Worth eat: An intelligent application for restaurant recommendation based on customer preference (Case study: Five types of restaurant in Tangerang Selatan region, Indonesia)

In a metropolitan, to find a restaurant in rush hour is a challenging activity to do. It is going to be easy, when someone accesses an application and it recommend the best restaurant then he/she can visit to. Through using combination between methods fuzzy-logic and bubble-sort that were realized in customer preference case, an intelligent application for restaurant recommendation was technologically constructed. The method fuzzy logic used to parameterize three selected parameters; interest, location, and rating. And, the bubble-sort is a method to optimize the recommendation based on full-factorial concept. Tangerang Selatan (Indonesia) area and twelve restaurants indicating five types of restaurant were practically chosen as a case study of this research, and seventy seven respondents were realistically involved to justify the selected parameters.