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This study aims to examine the factors that influence the behavior of using accurate online in computer accounting subjects based on the acceptance model and use of UTAUT technology. This research is quantitative. The population in this study were 81 students majoring in financial accounting SMK IPIEMS Surabaya institutions, with a research sample of 44 people. Samples were taken based on the purposive sampling technique with the criteria of students who have or are currently taking computer accounting subjects. Data were collected using a questionnaire. The data analysis technique used in this research is the analysis technique of Structural Equation Modeling (SEM). The results show there is a significant positive indirect effect between performance expectancy, effort expectancy and social influence towards the behavior of using accurate online with behavioral intention as a mediating variable.

The method of collecting data is through surveys and distributing questionnaires to visitors, with a sample of 100 respondents using quantitative techniques. The data analysis technique used is SEM (Structural Equation Modeling) analysis with PLS (Partial Least Square). The results of this study indicate that there is no significant influence of attractiveness on visiting satisfaction and there is a significant influence of location on visiting satisfaction, then there is no significant influence of attractiveness on visiting decisions and there is a significant influence of location on visiting decisions, then there is a significant influence of visiting satisfaction on decisions Visiting and visiting satisfaction cannot mediate the effect of attractiveness on visiting decisions, while visiting satisfaction can mediate the influence of location on visiting decisions.Analysis of Variant (R2) can be seen that the R-square value for the visiting decision variable is 0.788 which can be interpreted that the magnitude of the influence of the attractiveness, location and visiting satisfaction variable on the visiting decision is 78.8% while the remaining 21.2% is explained by the variable others outside of this study. Then the R-square value for the visiting satisfaction variable is 0.634, which means that 63.4% of the visiting satisfaction variable is influenced by attractiveness and location variables, while the remaining 36.6% is influenced by other variables outside of this study.