Comparison of the Results of the Edas and Vikor Methods in the Decision Support System for KIP Scholarship Recipients at Malikussaleh University

Khairul Muzakkir Alwy Lubis, B. Bustami, Zahratul Fitri
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Abstract

Many high school graduates do not go on to higher education due to the high cost of education. To address this issue, the government, educational institutions and related parties can work together to find solutions to reduce financial barriers and increase access to higher education. In finding prospective students who are eligible to receive scholarships, the government must be fair and precise in making decisions regarding KIP scholarship recipients. This research uses EDAS and VIKOR methods in the selection of prospective KIP scholarship recipients at Malikussaleh University. This study uses historical data of previous KIP scholarship recipients as test data, where there are 6 criteria used, namely parent status, parent income, number of parent dependents, parent employment, parent home ownership, and parent home area. The application of the EDAS method resulted in Fauzi (230510004) as the first rank with an AS value of 0.850; then Hernita Ceria (230180023) as the second rank with an AS value of 0.791; and Ipadayan (230340033) as the third rank with an AS value of 0.789. In the application of the VIKOR method results, Halimah Murni (230210176) as the first rank with a Q value of 0.000; then Nauval Alzabar (230110077) as the second rank with a Q value of 0.015; and Muhammad Bukhari (230110040) as the third rank with a Q value of 0.024. 4. The results of this study state that the EDAS and VIKOR methods are methods that have different types. The EDAS method ranks alternatives based on their distance from the average solution, resulting in a ranking of alternatives based on how close they are to the optimal solution. While the VIKOR method ranks alternatives and provides the best compromise solution that best matches the applied criteria.
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马里库萨雷大学 KIP 奖学金获得者决策支持系统中 Edas 和 Vikor 方法的结果比较
由于教育费用高昂,许多高中毕业生没有继续接受高等教育。为了解决这一问题,政府、教育机构和相关各方可以共同努力,找到减少经济障碍、增加接受高等教育机会的解决方案。在寻找有资格获得奖学金的潜在学生时,政府必须公平、准确地决定 KIP 奖学金的获得者。本研究采用 EDAS 和 VIKOR 方法来选择马利库萨雷大学的 KIP 奖学金潜在获得者。本研究使用以往 KIP 奖学金获得者的历史数据作为测试数据,其中使用了 6 项标准,即父母身份、父母收入、父母受抚养人数量、父母就业、父母住房所有权和父母居住地区。根据 EDAS 方法,Fauzi(230510004)排名第一,AS 值为 0.850;Hernita Ceria(230180023)排名第二,AS 值为 0.791;Ipadayan(230340033)排名第三,AS 值为 0.789。在 VIKOR 方法的应用结果中,Halimah Murni(230210176)排名第一,Q 值为 0.000;Nauval Alzabar(230110077)排名第二,Q 值为 0.015;Muhammad Bukhari(230110040)排名第三,Q 值为 0.024。4.本研究结果表明,EDAS 和 VIKOR 方法是不同类型的方法。EDAS 方法根据备选方案与平均解的距离进行排序,从而根据备选方案与最优解的接近程度进行排序。而 VIKOR 方法则对备选方案进行排序,并提供最符合应用标准的最佳折中方案。
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