<![CDATA[An exercise is basically a very important requirement for every human being in life so that physical and health conditions can be maintained properly. But this one activity is very easy for us to leave with various pretexts. The lack of public interest in exercise can be influenced by a variety of things, including lack of players, inappropriate time, and the distance of distant sports venues. With the current large level of community penetration in using the internet coupled with a large number of smartphone ownership, this study made a solution in the form of a sports friend search platform called "Sportify". This system uses interest in sports preferences, location and rating in finding players or friends in sports. The Haversine method is also used to find players with the closest location from the sport, and also used the Technique for Preference by Similarity to Ideal Solution (TOPSIS) algorithm to recommend players. This research begins by conducting a needs analysis and getting 44 functional requirements and 1 non-functional requirement. Then do the design and implementation stages. The development model used in this study is waterfall. This system was developed using the Java programming language on mobile devices with the Android operating system. Sportify also uses database storage technology in the form of NoSQL. The next step after implementation is testing the system. This system was successfully tested with unit testing, integration, validation, and usability. The results of the system testing are 100% valid and usability testing with System Usability Scale (SUS) is 73.5 which is in the acceptable category.]]>
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