The hotel industry on Java Island, focusing on international, joint venture, and local five-star hotels, benefits from the island's status as a central tourism hub, rich in cultural and historical significance. Java's high population density creates a vast tourism market, offering substantial opportunities for hotel businesses. The tourism industry is integral to regional economic growth, contributing to foreign exchange, infrastructure development, and supporting service sectors. Hotels play a crucial role in attracting and retaining tourists by providing accommodations that affect the duration of stays. This research explores the decision-making process behind hotel selection on Java Island, focusing on factors like price, location, and amenities that influence guest preferences. The study uses the Multinomial Logit Model to categorize and predict these preferences, offering insights into how different types of five-star hotels attract various consumer segments. Objectives include analyzing factors affecting hotel choice, developing predictive models, evaluating the influence of these factors, and providing insights for hotel managers to refine marketing and service strategies. Methodologically, the research employs a quantitative approach with data from 400 respondents, using the Multinomial Logit Model to analyze survey data on variables such as price, location, facilities, customer reviews, and guest demographics.