Penerapan Metode MABAC dalam Sistem Pendukung Keputusan Rekomendasi Aplikasi Pemesanan Hotel Terbaik

People's needs for ordering applications are very popular in today's digital age because they can make it easier people. One of the booking is a hotel application which aims to prevent people from having queue reservations and see many choices other holiday one application. Many available on Playstore Appstore, making hesitant determine right reservations. The Decision Support System applied this study as system recommending best In determining recommendation, must meet criteria such Application Features, Payment Options, Ratings, Number Users Storage Capacity. Therefore, (DSS) needed solving existing problems by applying MABAC (Multi-Attributive Border Approximation area Comparison) method generate preference values ​​from first ranked alternative. So that recommendation lies alternative H8 behalf Traveloka with value 0.51283.