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This study has the main objective of knowing how the influence of E-WOM (electronic word of mouth) and the appeal of the decision to visit the Rest Area Heritage KM 260B. This study uses a quantitative research type with the SPSS version 22 method. The population used in this study is all visitors in the Heritage Rest Area with a sample of 101 respondents, consisting of 16 questions and obtained by distributing questionnaires to all Rest Area Heritage visitors. offline (paper) and online (google form). The results showed that the E-WOM variable had a positive effect on visiting decisions with a significance value (sig) of 0.000 < probability 0.05 and a tcount of 5,458 > ttable of 1,985. The attractiveness variable has a positive effect on the decision to visit with a significance value (sig) of 0.009 < probability 0.05 and a tcount of 2.667 > ttable of 1.985, so it can be interpreted that the variation of all independent variables, namely E-WOM and attractiveness can affect the decision to visit

Consumer behavior is the basis for consumers to make purchasing decisions. Consumer behavior is an activity that is closely related to the process of purchasing goods or services. In this study, the independent variable is consumer behavior (X), while the dependent variable is online purchasing decisions (Y). This study aims to examine and analyze the influence of consumer behavior in making online purchasing decisions for the people of Brebes Regency on e-commerce shoppe. The type of research used is quantitative research. The processed data is the result of distributing questionnaires to the public or consumers randomly via google form, the number of population is unknown with a sample of 100 respondents who have been processed using SPSS 22. Data analysis techniques used in this study are validity test, reliability test, test normality, simple linear regression test, coefficient of determination test (R²), and t-test (Partial). Based on the t-test (Partial) shows a positive and significant influence on online purchasing decisions with a value of 0.000 <0.05