Youth awareness regarding the importance of continuing their education in higher institutions is very low. It has been discovered that the biggest factor responsible for this is very expensive price of higher institutions. To overcome this problem, Universitas Sebelas Maret (UNS) offers scholarships to individuals who meet the criteria. Currently, the implementation of scholarship selection in UNS is still performed manually and this often leads to a long selection procedure and has been considered inaccurate. Therefore, a Decision Support System (DSS) is needed to aid the scholarship selection process. The system is able to compute the criteria score and generate a ranking based on the criteria weight. The results showed that using the AHP algorithm on DSS at school in East Java yielded an accuracy score of 90%, while the PROMETHEE utilization on a system of determining the food aid recipients showed 85% accuracy. This study aims to determine the difference between the accuracies of AHP and PROMETHE in the development of the scholarship system (SIBEA) at UNS. This study showed the SIBEA prototype and the analysis of the comparison algorithm as well as the one that is better to use at UNS.