Article Per Year (5 Year)
p-Index From 2020 - 2025
0.702
P-Index
This Author published in this journals
All Journal Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Batam
Adnan Suhardis
Faculty of Economics, University of Batam
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
DETERMINATION OF SELF EFFICACY, WORKING ETHOS, WORKING DISCIPLINE WITH ORGANIZATIONAL CITIZENSHIP BEHAVIOR AS INTERVENING VARIABLES ON WORK ACHIEVEMENT WITH USING SEM-PLS (RESEARCH STUDY PERSONNEL DITPOLAIRUD POLDA KEPRI) Abdul Rahman; Jemmy Rumengan; Angelina Eleonora Rumengan; Adnan Suhardis
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 11 No 1 (2021): Volume 11, Nomor 01, April 2021
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v11i1.774

Abstract

In this study, researchers used respondent data, such as gender, age and length of work of respondents in order to provide information about relationships. Where from the questionnaires distributed as many as 75. The discussion in this chapter is the result of field studies to obtain questionnaire answer data which measures the five main variables in this study, namely self-efficacy, work ethic, work discipline, organizational citizen behavior and work performance. Data analysis with parametric and non-parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, instrument tests, normality tests, hypothesis testing, and discussion of the results of hypothesis testing and Path Analysis Path. This study uses path analysis (path analysis) to examine relationship patterns that reveal the effect of a variable or a set of other variables, both direct and indirect. The calculation of the path coefficient in this study was assisted by Smart PLS Ver 3.0. To have a direct and indirect effect between variables, the calculation results of the path coefficient and to see the significance. The influence of the X3 variable on X4 has a P-Values value of 0.043 <0.05, so it can be stated that the effect of X3 on X4 is significant. The influence of the X3 variable on Y has a P-Values value of 0.033 <0.05, so it can be stated that the effect of X3 on Y is significant. The effect of the variable X4 on Y has a P-Values value of 0.013 <0.05, so it can be stated that the effect of X4 on Y is significant. The effect of variable X1 on X4 has a P-Values value of 0.003 <0.05, so it can be stated that the effect of X1 on X4 is significant. The effect of the variable X1 on Y has a P-Values value of 0.010 <0.05, so it can be stated that the effect of X1 on Y is significant. The effect of variable X2 on X4 has a P-Values value of 0.003 <0.05, so it can be stated that the effect of X2 on X4 is significant.The effect of variable X2 on Y has a P-Values value of 0.033 <0.05, so it can be stated that the between X2 and Y is significant.
DETERMINATION OF WORK CHARATERISTICS, LOCUS OF CONTROL, REWARD WITH WORK ACHIEVEMENT AS INTERVENING VARIABLES ON PERFORMANCE WITHUSING SEM-PLS (STUDY EMPLOYEE RESEARCH IN BINTAN DISTRICT HEALTH OFFICE Aditya Wirandha; Jemmy Rumengan; Angelina Eleonora Rumengan; Adnan Suhardis
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 11 No 1 (2021): Volume 11, Nomor 01, April 2021
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v11i1.775

Abstract

            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. Where from the questionnaires distributed as many as 41. The discussion in this chapter is the result of field studies to obtain questionnaire answer data that measures five main variables in this study, namely job characteristics, locus of control, reward, work performance and performance. Data analysis with parametric and non-parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, instrument testing, normality test, hypothesis testing, and discussion of the results of hypothesis testing and Path Analysis Path. This study uses path analysis to examine patterns of relationships that reveal the effect of a variable or set of variables on other variables, both direct and indirect. The calculation of the path coefficient in this study was assisted by Smart PLS Ver 3.0. To determine the direct and indirect effect between variables, it is seen from the calculation of the path coefficient and to determine the significance.            The effect of the variable X3 on X4 has a P-Values value of 0.000 <0.05, so it can be stated that the effect of X3 on X4 is significant. The influence of the X3 variable on Y has a P-Values value of 0.012 <0.05, so it can be stated that the effect of X3 on Y is significant. The effect of variable X4 on Y has a P-Values value of 0.033 <0.05, so it can be stated that the effect between X4 and Y is significant. The effect of variable X1 on X4 has a P-Values value of 0.043 <0.05, so it can be stated that the effect of X1 on X4 is significant. The effect of variable X1 on Y has a P-Values value of 0.014 <0.05, so it can be stated that the effect of X1 on Y is significant. The effect of the variable X2 on X4 has a P-Values value of 0.021 <0.05, so it can be stated that the effect of X2 on X4 is significant. The influence of the X2 variable on Y has a P-Values value of 0.021 <0.05, so it can be stated that the effect of X2 on Y is significant
DETERMINATION OF WORK ETHICS, WORK DISCIPLINE, WORK EXPENSE WITH JOB SATISFACTION AS INTERVENING VARIABLES ON PERFORMANCE USING SEM-PLS (EMPLOYEE RESEARCH STUDY IN THE COMMUNICATION AND INFORMATICS DEPARTMENT RIAU ISLANDS) Apri saut; Yunazar Manjang; Adnan Suhardis
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 11 No 1 (2021): Volume 11, Nomor 01, April 2021
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v11i1.777

Abstract

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. Where from the questionnaires distributed as many as 48. The discussion in this chapter is the result of field studies to obtain questionnaire answer data which measures the five main variables in this study, namely work ethic, work discipline, workload, job satisfaction and performance. Data analysis with parametric and non-parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, instrument testing, normality test, hypothesis testing, and discussion of the results of hypothesis testing and Path Analysis Path. This study uses path analysis to examine patterns of relationships that reveal the effect of a variable or set of variables on other variables, both direct and indirect. The calculation of the path coefficient in this study was assisted by Smart PLS Ver 3.0. To determine the direct and indirect effect between variables, it is seen from the calculation of the path coefficient and to determine the significance.            The influence of the X3 variable on X4 has a P-Values value of 0.002 <0.05, so it can be stated that the effect of X3 on X4 is significant. The influence of the X3 variable on Y has a P-Values value of 0.008 <0.05, so it can be stated that the effect of X3 on Y is significant. The influence of the variable X4 on Y has a P-Values value of 0.011 <0.05, so it can be stated that the effect of X4 on Y is significant. The effect of variable X1 on X4 has a P-Values value of 0.024 <0.05, so it can be stated that the effect of X1 on X4 is significant. The effect of the variable X1 on Y has a P-Values value of 0.044 <0.05, so it can be stated that the effect of X1 on Y is significant. The effect of the variable X2 on X4 has a P-Values value of 0.011 <0.05, so it can be stated that the effect of X2 on X4 is significant. The influence of the X2 variable on Y has a P-Values value of 0.005 <0.05, so it can be stated that the effect of X2 on Y is significant.
DETERMINATION OF TRANSFORMATIONAL LEADERSHIP , ORGANIZATIONAL CULTURE, ACHIEVEMENT MOTIVATION WITH ORGANIZATIONAL CITIZENSHIP BEHAVIOR AS INTERVENING VARIABLES ON PERFORMANCE USING ALL-PLS (EMPLOYEE RESEARCH STUDY IN PT. THE COMMUNITY BANK INDONESIA PINANG TANJUNG PINANG KENCANA BRANCH, UNIT) Ebjed Ebjed; Jemmy Rumengan; Angelina Eleonora Rumengan; Adnan Suhardis
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 11 No 1 (2021): Volume 11, Nomor 01, April 2021
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v11i1.782

Abstract

In this study, researchers used respondent data, such as gender, age and length of work of respondents in order to provide information about relationships. Where from the questionnaires distributed as many as 30. The discussion in this chapter is the result of field studies to obtain questionnaire answer data that measures five main variables in this study, namely transformational leadership, organizational culture, achievement motivation, organizational citizen behavior and performance. Data analysis with parametric and non-parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, instrument tests, normality tests, hypothesis testing, and discussion of the results of hypothesis testing and Path Analysis Path. This study uses path analysis (path analysis) to examine relationship patterns that reveal the effect of a variable or a set of other variables, both direct and indirect. The calculation of the path coefficient in this study was assisted by Smart PLS Ver 3.0. To have a direct and indirect effect between variables, the calculation results of the path coefficient and to see the significance.            The influence of the X3 variable on X4 has a P-Values value of 0.046 <0.05, so it can be stated that the effect of X3 on X4 is significant. The influence of the X3 variable on Y with a P-Values value of 0.005 <0.05, so it can be stated that the effect of X3 on Y is significant. The effect of the variable X4 on Y with a P-Values value of 0.010 <0.05, so it can be stated that the effect of X4 on Y is significant. The effect of variable X1 on X4 has a P-Values value of 0.045 <0.05, so it can be stated that the effect of X1 on X4 is significant. The effect of the variable X1 on Y with a P-Values value of 0.000 <0.05, so it can be stated that the effect of X1 on Y is significant. The effect of the variable X2 on X4 has a P-Values value of 0.000 <0.05, so it can be stated that the effect of X2 on X4 is significant. The effect of the variable X2 on Y with a P-Values value of 0.022 <0.05, so it can be stated that the effect of X2 on Y is significant
Co-Authors Abdul Rahman Aditya Wirandha Apri saut Ebjed Ebjed Jemmy Rumengan Rumengan, Angelina Eleonora Yunazar Manjang