At the time of the Covid-19 pandemic, people were encouraged to stay at home to avoid Covid-19 transmission and shop online. However, in reality the traditional markets are still crowded with people to shop for their daily needs. This study tries to find answers to how consumer preferences for shopping at online stores and offline stores during the Covid-19 pandemic, what factors influence consumer preferences for shopping at online stores and offline stores during the pandemic, what factors

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... t dominant influence consumer preferences for shopping at online shops and offline stores during the Covid-19 pandemic, and how the accuracy of the model predicts the probability of consumers choosing to shop online compared to offline shopping during the Covid-19 pandemic. The method used in this research is through stages starting with observation and survey, data collection, data analysis with descriptive statistics and Binary Logistic Regression analysis. The results showed the factors that influenced consumer preferences in shopping at online stores and offline stores during the Covid-19 pandemic were the ease of obtaining products and social experiences. The most dominant factor affecting consumer preferences for shopping at online and offline stores is the ease of getting products. For the best logit model in this study, the classification accuracy of the approach is quite high.