Keputusan Penentuan Calon Penerima Bantuan UKT Pada Universitas Budi Darma Penerapan Kombinasi Metode ROC dan WASPAS

Abstract

Single Tuition Fee (UKT) is a framework that is applied in financing that must be paid by students every semester. In tertiary institutions, both public and private, not all students can pay a single tuition fee on time according to the arrangements of their respective colleges. This is due to the unstable economy, coupled with the uncontrolled Covid Illnesses 2019 (Coronavirus) which has made the regional economy far more basic. Like other campuses, Budi Darma Higher Education also receives UKT assistance. Nonetheless, the UKT assistance provided has a predetermined portion, so the selection of future UKT assistance recipients is very important. In making choices to determine the intended recipients of UKT assistance, the tertiary institutions are still constrained by time due to the large amount of information that must be handled or physically selected and of course must meet several standards that are not set by the tertiary institutions. The cycle of selecting UKT beneficiaries which was carried out physically sometimes had emotional results, this was because the previously established model was not met as a prerequisite in determining which students were eligible for assistance. Therefore, to determine future UKT beneficiaries, the choice of networks that support emotionally is expected to work well and avoid mistakes in calculating framework information quickly and more precisely by using the Weighted Collected Total Item Evaluation (WASPAS) strategy. In this review, in applying a combination of ROC and WASPAS techniques to seven students with extraordinary achievements, it is argued that the best choice that is considered worthy of being an extraordinary student is Option A7 worth 2.4730 with the name Marcelo Saha