy, 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 influence of the variable X3 on X4 has a P-Values value of 0.008 <0.05, so it can be stated that the influence between X3 on X4 is significant. The influence of the variable X3 on X4 has a PValues value of 0,000 <0.05, so it can be stated that the influence between X3 on X4 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 the variable X1 to X4 has a P-Values value of 0.010 <0.05, so it can be stated that the influence between X1 to X4 is significant. The effect of the variable X1 on Y has a P-Values value of 0.047 <0.05, so it can be stated that the effect between X1 on Y is significant. The influence of the variable X2 on X4 has a P-Values value of 0,000 <0.05, so it can be stated that the influence of X2 on X4 is significant. The effect of the variable X2 on Y has a P-Values value of 0.007 <0.05, so it can be stated that the influence between X2 on Y is significant.

DETERMINATION OF EMOTIONAL INTELLIGENCE, INTELLECTUAL INTELLIGENCE AND DISCIPLINED WORKING SPIRIT WORKING AS A VARIABLE OF MEDIATOR OFFICER PERFORMANCE AT THE SECRETARIAT AREAS OF TANJUNG PINANG CITY Mira Santika; Angelina Eleonora Rumengan
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 110. 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 emotional intelligence, intellectual intelligence, work spirit, work discipline, 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 0.000 < 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 PValues value of 0.005 < 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 0.045 < 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 0.021 < 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 0.019 < 0.05, so it can be stated that the effect of the X2 against Y is significant.

DETERMINATION OF CAREER DEVELOPMENT, WORKING ENVIRONMENT, WORKING DISCIPLINE WITH JOB SATISFACTION AS VARIABLE MEDIATOR TOWARDS WORK MOTIVATION AGENCY AND RESEARCH PLANNING OFFICERS DEVELOPMENT IN KARIMUN DISTRICT Muhammad Rapi; Elli Widia
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 45. 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 career development, work environment, work discipline, 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 0.009 < 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 0.000 < 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 0.033 < 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 0.014 < 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 0.039 < 0.05, so it can be stated that the effect of the X2 against Y is significant.

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, self efficacy, 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 influence of the variable X3 on X4 has a P-Values value of 0.008 <0.05, so it can be stated that the influence between X3 on X4 is significant. 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 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 the variable X1 to X4 has a P-Values value of 0.010 <0.05, so it can be stated that the influence between X1 to X4 is significant. The effect of the variable X1 on Y has a P-Values value of 0.047 <0.05, so it can be stated that the effect between X1 on Y is significant. The influence of the variable X2 on X4 has a P-Values value of 0,000 <0.05, so it can be stated that the influence of X2 on X4 is significant. The effect of the variable X2 on Y has a P-Values value of 0.007 <0.05, so it can be stated that the influence between X2 on Y is significant.

DETERMINATION OF EMOTIONAL INTELLIGENCE, INTELLECTUAL INTELLIGENCE AND DISCIPLINED WORKING SPIRIT WORKING AS A VARIABLE OF MEDIATOR OFFICER PERFORMANCE AT THE SECRETARIAT AREAS OF TANJUNG PINANG CITY Mira Santika; Angelina Eleonora Rumengan
Zona Manajerial: Program Studi Manajemen (S1) Vol 10 No 2 (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 110. 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 emotional intelligence, intellectual intelligence, work spirit, work discipline, 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 0.000 < 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 0.005 < 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 0.045 < 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 0.021 < 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 0.019 < 0.05, so it can be stated that the effect of the X2 against Y is significant.

DETERMINATION OF CAREER DEVELOPMENT, WORKING ENVIRONMENT, WORKING DISCIPLINE WITH JOB SATISFACTION AS VARIABLE MEDIATOR TOWARDS WORK MOTIVATION AGENCY AND RESEARCH PLANNING OFFICERS DEVELOPMENT IN KARIMUN DISTRICT Muhammad Rapi; Elli Widia
Zona Manajerial: Program Studi Manajemen (S1) Vol 10 No 2 (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 45. 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 career development, work environment, work discipline, 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 0.009 < 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 0.000 < 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 0.033 < 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 0.014 < 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 0.039 < 0.05, so it can be stated that the effect of the X2 against Y is significant.

DETERMINATION OF COMPENSATION, COMPETENCE AND WORKLOAD WITH THE MOTIVATION OF WORKING AS A VARIABLE OF MEDIATOR ON THE WORK SATISFACTION OF EMPLOYEES OF THE FINANCIAL MANAGEMENT AND REGIONAL ASSETS OF KARIMUN REGENCY Muhammad Shaifun; Sri Yanti
Zona Manajerial: Program Studi Manajemen (S1) Vol 10 No 2 (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 compensation, competence, workload, 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 0.023 < 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 0.000 < 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 0.008 < 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 0.006 < 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 0.000 < 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 0.042 < 0.05, so it can be stated that the effect of the X2 against Y is significant.

DETERMINATION OF RESPONSIBILITIES OF WORK, EFFECTIVENESS, WORK FACILITIES WITH THE MOTIVATION OF WORK AS VARIABLES MEDIATOR ON THE ORGANIZATIONAL COMMITMENT OF DISTRICT OFFICERS BEHIND PADANG Muhammad Yogi Arief Kurniawan; Indrayani Indrayani
Zona Manajerial: Program Studi Manajemen (S1) Vol 10 No 2 (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 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 job responsibilities, effectiveness, work facilities, work motivation and employee organization commitments. 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 0.008 < 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 0.023 < 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 0.006 < 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 0.001 < 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 0.005 < 0.05, so it can be stated that the effect of the X2 against Y is significant

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