Zona Manajerial: Program Studi Manajemen (S1) Universitas Batam
http://ejurnal.univbatam.ac.id/index.php/Manajerial
<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>Universitas Batamen-USZona Manajerial: Program Studi Manajemen (S1) Universitas Batam2087-7331<p>Manuskrip yang diserahkan penulis haruslah sebuah karya yang tidak melanggar hak cipta (copyright) yang ada. Naskah yang dimasukkan harus yang belum pernah diterbitkan dan tidak dikirimkan pada waktu yang bersamaan kepada penerbit lain. Hak cipta atas semua material termasuk yang berbentuk cetak, elektronik dan bentuk lainnya dipegang oleh Jurnal Akuntansi. Setelah manuskrip telah melewati proses penyuntingan substansi dan positif diterima, penulis mengirimkan berkas Pernyataan Hak Cipta b ke alamat redaksi Jurnal Zona Manejerial.</p>DETERMINATION OF COMPETENCE, EDUCATION, SELF EFFICACY WITH THE SPIRIT OF WORK AS VARIABLE INTERVENING AGAINST EMPLOYEE PERFORMANCE TANJUNG PINANG CITY EDUCATION OFFICE
http://ejurnal.univbatam.ac.id/index.php/Manajerial/article/view/606
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.Marsha FajaryaniJemmy Rumengan
Copyright (c) 2021 Marsha Fajaryani, Jemmy Rumengan
2021-05-212021-05-2110211410.37776/zm.v10i2.606DETERMINATION OF COMPETENCE, EDUCATION, SELF EFFICACY WITH THE SPIRIT OF WORK AS VARIABLE INTERVENING AGAINST EMPLOYEE PERFORMANCE TANJUNG PINANG CITY EDUCATION OFFICE
http://ejurnal.univbatam.ac.id/index.php/Manajerial/article/view/621
<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>Marsha FajaryaniJemmy Rumengan
Copyright (c) 2021 Marsha Fajaryani, Jemmy Rumengan
2021-05-212021-05-2110211410.37776/zm.v10i2.621DETERMINATION 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
http://ejurnal.univbatam.ac.id/index.php/Manajerial/article/view/622
<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>Mira SantikaAngelina Eleonora Rumengan
Copyright (c) 2021 Mira Santika, Angelina Eleonora Rumengan
2021-05-212021-05-21102152610.37776/zm.v10i2.622DETERMINATION 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
http://ejurnal.univbatam.ac.id/index.php/Manajerial/article/view/623
<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>Muhammad RapiElli Widia
Copyright (c) 2021 Muhammad Rapi, Elli Widia
2021-05-212021-05-21102274110.37776/zm.v10i2.623DETERMINATION 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
http://ejurnal.univbatam.ac.id/index.php/Manajerial/article/view/624
<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>Muhammad ShaifunSri Yanti
Copyright (c) 2021 Muhammad Shaifun, Sri Yanti
2021-05-212021-05-21102425410.37776/zm.v10i2.624DETERMINATION OF RESPONSIBILITIES OF WORK, EFFECTIVENESS, WORK FACILITIES WITH THE MOTIVATION OF WORK AS VARIABLES MEDIATOR ON THE ORGANIZATIONAL COMMITMENT OF DISTRICT OFFICERS BEHIND PADANG
http://ejurnal.univbatam.ac.id/index.php/Manajerial/article/view/625
<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>Muhammad Yogi Arief KurniawanIndrayani Indrayani
Copyright (c) 2021 Muhammad Yogi Arief Kurniawan, Indrayani Indrayani
2021-05-212021-05-21102556810.37776/zm.v10i2.625DETERMINATION 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 DISTRICT
http://ejurnal.univbatam.ac.id/index.php/Manajerial/article/view/626
<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>Muhammad Yuri KhiswandiMohamad Gita Indrawan
Copyright (c) 2021 Muhammad Yuri Khiswandi, Mohamad Gita Indrawan
2021-05-212021-05-21102698210.37776/zm.v10i2.626DETERMINATION 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 DISTRICT
http://ejurnal.univbatam.ac.id/index.php/Manajerial/article/view/627
<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>Neri MaiyusanI Wayan Catrayasa
Copyright (c) 2021 Neri Maiyusan, I Wayan Catrayasa
2021-05-212021-05-21102839510.37776/zm.v10i2.627DETERMINATION OF ORGANIZATIONAL CULTURE, COMPETENCE, WORKING ENVIRONMENT WITH JOB SATISFACTION AS A VARIABLE OF MEDIATOR ON THE PERFORMANCE OF HOSPITAL EMPLOYEES THE RIAU ISLANDS PROVINCE
http://ejurnal.univbatam.ac.id/index.php/Manajerial/article/view/628
<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>Pathurahman PathurahmanAdnan Suhardis
Copyright (c) 2021 Pathurahman Pathurahman, Adnan Suhardis
2021-05-212021-05-211029610910.37776/zm.v10i2.628