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All Journal Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Batam Jurnal Cafetaria IICS
Muhammad Tommy Arby Rumengan
Department Of Management, Faculty Of Economics, Batam University, Indonesia.Department Of Chemistry, Faculty Of Mathematics And Natural Sciences Andalas University, Indonesia.
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

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DETERMINATION OF ORGANIZATIONAL CULTURE, WORK DISCIPLINE, AND MOTIVATION WORK WITH THE WORK SATISFACTION OF THE VARIABLE MEDIATOR TO THE PERFORMANCE THE EDUCATION EMPLOYEE CITY OF TANJUNG PINANG Ria Nurmalia; Muhammad Tommy Arby Rumengan
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 3 (2020): Volume 10, Nomor 03, Desember 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i3.580

Abstract

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 organizational culture, work discipline, work motivation, 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 0.024 < 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 0.009 < 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 0.023 < 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 0.007 < 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 0.028 < 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 0.007 < 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 0.010 < 0.05, so it can be stated that the effect of the X2 against Y is significant.
DETERMINATION OF ORGANIZATIONAL TRUST, ORGANIZATIONAL CULTURE, ORGANIZATIONAL CLIMATE WITH JOB SATISFACTION ASINTERVENING VARIABLES ON COMMITMENTS ORGANIZATION USING SEM-PLS (EMPLOYEE RESEARCH STUDY IN ORGANICS PERSERO STATE SAVING BANK) Andre Leonard Sembiring; Jemmy Rumengan; Angelina Eleonora Rumengan; Tommy Arby Rumengan
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.v11i1.776

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 107. The discussion in this chapter is the result of field studies to obtain questionnaire answer data that measures the five main variables in this study, namely organizational trust, organizational culture, organizational climate, job satisfaction and organizational commitment. 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 0.024 <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 0.000> <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 0.005 <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 0.017 <0.05, so it can be stated that between X1 against X4 is significant. The effect of variable X1 on Y has a P-Values value of 0.022 <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 influence of the X2 variable on Y has a P-Values value of 0.031 <0.05, so it can be stated that the effect of X2 on Y is significant.
DETERMINATION OF WORK COMMUNICATION, WORK SPIRIT, WORK ETHOS WITH WORK MOTIVATION AS INTERVENING VARIABLES TOWARDS PERFORMANCE USING SEM-PLS IN THE DINAS KESEHATAN KOTA BATAM Fitri Astriani; Jemmy Rumengan; Angelina Eleonora Rumengan; Tommy Arby Rumengan
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.v11i1.783

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 102. 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 work communication, work morale, work ethic, work motivation 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 0.010 <0.05, so it can be stated that the effect of X3 on X4 is significant. The influence variable X3 on Y with a P-Values value of 0.003 <0.05, so it can be stated that the influence between X3 on Y is significant. The effect of the variable X4 on Y with a P-Values value of 0.046 <0.05, so it can be stated that the effect of X4 on Y is significant. The influence variable X1 on X4 has a P-Values value of 0.009 <0.05, so it can be stated that the influence between X1 and 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 0.040 <0.05, so it can be stated that the effect of X2 on X4 is significant. The variable of the influence of X2 on Y with a P-Values value of 0.009 <0.05, so it can be stated that the effect of X2 on Y is significant.
The Influence of Transformational Leadership, Organizational Culture, Work Environment, Organizational Commitment on Job Satisfaction of Batam University employees Tommy Rumengan; Jemmy Rumengan; Dahlan Gunawan
IAIC International Conference Series Vol. 3 No. 2 (2021): ICEMS 2021
Publisher : IAIC Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/conferenceseries.v3i2.460

Abstract

This study, researchers used respondent data, such as gender, age and duration of work of respondents to be able to provide information about the characteristics of respondents. The study population was employees at Batam University, which consisted of dozens and employees. The sample is determined by the number of sample members (sample size) of 60 people by proportional random sampling technique. 25 lecturers and 35 Batam university employees. This research is the result of a field study to obtain questionnaire answer data that measures five main variables in this study, namely Transformational Leadership, Organizational Culture, Work Environment, Organizational Commitment to Job Satisfaction of Batam University employees. The instrument was developed based on theoretical studies, then defined in conceptual definitions, operational definitions, and developed through lattice instruments and technical techniques. Knitted data analysis uses descriptive statistics and statistical analysis to test the significance of path coefficients, descriptive statistics to present data in the form of frequency distribution tables, histograms, and the number of statistics such as media, modes, averages, variants, and foreign standards. exchange. Statistical tests are used to test the significance of path coefficients using Partial Least Square (PLS) which is a Multivariate Analysis in the second generation using structural equation modeling (SEM). PLS can be used for a small number of samples, and of course with a large number of samples will be better able to improve the accuracy of estimates. PLS does not require the assumption that data distribution must be normal or not. The construct form can use a reflective or formative model in which from the results of statistical analysis, the relationship between variables formulated in the formulation of a problem as many as 7 pieces obtained significant results.
PENGARUH KUALITAS PRODUK, PERSEPSI HARGA, DAN PROMOSI MEREK TERHADAP MINAT BELI KONSUMEN AQUA DI BATAM Andi M. Lutfi; Adnan Suhardis; Sri Yanti; M. Tommy Rumengan
JURNAL CAFETARIA Vol 3 No 2 (2022): JURNAL CAFETARIA
Publisher : Program Studi Akuntansi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51742/akuntansi.v3i2.628

Abstract

The purpose of this study was to determine and analyze the effect of Product Quality (X1), Price Perception (X2) and Brand Promotion (X3) against Consumer Buying Interest (Y) in Batam. The research method used is quantitative methods and the data analysis method used is multiple linear regression analysis using the help of SPSS 25.0 program. The population in this study were Aqua’s customer in Batam. By using the Slovin formula we obtained a sample of 100 consumers. The results of testing the hypothesis show that Product Quality has a significant effect on Consumer Buying Interest, Price Perception has a significant effect on Consumer Buying Interest and Brand Promotion has a significant effect on Consumer Buying Interest. Based on the multiple linear regression statistical test, the coefficient of determination (R2) is 0.290, meaning that 29% of the variables of Product Quality, Price Perception, and Brand Promotion affect Consumer Buying Interest.
Co-Authors Adnan Suhardis Andi M. Lutfi Andre Leonard Sembiring Dahlan Gunawan Elly Rumengan Fitri Astriani Jemmy Rumengan Jemmy Rumengan Ria Nurmalia Sri Yanti