Online train ticket booking has become a popular option to facilitate travel. However, there are still issues in the user experience that can hinder the adoption of this technology, such as unintuitive User Interface, lack of personalization, and limitations in understanding user preferences. The purpose of this research is to address these issues through software development using the user persona method. This study applies the user persona method to identify characteristics and needs of potential users. This data is used to design a more intuitive and personalized User Interface, as well as to develop a system that is more accurate in recognizing user preferences. Additionally, in this research, we integrate principles of user experience design with business needs in online train ticket booking. The results of this research include an enhanced train ticket booking software with a simpler, more personalized, and more responsive User Interface to user preferences. This development also involves the use of better algorithms to understand and anticipate user needs, thus optimizing the experience in booking tickets. The application of the user persona method in the development of online train ticket booking software successfully addresses issues in user experience, improves satisfaction, and ticket booking efficiency. The next steps involve the potential integration of new technologies such as artificial intelligence and natural language processing to enhance the system's ability to respond to user needs
