This study aims to identify and analyze affect the level of consumer confidence in online shopping by using a Technology Acceptance Model (TAM). The hypothesis tested in this study is the variable perceived ease of use, perception of benefits and the characteristics and quality of the website have positive effect toward online shopping variables. Primary data collection through questionnaires distributed to society who meet the characteristics of respondents who had been assigned as many as 150 respondents. Sampling using the nonprobability sampling technique that is judgement sampling. Data analysis methods used is multiple linear regression test and test hypotheses. The result of the study indicate that based on the results of the F test, all the variables that affect consumer confidence levels simultaneously has a positive and significant impact on online shopping. Based on the results of t test each variable separately positive effect on online shopping. The value of Adjusted R Square 0,191, which means 19,1% of online shopping variables influenced by perceived ease of use, perception of benefits and the characteristics and quality of the website, while the remaining 80,9% is influenced by other factors not examined in this study.