Prediction Models Based on Flight Tickets and Hotel Rooms Data Sales for Recommendation System in Online Travel Agent Business

Handito Muhammad Septiadi, Citrananda Ariandika, Andry Alamsyah


Indonesia as one of the favorite vacation destinations of domestic andforeign travelers made the value of investment in the tourism industrycontinued togrow significantly. This was created more Online Travel Agent business in recentyears. However, it made a lot of business traveland Umrah travel in Indonesia is threatened with bankruptcy, after the online travel business activity is rampant in enterprise business marketticket sales and travel tours.The case studyof this researchwas different fromthe Online Travel Agentbusiness in general because it workedin real-time using flight tickets andhotel rooms salesdata.Data mining, extraction of hidden predictive information from large databases, wasa powerful technology with great potential to help companies focus on the most important information in their data warehouse.By using themethod of classification in data mining, the objectives of thispaperwas able to create predictive models from flight tickets andhotelroomssalesdatausing the decision tree classification approach. The result of thispaperis beneficial for businessthat can be used as basic algorithmforprogramming inOnline Travel Agentrecommendation feature.

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