Several researches have been carried out to predict the intention to pay zakat using the factors introduced by the Theory of Planned Behavior -developed by Ajzen & Fishbein (1980). Meanwhile, an addition of predicting past behavior factor on the intention to pay zakat has not been found in previous researches. The purpose of this research is to analyze the influence of attitude, subjective norms, perceived behavioral control and past behavior towards the intention of traders in the Lhokseumawe city to pay zakat commercial. The revised Theory of Planned Behavior was used in the research. This study aims to predict the intention of zakat payers. A total of 2,432 traders as the population of the research was identified and 150 of them were chosen as respondents determined using the purposive sampling technique. Using multiple linear regression models, it has found that the subjective norms, perceived behavioral control and past behavior partially have positive and significant influence towards the intention to pay zakat commercial. It also finds that past behavior variable has the most dominant impact towards the intention of zakat payers, while attitude has the least impact towards the intention. Finally, there is a simultaneously positive and significant influence towards the intention to pay zakat commercial.

The data used in this research was secondary data as 55 samples with purposive sampling. The method used to analyze the relation between independent variable and dependent variable was multiple linear regression and classical assumption test.The findings of this research identified that simultaneously independent variables Return On Asset, Return On Equity, Net Profit Margin, To Equity Ratio and Current Ratio with F test, effected together to growth income significantly 0.000. While the result partially with T test, Return On Asset, Return On Equity, and Net Profit Margin to growth income with significance and positive of each was 0.029, 0,041 and 0.008. While Debt To Equity Ratio and Current Ratio to growth income with significance and negative of 0.008 and 0,001.Companies must be able to demonstrate a good performance, high growth potential, and delivered company information sufficient to investors about the company.

Purpose-The purpose of this research is to determine the effect of perceived ease, intensity of behavior, and user satisfaction in using the e-filing system, especially in the city of Lhokseumawe. Design/Methodology/Approach-Analysis of the data in this study was done using multiple linear regression. The sample collection method used in this study was convenience sampling with a total sample of 96 people. Findings-The results showed that (Aditya, 2011) perceived ease had a positive significant effect on the use of e-filing (Ajzen, 1980), intensity behavior positive significant effect had a on the use of e-filing (Darussalam, 2007), and user satisfaction had a positive significant effect on the use of e-filing (Davis, 1989). Research Limitations/Implications-The implication of this research is the effect of user satisfaction against use of e-filing. Practical Implications-Use of e-filing can simplify the reporting process overall by taxes and easy to use e-filing. Originality/Value-Perceived ease, intensity behavior, and user satisfaction affect the use of e-filing.

In this study, researchers used respondent data, such as gender, age and length of employment of respondents in order to provide information about the characteristics of respondents. Where from the questionnaires distributed as many as 186. The discussion in this chapter is the result of field studies to obtain data on answers to questionnaires that measure the five main variables in this study, namely  budget participation, job characteristics, emotional intelligence, work motivation and power performance of budget users. Data analysis with parametric and non-parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, instrument testing, normality testing, hypothesis testing, and discussion of the results of hypothesis testing and Path Analysis. The effect of the X3 variable 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 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 0.213 <0.05, so it can be stated that the effect of X4 on Y is significant. The effect of the X1 variable on X4 has a P-Values ​​value of 0.066 > 0.05, so it can be stated that the effect of X1 on X4 is not significant. The effect of the X1 variable on Y has a P-Values ​​of 0.481 > 0.05, so it can be stated that the effect of X1 on Y is not significant. The effect of the X2 variable on X4 has a P-Values ​​value of 0.251 > 0.05, so it can be stated that the effect of X2 on X4 is not significant. The effect of the X2 variable on Y has a P-Values ​​value of 0.124 > 0.05, so it can be stated that the effect of X2 on Y is not significant.

Product Quality on Consumer Buying Interest with Customer Satisfaction as an Intervening Variable at the Tebing Tinggi Black Market Online Store (Case Study on Customers of Tebing Tinggi Black Market Online Store), Product Quality on Consumer Buying Interest with Customer Satisfaction as an Intervening Variable at the Tebing Tinggi Black Market Online Store. The research method used is the data method. qualitative and quantitative data. While the data used is primary data. The data analysis method in this study uses simple linear regression analysis to obtain a comprehensive picture of the effect of product quality variables on consumer buying interest using the SPSS 25 for Windows program. To find out whether there is a significant effect of the independent variable on the dependent variable, a simple linear regression model is used. The results of hypothesis testing using simple regression analysis and t-test show that: the t-table value of the Product Quality variable is 7.644> the t-table value (df: : 68%) of 1.995 so it can be concluded if Product Quality has a positive effect and significant to Consumer Buying Interest.