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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.
OPTIMIZING THE FINANCIAL DECISIONS OF FEMALE WORKERS IN LABOR-INTENSIVE INDUSTRIES: AN INTERVENTION BASED ON FRAMING EFFECTS AND MENTAL ACCOUNTING IN PENSION FUND PROGRAMS Mercy Reyne Marlina; Elly Rumengan; Basri; Faris Ramadhan; Etty Sri Wahyuni
International Journal of Educational Review, Law And Social Sciences (IJERLAS) Vol. 5 No. 6 (2025)
Publisher : CV. RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijerlas.v5i5.3739

Abstract

Female workers in the manufacturing sector in Batam City often face challenges in financial planning, particularly regarding pension funds. Lack of knowledge and information about the importance of pension funds, coupled with limited awareness campaigns, result in many workers not participating in pension programs. Additionally, a work culture focused on short-term targets often leads female workers in this sector to view long-term financial planning, such as retirement, as less important. This study aims to investigate and analyze the partial and simultaneous effects of framing effect, mental accounting, and financial decisions on the effectiveness of pension funds among female workers in manufacturing companies in Batam City. This study employs causal associative research, and the research method used is quantitative. The population in this study consists of all female workers in manufacturing companies in Batam City, whose exact number is unknown. Four manufacturing companies were randomly selected, and 50 respondents were selected from each company. The sampling method used non-probability sampling with purposive sampling techniques, with several criteria including women aged 40-50 years with a minimum of 1 year of work experience and companies employing more than 250 workers. The sample size for this study was 200 respondents. The data were analyzed using SPSS version 25. The results of the study indicate that the framing effect partially influences the effectiveness of pension funds, mental accounting partially influences the effectiveness of pension funds, financial decisions partially influence the effectiveness of pension funds, and the framing effect, mental accounting, and financial decisions simultaneously influence the effectiveness of pension funds. The adjusted R-squared value of 0.728 can be referred to as the coefficient of determination, This means that 0.741 (74.1%) of the effectiveness of pension funds can be obtained and explained by the framing effect, mental accounting, and financial decisions, while the remaining 25.3% (100% - 74.1% = 25.3%) is explained by variables outside the model that were not studied.