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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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WORK DISCIPLINE DETERMINATION, COMPETENCE AND WORK ENVIRONMENT WITH WORK SATISFACTION AS VARIABLES INTERVENING ON ORGANIZATIONAL COMMITMENTS PEGAWAI BATAM UNIVERSITY WITH USING SEM-PLS (PARTIAL LEAST SQUARE) Muhammad Tommy Arby Rumengan; Jemmy Rumengan; Yunazar Manjang
Zona Manajerial: Program Studi Manajemen (S1) Vol 9 No 1 (2019): Zona Manajerial: Program Studi Manajemen
Publisher : Universitas Batam

In this study, researchers used respondents' data, such as gender, age and duration of work of respondents to be able to provide information about the characteristics of respondents. Where from the questionnaire distributed questionnaire as many as 65 respondents using census techniques.Data analysis with parametric and non parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, instrument test, normality test, hypothesis test, and discussion of the results of hypothesis testing and Path Path Analysis. This study uses path analysis (path analysis) to test the pattern of relationships that reveal the influence of variables or a set of variables on other variables, both direct influence and indirect influence.The results of the study are as follows: The effect of the X3 variable on X4 has a P-Values value of 0,000 <0,05, so it can be stated that the influence between X3 and X4 is significant. The effect of the X3 variable on Y has a P-Values value of 0,000> 0.05, so it can be stated that the effect of X3 on Y is significant. The effect of the X4 variable on Y has a P-Values value of 0.008> 0.05, so it can be stated that the effect between X4 on Y is significant. The effect of X1 on X4 has a P-Values value of 0.047 <0.05, so it can be stated that the influence between X1 to X4 is significant. The influence of X1 on Y has a P-Values value of 0.010> 0.05, so it can be stated that the influence between X1 and Y is significant. The effect of the X2 variable on X4 has a P-Values value of 0.003 <0.05, so it can be stated that the effect between X2 on X4 is significant. The influence of X2 on Y has a P-Values value of 0.007 <0.05, so it can be stated that the effect between X2 on Y is significant.

DETERMINATION OF CAREER DEVELOPMENT, INCENTIVES, DISCIPLINE OF EMPLOYEES ON EMPLOYEE PERFORMANCE THROUGH WORK SATISFACTION IN ENVIRONMENTAL MANAGEMENT BOARD AND TAX RETRIBUTION IN BATAM CITY Elvirta Revianti; Chablullah Wibisono; Indrayani Indrayani
Zona Manajerial: Program Studi Manajemen (S1) Vol 9 No 1 (2019): Zona Manajerial: Program Studi Manajemen
Publisher : Universitas Batam

In this study, researchers used respondent data, such as gender, age, and length of work of respondents in order to provide information about the characteristics of respondents. Wherefrom the questionnaire distributed were 103 respondents. Data analysis with parametric and non-parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, test instruments, normality tests, hypothesis testing, and discussion of the results of hypothesis testing and Path Analysis Paths. This research uses the analysis path (path analysis) to test the pattern of relationships that reveal the influence of variables or a set of variables on other variables, both direct and indirect effects. The results of the study are as follows: The influence of variables X3 on X4 has a P-Values value of 0.022 <0.05, so it can be stated that the effect between X3 on X4 is significant. The effect of the variable X3 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 the X4 variable on Y has a P-value Values of 0.008> 0.05, so it can be stated that the influence is inter an X4 to Y is significant. The effect of variable X1 to X4 has a P-Values value of 0.006 <0.05, so it can be stated that the influence between X1 to X4 is significant. The effect of the X1 variable on Y has a P-Values value of 0.028> 0,05, so it can be stated that the influence between X1 to Y is significant. The effect of variable X2 on X4 has a P-Values value of 0,000 <0.05, so it can be stated that the influence between X2 on X4 is significant. The effect of variable X2 on Y has P-Values value of 0.013 <0.05, so it can be stated that the influence between X2 on Y is significant.Â

COMPENSATION DETERMINATION, ORGANIZATIONAL CULTURE AND WORK ENVIRONMENT WITH WORK SATISFACTION AS INTERVENING VARIABLES TO PERFORMANCE OF REGIONAL SECRETARIAT EMPLOYEES BINTAN DISTRICT USING SEM-PLS (PARTIAL LEAST SQUARE) Waliyar Rachman; Jemmy Rumengan; Angelina Eleonora Rumengan
Zona Manajerial: Program Studi Manajemen (S1) Vol 9 No 1 (2019): Zona Manajerial: Program Studi Manajemen
Publisher : Universitas Batam

In this study, researchers used respondents' data, such as gender, age and duration of work of respondents to be able to provide information about the characteristics of respondents. Where from the questionnaire distributed questionnaire as many as 60 respondents using census techniques. Data analysis with parametric and non parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, instrument test, normality test, hypothesis test, and discussion of the results of hypothesis testing and Path Path Analysis. This study uses path analysis (path analysis) to test the pattern of relationships that reveal the influence of variables or a set of variables on other variables, both direct influence and indirect influence.The results of the study are as follows: The effect of the X3 variable on X4 has a P-Values value of 0,000 <0,05, so it can be stated that the influence between X3 and X4 is significant. The effect of the X3 variable on Y has a P-Values value of 0.020> 0.05, so it can be stated that the effect between X3 on Y is significant. The effect of the X4 variable on Y has a P-Values value of 0.002> 0.05, so it can be stated that the influence between X4 on Y is significant. The influence of X1 on X4 has a P-Values value of 0.008 <0.05, so it can be stated that the influence between X1 to X4 is significant. The influence of X1 on Y has a P-Values value of 0.016> 0.05, so it can be stated that the influence between X1 and Y is significant. The effect of the X2 variable on X4 has a P-Values value of 0.012 <0.05, so it can be stated that the effect between X2 on X4 is significant. The influence of X2 on Y has a P-Values value of 0,000 <0,05, so it can be stated that the effect between X2 on Y is significant.Â

DETERMINATION OF COMMUNICATION CLIMATE, COMPETENCE, DISCIPLINE OF EMPLOYEE PERFORMANCE THROUGH WORK SATISFACTION AS AN INTERVENING VARIABLE Yuritanto Yuritanto; Jemmy Rumengan; Indrayani Indrayani
Zona Manajerial: Program Studi Manajemen (S1) Vol 9 No 1 (2019): Zona Manajerial: Program Studi Manajemen
Publisher : Universitas Batam

This research is a quantitative descriptive study of communication climate, competence, discipline on employee performance through job satisfaction as an intervening variable. This study is to obtain data and information on communication climate, competence, work discipline and employee satisfaction that are used as analysis material to find out its effects on the performance of Tanjungpinang Navigation Class I Office employees. Survey data collection is carried out by utilizing the attitude stage questionnaire that has been adapted for the topic of this research. The number of respondents was 142 people. In order to be able to characterize the attitude, the structural model with Smart PLS 3.2.8 assistive measurement tools is used as a research framework. The results showed that there was a significant relationship between variables Climate communication, Competence, and Discipline on employee performance by 40.3%, and the remaining 59.7% explained by other constructs outside that were examined in this study. The majority of respondents in the research location have insight into addressing this research based on their influence and benefits for employees. The research data shows that it has fulfilled the Composite Reliability assumption with a spread percentage value of 80.6% for the communication climate, 81% for its competence, 79.6% for employee discipline and 85.9% for employee performance and 81% for employee job satisfaction. Showing indicators in each structure have a high-reliability consistency

DETERMINATION OF ORGANIZATIONAL CLIMATE, COMPETENCY, AND COMPENSATION TOWARD JOB SATISFACTION WITH CAREER DEVELOPMENT AS INTERVENING VARIABLE AT IMMIGRATION OFFICE OF BATAM USING PARTIAL LEAST SQUARE Shinta Buana Putri; Fachruddin Fachruddin; Chablullah Wibisono
Zona Manajerial: Program Studi Manajemen (S1) Vol 9 No 1 (2019): Zona Manajerial: Program Studi Manajemen
Publisher : Universitas Batam

In this study, researchers used respondents data, such as gender, level of education, and class / rankÂ of respondents to be able to provide information about the characteristics of respondents. Where from the questionnaire distributed questionnaire as many as 169 respondents. This research is the result of a field study to obtain a questionnaire answer data that measures five main variables in this study, namely organizational climate, competency, compensation, job satisfaction and career development. Data analysis with parametric and non parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, instrument test, normality test, hypothesis test, and discussion of the results of hypothesis testing and Path Path Analysis. This study uses path analysis (path analysis) to test the pattern of relationships that reveal the influence of variables or a set of variables on other variables, both direct influence and indirect influence. Calculation of the path coefficient in this study is assisted by Smart PLS Ver 3.0. To find out the direct and indirect effects between variables, it can be seen from the results of the calculation of the path coefficient while to find out the significance. The results showed work Organizational Climate, Competency, Compensation significantly influence Job Satisfaction Through Career Development at Immigration Office of Batam

DETERMINATION OF TRAINING COMPETENCE, CHARACTERISTICS OF INDIVIDUALS ON EMPLOYEEâ€™S SATISFACTION THROUGH WORK ACHIEVEMENT IN UPTD PUSKESMAS SEI LEKOP BINTAN DISTRICT Wiwik Kurniani; Chablullah Wibisono; Indrayani Indrayani
Zona Manajerial: Program Studi Manajemen (S1) Vol 9 No 1 (2019): Zona Manajerial: Program Studi Manajemen
Publisher : Universitas Batam

Sei Lekop Health Center is an overview of the health situation in the UPTD of the Sei Lekop Health Center which is published once a year, in this profile contains various data about health, which includes health status data, health efforts and health resources. The health profile also provides other supporting data related to health such as population data, socio-economic data, environmental data and other data. Data is analyzed by simple analysis and displayed in the form of tables, maps and graphs. In this study the population of researchers amounted to 102 people using the Slovin formula, the sample size of this study from the total population taken by researchers was 102 people and using an error rate of 5%, the number of responses was obtained by 81 people.In the table above the results of the influence of X1, X2 and X3 on X4 (e1) are equal to 0.467, which means that the effect of X1, X2 and X3 on X4 is 46.70%. Then, the effect of X1, X3 and X4 on Y is 0.607, which means that the influence of X1, X3 and X4 on Y is 66.80%.

DETERMINATION OF WORK DISCIPLINE, WORKING ENVIRONMENT, WORKING FACILITIES WITH JOB SATISFACTION AS A VARIABLE OF MEDIATOR ON ORGANIZATIONAL COMMITMENTS PLANNING AGENCY, RESEARCH AND PROVINCIAL DEVELOPMENT RIAU ISLANDS PROVINCE Dodi Susetio
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 74. 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 discipline, work environment, work facilities, 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 0.007 < 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 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 0.008 < 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 0.001 < 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. 1. The effect of a variable X2 against Y has a P-Values value of 0.022 < 0.05, so it can be stated that the effect between X2 against Y is significant.

DETERMINATION OF SELF EFFICACY, WORK DISCIPLINE, WORKING ENVIRONMENT TOWARDS MOTIVATION AS A VARIABLE OF MEDIATOR TO THE PERFORMANCE OF HEALTH SERVICE OFFICERS RIAU ISLANDS PROVINCE Dwi Fery Astuty
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 104. 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, disipin work, working environment, 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 the X4 has a P-Values value of 0.008 < 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 0.000 > 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 0.008 > 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 0.018 < 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 0.047 > 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 0.000 < 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.

THE DETERMINATION OF LOCUS OF CONTROL, WORK DISCIPLINE, WORKING ENVIRONMENT WITH WORK SATISFACTION AS A VARIABLE MEDIATOR ON THE WORK MOTIVATION OF INSPECTORATE OFFICERS RIAU ISLANDS PROVINCE Dwi Murnianty; Muammar Khaddafi
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 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 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 0.007 < 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 0.041 < 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 0.004 < 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 TRANSFORMATIONAL LEADERSHIP, SELF EFFICACY AND WORK RESPONSIBILITIES WITH MOTIVATION AS VARIABLE OF MEDIATOR ON THE PERFORMANCE OF GENERAL BUREAU OFFICER OF PROVINCIAL SECRETARIAT OF RIAU ISLANDS USING SEM PLS Endrie Djoko Satrio; Muammar Khaddafi
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 83. 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, self efficacy, job responsibilities, 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 0.008 < 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 0.017 < 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 the X1 variable against X4 has a P-Values value of 0.000 < 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 0.012 < 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 0.046 < 0.05, so it can be stated that the effect of the X2 against Y is significant.

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