The Single Tuition System (UKT) is a portion of the Single Tuition Fee that is paid to each student based on his economic ability. UKT which applied at State Universities in Indonesian is a policy aimed at helping and reducing the cost of student education. Decree of Menristekdikti Number 91/M/KPT/2018 concerning Single Tuition Fee (BKT) and Single Tuition (UKT) at State Universities in the Ministry of Research, Technology, and Higher Education in 2018 divides UKT into seven groups. The purpose of this study is to develop a decision support system to determine the UKT group using the Fuzzy C-Means Clustering method. The decision support system is developed based on the web using the Fuzzy C-Means Clustering method. The data used as a sample is the data of undergraduate students of the Faculty of Mathematics and Natural Sciences, The State University of Medan in 2018/2019. The parameters used for grouping UKT are: the amount of parents’ income, the number of siblings based on the Family Card, the condition of the Father (Life or Death), the condition of the Mother (Life or Death), the Building Land Tax (PBB), the Motor Vehicle Tax (PKB) total last one year, and the last one month electricity costs. The grouping results showed that 76% were in groups 1 to 4, and 24% were in groups 5 to 7. However, the results of this clustering are not final due to inaccuracies in filling data for several parameters, so that data validation is required by checking from other sources of information.