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All Journal MIZAN, Jurnal Ilmu Hukum Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Batam Inobis: Jurnal Inovasi Bisnis dan Manajemen Indonesia IICS

Jemmy Rumengan

Department Of Management Faculty Of Economics, Batam University, Indonesia

Author-ID : 3306394

Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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LEADERSHIP DETERMINATION, TEAM COOPERATION AND WORK DISCIPLINE WITH ORGANIZATIONAL COMMITMENTS AS INTERVENING VARIABLES ON PERFORMANCE OF EMPLOYEE BUREAU AND PROTOCOL OF SECRETARIAT OF PROVINCE OF PRIVATE VOCATIONAL SCHOOL Yova Apriazir Apriazir; Jemmy Rumengan; Angelina Eleonora Rumengan
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 7 No 2 (2017): AGUSTUS
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 80 respondents using census techniques. Data analysis with parametric and non-parametric statistics using SEM-PLS ( Structural Equation Modeling-Partial Least Square) concerning 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 0.008 <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 0.002> 0.05, so it can be stated that the influence between X3 and Y is significant. The effect of the X4 variable on Y has a P-Values value of 0.005> 0.05, so it can be stated that the effect between X4 on Y is significant. The influence of X1 on X4 has a P-Values value of 0.009 <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 0.021> 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 0,000 <0,05, so it can be stated that the effect between X2 on X4 is significant. The effect of the X2 variable on Y has a P-Values value of 0.008 <0.05, so it can be stated that the effect between X2 on Y is significant.

DETERMINATION OF POSITION PROMOTION, WORK CULTURE AND WORK FACILITIES WITH WORK SATISFACTION AS INTERVENING VARIABLES ON COMMITMENT EMPLOYEE AGENCY ORGANIZATION OF THE FRANCE, RESEARCH AND DEVELOPMENT RIAU ISLANDS PROVINCE Zulkarnaen Adijaya; Jemmy Rumengan; Angelina Eleonora Rumengan
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9 No 3 (2019): DESEMBER
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 90 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 X3 on X4 has a P-Values value of 0.086 <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 0.006> 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 0.036> 0.05, so it can be stated that the influence between X4 on Y is significant. The effect of X1 on X4 has a P-Values value of 0.015 <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 0.012> 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 0,000 <0,05, so it can be stated that the effect between X2 on X4 is significant. The effect of X2 on Y has a P-Values value of 0.009 <0.05, so it can be stated that the effect between X2 on Y is significant

DETERMINATION OF LEADERSHIP, WORK DISCIPLINE AND WORK ABILITY WITH ORGANIZATIONAL COMMITMENT AS AN INTERVENING VARIABLE ON THE PERFORMANCE OF THE PERSONNEL OF SATLANTAS KARIMUN REGIONAL POLICE USING PARTIAL LEAST SQUARE (PLS) T.Fazrial Kenedy; Jemmy Rumengan; Yunazar Manjang
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9 No 3 (2019): DESEMBER
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 0.006 <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 0.006> 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 0.014> 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 0.039 <0.00, 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 0.022> 0.06, so it can be stated that the influence between X1 on Y is significant. The effect of X2 on X4 has a P-Values value of 0.003 <0.42, so it can be stated that the influence between X2 to X4 is significant. The effect of the X2 variable on Y has a P-Values value of 0.008 <0.18, so it can be stated that the effect between X2 on Y is significant.

DETERMINATION OF LOCUS OF CONTROL, SELF EFFICACY AND DISCIPLINE OF WORK WITH WORK SATISFACTION AS INTERVENING VARIABLES ON WORK MOTIVATION EMPLOYEE SERVICE OF THE ISLANDS PROVINCE HEALTH RIAU Maimunah Maimunah; Jemmy Rumengan; Yunazar Manjang
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9 No 3 (2019): DESEMBER
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 questionnaire distributed as many as 70 respondents using census techniques. This research is the result of a field study to obtain an answer data questionnaire that measures five main variables in this study, namely locus of control, self efficacy, work discipline, job satisfaction and employee motivation. 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 0.038 <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 0.005> 0.05, so it can be stated that the effect between X4 on Y is significant. The influence of X1 on X4 has a P-Values value of 0.009 <0.05, so it can be stated that the influence between X1 to X4 is significant. The effect of X1 on Y has a P-Values value of 0.005> 0.05, so it can be stated that the influence between X1 on Y is significant. The effect of the X2 variable on X4 has a P-Values value of 0.001 <0.05, so it can be stated that the effect between X2 on X4 is significant. The effect of X2 on Y has a P-Values value of 0.009 <0.05, so it can be stated that the effect between X2 on Y is significant.

LEADERSHIP DETERMINATION, COMPETENCE AND TRAINING WITH WORK MOTIVATION AS INTERVENING VARIABLES ON TEACHER PERFORMANCE OF SMAN 8 BENGKONG SADAI BATAM Mujid Mujid; Jemmy Rumengan; Angelina Eleonora Rumengan
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9 No 3 (2019): DESEMBER
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 90 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 0.006> 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 0.010 <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 0,000 <0,05, so it can be stated that the effect between X2 on X4 is significant. The effect of X2 on Y has a P-Values value of 0.009 <0.05, so it can be stated that the effect between X2 on Y is significant.

WORK RESPONSIBILITY DETERMINATION, WORK AUTONOMY AND WORK SPIRIT WITH WORK MOTIVATION AS INTERVENING VARIABLES TO PERFORMANCE OF PUBLIC BIRO EMPLOYEES REGIONAL SECRETARY OF RIAU ISLANDS PROVINCE Nico Syisnovli Riadi; Jemmy Rumengan; Yunazar Manjang
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9 No 3 (2019): DESEMBER
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 75 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 0.008 <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 0.010> 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 0.045> 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 0.006 <0.05, so it can be stated that the influence between X1 to X4 is significant. The effect of X1 on Y has a P-Values value of 0.006> 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 0.001 <0.05, so it can be stated that the effect between X2 on X4 is significant. The effect of the X2 variable on Y has a P-Values value of 0.008 <0.05, so it can be stated that the effect between X2 on Y is significant.

DETERMINATION OF JOB RELEVANT INFORMATION, WORK MOTIVATION AND ORGANIZATIONAL CULTURE WITH WORK ACHIEVEMENT AS INTERVENING VARIABLES TO PERFORMANCE EMPLOYEE OF FINANCIAL MANAGEMENT AGENCY AND THE ASSETS OF THE ISLANDS PROVINCE Nurafni Dwi Anggaraini; Jemmy Rumengan; Angelina Eleonora Rumengan
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9 No 3 (2019): DESEMBER
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 45 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 0.005 <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 0.047> 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 0.024> 0.05, so it can be stated that the effect of X4 on Y is significant. The effect of X1 on X4 has a P-Values value of 0.038 <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 effect of the X2 variable on Y has a P-Values value of 0.008 <0.05, so it can be stated that the effect between X2 on Y is significant.

EDUCATION AND TRAINING DETERMINATION, JOB CHARACTERISTICS, ORGANIZATIONAL CULTURE WITH WORK SATISFACTION AS INTERVENING VARIABLES TO PERFORMANCE EMPLOYEE DEPARTMENT OF GENERAL JOB, LAND AND ADMINISTRATION OF ARCHIPELAGO PROVINCE SPACES RIAU Ronny Ronny; Jemmy Rumengan; Yunazar Manjang
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9 No 3 (2019): DESEMBER
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 50 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 0.010 <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 0.050> 0.05, so it can be stated that the influence between X4 and Y is significant. The influence of X1 on X4 has a P-Values value of 0.007 <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 0.005 <0.05, so it can be stated that the effect between X2 on X4 is significant. The effect of the X2 variable on Y has a P-Values value of 0.030 <0.05, so it can be stated that the effect between X2 on Y is significant.

DETERMINATION OF EMPLOYEE DEVELOPMENT, COMMUNICATION, WORK ENVIRONMENT, ORGANIZATIONAL COMMITMENTS AS AN INTERVENING VARIABLES ON MOTIVATION OF EMPLOYEES IN GENERAL JOBS AND SPACE MANAGEMENT RIAU ISLANDS PROVINCE Rudi Rudi; Jemmy Rumengan; Bambang Satriawan
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9 No 2 (2019): AGUSTUS
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v9i2.255

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 50 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 0.004 <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 0.018> 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 0.031> 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 0.012 <0.05, so it can be stated that the influence between X1 to X4 is significant. The effect of X1 on Y has a P-Values value of 0.005> 0.05, so it can be stated that the influence between X1 on Y is significant. The effect of the X2 variable on X4 has a P-Values value of 0.035 <0.05, so it can be stated that the effect between X2 on X4 is significant. The effect of X2 on Y has a P-Values value of 0.017 <0.05, so it can be stated that the effect between X2 on Y is significant.

DETERMINATION OF EMOTIONAL INTELLIGENCE, SELF EFFICACY, WORK SPIRIT WITH WORK SATISFACTION AS INTERVENING VARIABLESON WORK ACHIEVEMENTS EMPLOYEE DEPARTMENT OF GENERAL JOB, LAND AND ADMINISTRATION OF RIAU ARCHIPELAGO SPACES Sayed Wahidin; Jemmy Rumengan; Yunazar Manjang
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9 No 2 (2019): AGUSTUS
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v9i2.256

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 50 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 0.047 <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 0.013> 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 0.030> 0.05, so it can be stated that the influence between X4 on Y is significant. The effect of X1 on X4 has a P-Values value of 0.002 <0.05, so it can be stated that the influence between X1 to X4 is significant. The effect of X1 on Y has a P-Values value of 0.008> 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 0.035 <0.05, so it can be stated that the effect between X2 on X4 is significant. The effect of the X2 variable on Y has a P-Values value of 0.004 <0.05, so it can be stated that the effect between X2 on Y is significant.

Co-Authors Adi Adi Adnan Suhardis Adnan Suhardis Adnan Suhardis Alexandermaramis Alexandermaramis Aludin Andi Ana Fahizah Ana Faizah Arief Nurjahjo Arman Syarif Armanunsah Armanunsah Azrizal Azrizal Bambang Satriawan Budi Hartono Chablullah Wibisono Dahlan Gunawan Dewi, Nolla Puspita Didi Kusmarjadi Elly Rumengan Evi Sutiana Henry Aspan Intan Rahmadian M. Faichal Tanjung Maimunah Maimunah Maniah Maniah Mariana Zhuo Muhammad Tommy Arby Rumengan Mujid Mujid Nico Syisnovli Riadi Novia Orientiani Nurafni Dwi Anggaraini Nurhatisyah Nurhatisyah Ronny Ronny Rudi Rudi Rusdin Haluddin Sayed Wahidin Silvia Silvia Siti Rahman Sri y Sri Yanti Sri Yanti Sri Yanti Sri Yanti Suci Suliyana Sukaesih Sukaesih T.Fazrial Kenedy Tri Hardiono Erwin Whendy Septian Pratama Yova Apriazir Apriazir Yunazar Manjang Yunazar Manjang Yunazar Manjang Zulkarnaen Adijaya

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