http://ejurnal.univbatam.ac.id/index.php/Manajerial/issue/feedZona Manajerial: Program Studi Manajemen (S1) Universitas Batam2021-05-21T10:45:25+00:00Sri Yanti, SE, MMzonamanajerial@univbatam.ac.idOpen Journal Systems<p align="justify">Zona Manajerial adalah jurnal peer-review yang dikelola oleh Program Studi Manajemen (S1) Universitas Batam. Zona Manajerial bertujuan untuk mempublikasikan artikel di bidang manajemen yang diantaranya di bidang Manajemen Umum, Manajemen Sumber Daya Manusia, Manajemen Keuangan, Manajemen Pemasaran, Manajemen Operasional, Manajemen Tata kelola perusahaan, Etika dan Profesionalisme, Manajemen perusahaan, Manajemen Pendidikan, Manajemen Informasi Sistem dan Manajemen Strategik. Zona Manajerial Konsisten dengan tujuannya, Zona Manajerial memberikan wawasan di bidang Manajemen untuk akademisi, praktisi, peneliti, regulator, mahasiswa, dan pihak lain yang tertarik dalam pengembangan ilmu manajemen. Zona Manajerial menerima naskah penelitian kuantitatif atau kualitatif, yang ditulis dalam Bahasa Indonesia atau Bahasa Inggris. Zona Manajerial menerima manuskrip dari penulis Indonesia dan juga penulis dari berbagai belahan dunia.</p><p align="justify">Zona Manajerial ini terbit perdana dalam media cetak pada bulan Desember Tahun 2010 dengan terbit dua edisi (Desember dan Juni). Sejak April 2012 dari Vol 2 terbitan No 1 (April), Zona Manajerial menerbitkan tiga edisi per tahun yaitu April, Agustus dan Desember.</p>http://ejurnal.univbatam.ac.id/index.php/Manajerial/article/view/606DETERMINATION OF COMPETENCE, EDUCATION, SELF EFFICACY WITH THE SPIRIT OF WORK AS VARIABLE INTERVENING AGAINST EMPLOYEE PERFORMANCE TANJUNG PINANG CITY EDUCATION OFFICE2021-05-21T10:45:24+00:00Marsha Fajaryanizonamanajemen@univbatam.ac.idJemmy Rumenganjemmy.rumengan@univbatam.ac.idIn 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.2021-05-21T00:00:00+00:00Copyright (c) 2021 Marsha Fajaryani, Jemmy Rumenganhttp://ejurnal.univbatam.ac.id/index.php/Manajerial/article/view/621DETERMINATION OF COMPETENCE, EDUCATION, SELF EFFICACY WITH THE SPIRIT OF WORK AS VARIABLE INTERVENING AGAINST EMPLOYEE PERFORMANCE TANJUNG PINANG CITY EDUCATION OFFICE2021-05-21T10:45:24+00:00Marsha Fajaryanizonamanajemen@univbatam.ac.idJemmy Rumenganjemmy.rumengan@univbatam.ac.id<p><em>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 </em><em>42</em><em>. 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.</em><em> </em><em>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.</em></p>2021-05-21T00:00:00+00:00Copyright (c) 2021 Marsha Fajaryani, Jemmy Rumenganhttp://ejurnal.univbatam.ac.id/index.php/Manajerial/article/view/622DETERMINATION OF EMOTIONAL INTELLIGENCE, INTELLECTUAL INTELLIGENCE AND DISCIPLINED WORKING SPIRIT WORKING AS A VARIABLE OF MEDIATOR OFFICER PERFORMANCE AT THE SECRETARIAT AREAS OF TANJUNG PINANG CITY2021-05-21T10:45:24+00:00Mira Santikazonamanajemen@univbatam.ac.idAngelina Eleonora Rumenganangelinaeleonorarumengan@univbatam.ac.id<em>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.</em>2021-05-21T00:00:00+00:00Copyright (c) 2021 Mira Santika, Angelina Eleonora Rumenganhttp://ejurnal.univbatam.ac.id/index.php/Manajerial/article/view/623DETERMINATION OF CAREER DEVELOPMENT, WORKING ENVIRONMENT, WORKING DISCIPLINE WITH JOB SATISFACTION AS VARIABLE MEDIATOR TOWARDS WORK MOTIVATION AGENCY AND RESEARCH PLANNING OFFICERS DEVELOPMENT IN KARIMUN DISTRICT2021-05-21T10:45:24+00:00Muhammad Rapizonamanajemen@univbatam.ac.idElli Widiaelliwidia@univbatam.ac.id<p><em>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.</em><em> </em><em>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.</em></p>2021-05-21T00:00:00+00:00Copyright (c) 2021 Muhammad Rapi, Elli Widiahttp://ejurnal.univbatam.ac.id/index.php/Manajerial/article/view/624DETERMINATION 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 REGENCY2021-05-21T10:45:24+00:00Muhammad Shaifunzonamanajemen@univbatam.ac.idSri Yantisri.yanti@univbatam.ac.id<p><em>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 </em><em>4</em><em>0. 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.</em><em> </em><em>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. </em><em></em></p>2021-05-21T00:00:00+00:00Copyright (c) 2021 Muhammad Shaifun, Sri Yantihttp://ejurnal.univbatam.ac.id/index.php/Manajerial/article/view/625DETERMINATION OF RESPONSIBILITIES OF WORK, EFFECTIVENESS, WORK FACILITIES WITH THE MOTIVATION OF WORK AS VARIABLES MEDIATOR ON THE ORGANIZATIONAL COMMITMENT OF DISTRICT OFFICERS BEHIND PADANG2021-05-21T10:45:24+00:00Muhammad Yogi Arief Kurniawanzonamanajemen@univbatam.ac.idIndrayani Indrayaniindrayani@univbatam.ac.id<em>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</em>2021-05-21T00:00:00+00:00Copyright (c) 2021 Muhammad Yogi Arief Kurniawan, Indrayani Indrayanihttp://ejurnal.univbatam.ac.id/index.php/Manajerial/article/view/626DETERMINATION OF COMPENSATION, COMPETENCY AND EDUCATION WITH JOB SATISFACTION AS A VARIABLE OF MEDIATOR ON THE PERFORMANCE OF PERSONNEL MANAGEMENT AGENCY FINANCIAL AND REGIONAL ASSETS KARIMUN DISTRICT2021-05-21T10:45:24+00:00Muhammad Yuri Khiswandizonamanajemen@univbatam.ac.idMohamad Gita Indrawanm.gitaindrawan@univbatam.ac.id<p><em>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 compensation, competence, education, 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.</em><em> </em><em>The effect of the X3 variable against the X4 has a P-Values value of 0.021 < 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 0.009 > 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 0.037 > 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 0.005 < 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 0.035 > 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 0.032 < 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.Â Â Â Â Â </em></p>2021-05-21T00:00:00+00:00Copyright (c) 2021 Muhammad Yuri Khiswandi, Mohamad Gita Indrawanhttp://ejurnal.univbatam.ac.id/index.php/Manajerial/article/view/627DETERMINATION OF CAREER DEVELOPMENT, WORK DISCIPLINE AND HUMAN COMPETENCE COMPETENCY WITH WORK SATISFACTION AS A VARIABLE INTERVENING TO EMPLOYEE PERFORMANCE PUBLIC WORKS OFFICE AND SPATIAL ARRANGEMENT KARIMUN DISTRICT2021-05-21T10:45:25+00:00Neri Maiyusanzonamanajemen@univbatam.ac.idI Wayan Catrayasaiwayancatrayasa@univbatam.ac.id<em>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 99. 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 discipline, HR competence, 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 0.032 < 0.05, so it can be stated that the effect between X3 against X4 is significant. The effect of the variable X3 against Y has a P-Values value of 0.000 < 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 0.011 < 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 0.006 < 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 0.033 < 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.</em>2021-05-21T00:00:00+00:00Copyright (c) 2021 Neri Maiyusan, I Wayan Catrayasahttp://ejurnal.univbatam.ac.id/index.php/Manajerial/article/view/628DETERMINATION OF ORGANIZATIONAL CULTURE, COMPETENCE, WORKING ENVIRONMENT WITH JOB SATISFACTION AS A VARIABLE OF MEDIATOR ON THE PERFORMANCE OF HOSPITAL EMPLOYEES THE RIAU ISLANDS PROVINCE2021-05-21T10:45:25+00:00Pathurahman Pathurahmanzonamanajemen@univbatam.ac.idAdnan Suhardisadnan@univbatam.ac.id<p><em>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 200. 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.</em><em> </em><em>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 0.002 < 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 0.000 < 0.05, so it can be stated that the effect of the X2 against Y is significant.</em></p>2021-05-21T00:00:00+00:00Copyright (c) 2021 Pathurahman Pathurahman, Adnan Suhardis