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DETERMINATION OF CAREER DEVELOPMENT, COMPETENCE, WORK MOTIVATION WITH WORK SATISFACTION AS INTERVENING VARIABLES ON PERFORMANCE OF VTS SEA MINISTRY OF THE VTS (VASSEL TRAFFIC SYSTEM) BATAM CENTER Silvia, Silvia; Rumengan, Jemmy; Rumengan, Angelina Eleonora
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.v9i2.257

Abstract

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 40 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 0.009 <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 0.021> 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 0.008> 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 0.033 <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 0.011 <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 0.012 <0.05, so it can be stated that the effect between X2 on Y is significant.
TRANSFORMATIONAL LEADERSHIP DETERMINATION, COMPENSATION, ORGANIZATIONAL CLIMATE WITH WORK SATISFACTION AS INTERVENING VARIABLES TO EMPLOYEE PERFORMANCE TAX MANAGEMENT AGENCY AND REGIONAL VOCATIONAL ASSOCIATION Pratama, Whendy Septian; Rumengan, Jemmy; Rumengan, Angelina Eleonora
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.v9i2.262

Abstract

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) 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 0,000> 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 0.040> 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 0.047 <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 0.045> 0.05, so it can be stated that the influence between X1 and Y is significant. The effect of X2 on X4 has a P-Values value of 0.006 <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.
COMMUNICATION DETERMINATION, EMPLOYEE DEVELOPMENT ANDORGANIZATIONAL CULTURE WITH WORK MOTIVATION AS INTERVENING VARIABLES AGAINST ORGANIZATIONAL COMMITMENTS OF DINAS HEALTH EMPLOYEES ARCHIPELAGO RIAU PROVINCE Rahman, Siti; Rumengan, Jemmy; Rumengan, Angelina Eleonora
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.v9i2.258

Abstract

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. 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 0,000> 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 0.044> 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 0.005 <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 X2 on Y has a P-Values value of 0.006 <0.05, so it can be stated that the effect between X2 on Y is significant.
Application E-Learning Based on Cloud Computing at the Faculty of Engineering, Batam University John Friadi; Elly Rumengan; Dodi Putra Yani
Eduvest - Journal of Universal Studies Vol. 2 No. 7 (2022): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2324.915 KB) | DOI: 10.59188/eduvest.v2i7.517

Abstract

The development of information technology and the increasingly widespread use of the internet has changed the learning process in higher education, especially during the COVID-19 pandemic, many higher education are conducting distance learning processes by implementing cloud computing-based e-learning. This is also in line with the government's recommendation that we apply health protocols to break the chain of the Covid-19 virus, such as studying and working from home. Batam University, in this case, the engineering faculty, includes those implementing cloud computing-based e-learning for distance learning The purpose of this research is to see how far the implementation of e-learning based on cloud computing according to users, in this case, are lecturers and students of the engineering faculty of Batam University, knowing the readiness of lecturers and students towards the process and products of e-learning itself and satisfaction from the lecturers and students. at the University of Batam at the engineering faculty during the e-learning implementation process. This research method uses a combination of quantitative and qualitative descriptive methods by distributing questionnaires to lecturers and students in the university environment at the engineering faculty which consists of 4 (four) study programs namely mechanical engineering, electrical engineering, civil engineering, and information systems After processing the data using the validity test, reliability test and qualitative analysis, it was obtained that the lecturer respondents agreed with the implementation of cloud computing-based e-learning by 41%, with an average Respondent Achievement Level (TCR) of lecturers of 81.82% in good category. Student respondents' answers strongly agree with the implementation of e-learning based on cloud computing of 44 with an average Student Achievement Level of Respondents (TCR) of 80.47% in good category.