Pemilihan Mahasiswa Penerima Bantuan Uang Kuliah Tunggal di Universitas Budi Darma dengan Menggunakan Metode SAW

Authors

  • Riki Sulistio Universitas Budi Darma, Medan
  • Ahmad Fahreza Nasution Universitas Budi Darma, Medan
  • Muhammad Tawaf Akbar Universitas Budi Darma, Medan

Keywords:

Student Selection, UKT, SAW Method

Abstract

Higher education in Indonesia, including at Budi Darma University, continues to be committed to creating an inclusive and equitable learning environment for all students. In line with this determination, Budi Darma University is implementing the Single Tuition Assistance (BUKT) program to support educational accessibility. Obstacles in the selection process, which is subjective and lacks a structured framework, can lead to inequality in the distribution of aid. This can result in students who should receive greater support being overlooked, while those who may need less may receive greater aid. In the BUKT selection process, there are a number of requirements that must be met, such as parents' income, PKH card ownership, completeness of documents, parents' dependents and home ownership. It is hoped that the use of a decision support system can be a solution to overcome this challenge. Decision Support Systems (DSS) integrate computer technology, mathematical models, and data to provide structured and organized support within a decision-making framework. The Simple Additive Weighting (SAW) method is a multi-criteria decision making method that allows relative weighing between criteria to determine the final score for each alternative. By applying SAW in the selection of BUKT recipient students, it is hoped that more objective and data-based decisions can be obtained. The research results produced the best alternative with a value of 100.00 in the alternative with code A5 in Fitri's name, so that Fitri was declared entitled to receive single tuition assistance.

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Published

2023-11-03

Issue

Vol. 1 No. 1 (2023): November 2023

Section

Articles

Copyright (c) 2023 Riki Sulistio, Ahmad Fahreza Nasution, Muhammad Tawaf Akbar

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