Decision Support System For Determining The Single Tuition Group (UKT) In State University Of Medan Using Fuzzy C-Means

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.