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All Journal Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET)
Nozariyanti, Reny
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DETERMINATION OF COMPETENCE, EDUCATION AND SELF EFFICACY WITH WORK SPIRIT AS A MEDIATOR VARIABLE ON EMPLOYEE PERFORMANCE TAX MANAGEMENT AGENCY AND RETREBUTION FOR THE CITY OF BATAM Rahmasari, Ayu; Indrayani, Indrayani; Nozariyanti, Reny; Rila, Rajesh; Khaddafi, Muammar
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 1 No. 3 (2022): FEBRUARY
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v1i3.19

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 competence, education, self efficacy, work spirit 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 influence of the variable X3 on X4 has a P-Values value of 0.008 <0.05, so it can be stated that the influence between X3 on X4 is significant. The influence of the variable X3 on X4 has a P-Values value of 0,000 <0.05, so it can be stated that the influence between X3 on X4 is significant. The influence of the variable X4 on Y has a P-Values value of 0.008 <0.05, so it can be stated that the influence between X4 on Y is significant. The influence of the variable X1 to 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 effect of the variable X1 on Y has a P-Values value of 0.047 <0.05, so it can be stated that the effect between X1 on Y is significant. The influence of the variable X2 on X4 has a P-Values value of 0,000 <0.05, so it can be stated that the influence of X2 on X4 is significant. The effect of the variable X2 on Y has a P-Values value of 0.007 <0.05, so it can be stated that the influence between X2 on Y is significant.
DETERMINATION OF TRANSFORMATIONAL LEADERSHIP, EDUCATION AND WORK DISCIPLINE WITH WORK SPIRIT AS A MEDIATOR VARIABLE ON EMPLOYEE PERFORMANCE TAX MANAGEMENT AGENCY AND RETREBUTION FOR THE CITY OF BATAM Rila, Rajesh; Nozariyanti, Reny; Rahmasari, Ayu
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 1 No. 11 (2022): OCTOBER
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v1i11.62

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 52. 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 transformational leadership, education, work discipline, work spirit 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 0.032 < 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 0.003 < 0.05, so it can be stated that the influence between X3 to Y is significant. The effect of the variable X3 against Y has a P-Values value of 0.003 < 0.05, so it can be stated that the influence between X3 to Y is significant. The effect of the variable X3 against Y has a P-Values value of 0.003 < 0.05, so it can be stated that the influence between X3 to Y is significant. The effect of a X1 variable against Y has a P-Values value of 0.006 < 0.05, so it can be stated that the effect between X1 to Y is significant. The effect of a X1 variable against Y has a P-Values value of 0.006 < 0.05, so it can be stated that the effect between X1 to Y is significant. The effect of a variable X2 against Y has a P-Values value of 0.011 < 0.05, so it can be stated that the effect of the X2 against Y is significant
DETERMINATION OF RESPONSIBILITIES, WORK FACILITIES AND WORK DISCIPLINE WITH WORK MOTIVATION AS A MEDIATOR VARIABLE ON EMPLOYEE PERFORMANCE TAX MANAGEMENT AGENCY AND RETREBUTION FOR THE CITY OF BATAM Nozariyanti, Reny; Indrayani , Indrayani; Khaddafi, Muammar; Rahmasari, Ayu; Rila, Rajesh
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 2 No. 1 (2022): April (April-June)
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v2i1.214

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 48. 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 responsibility, work facilities, work discipline, work motivation 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 influence of the variable X3 on X4 has a P-Values value of 0,000 <0.05, so it can be stated that the influence between X3 on X4 is significant. The effect of the X3 variable on Y has a P-Values value of 0,005 <0.05, so it can be stated that the effect between X3 on Y is significant. The influence of the variable X4 on Y has a P-Values value of 0.008 <0.05, so it can be stated that the influence between X4 on Y is significant. The influence of variable X1 to X4 has a P-Values value of 0.039 <0.05, so it can be stated that the influence between X1 to X4 is significant. The effect of the variable X1 on Y has a P-Values value of 0.017 <0.05, so it can be stated that the effect between X1 on Y is significant. The influence of variable X2 on X4 has a P-Values value of 0.006 <0.05, so it can be stated that the influence of X2 on X4 is significant. The influence of the variable X2 on Y has a P-Values value of 0.008 <0.05, so it can be stated that the influence between X2 on Y is significant.
Co-Authors Indrayani , Indrayani INDRAYANI INDRAYANI Muammar Khaddafi Rahmasari, Ayu Rila, Rajesh