The impact of the Covid-19 pandemic on largescale social restrictions forced the economic activities of the Indonesian population to cease, which had an impact on the educational funding process. This makes some people expect a helping hand from the government to cover some of the shortcomings in daily spending, one of them through the Indonesia Smart Card. The provision of aid funds in these conditions must make the process of channeling aid on target. With this problem, it is important to develop a Decision Making System to help the KIP acceptance selection process for students who are indeed eligible to get it. The purpose of this study is that the provision of KIP can be right on target for students who really need it according to specified criteria. For decision making, three stages are used with the method used, the first stage the C-45 method is used for decision making whether students graduate or not, the second stage is the Fuzzy MADM method used for decision making of students who get KIP, and the third stage ranks according to specified total quota. Initial selection uses the C-45 method with variable GPA (V1), distance from home to campus (V2), length of study (V3), work (V4), family (V5), and tuition payment bills (V6). The calculation yields 5 rules which are used to determine normal (graduated) or DO (not) students. Students who pass the initial selection are processed using the MADM fuzzy method for the decision-making process that is truly feasible for KIP. Furthermore, the number that passes is ranked and the amount is taken based on the quota in accordance with the results of the ranking. Of the 456 student data received based on 1024 registrants after ranking, 300 students were drawn based on KIP target recipients. The results of testing the accuracy of 300 KIP recipients who obtained data actually had 284 rights. In order to obtain an accuracy of 98% of students who are eligible for KIP.