MADM模型Yager和k-NN对单次学费支付的组合

Alders Paliling, Muh Nurtanzis Sutoyo
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引用次数: 0

摘要

州立大学(PTN)的学费支付使用单一学费(UKT)支付系统。它的实施是为了让学生更容易支付学费。UKT系统从UKT I组到UKT VIII组分为几个组。科拉卡大学是一所州立大学,大学应该根据UKT系统确定每个学生的学费金额。在确定每个学生的UKT组时,使用了几个变量,以便更容易地将学生分组到他们的UKT组中。然而,大量的学生,许多变量和有限的时间来确定每个学生的UKT数量成为一个问题,因此需要一种方法来帮助USN Kolaka为每个学生分组UKT。可以做的一件事是使用MADM模型Yager和k-NN,以便更容易对UKT学生进行分组。研究结果表明,利用MADM模型Yager和k-NN可以确定学生的UKT群体,其中UKT I组63人(21.95%),UKT II组72人(25.09%),UKT III组120人(41.81%),UKT IV组7人(2.44%),UKT V组25人(8.71%)。
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Combination of the MADM Model Yager and k-NN to Group Single Tuition Payments
Tuition payments at State Universities (PTN) use a Single Tuition Fee (UKT) payment system. It has been implemented to make it easier for students to pay their tuition. The UKT system is divided into several groups starting from the UKT group I to VIII. Universitas Sembilanbelas November (USN) Kolaka is a state university and the university should determine the amount of tuition fees for each student according to the UKT system. In determining the UKT group for each student, several variables were used to make it easier to group student into their UKT groups. However, the large number of students, a number of variables and the limited time to determine the amount of UKT for each student become an issue, so a method was needed to help USN Kolaka in grouping UKT for each student. One thing that can be done was to use the MADM model Yager and k-NN in order to make it easier to group UKT students. The results of the study showed that the use of the MADM Model Yager and k-NN could determine the UKT group of the students, and the results obtained for the UKT group I were 63 people (21.95%), the UKT group II were 72 people (25.09%), the UKT group III were 120 people (41.81%), UKT group IV were 7 people (2.44%), and UKT group V were 25 people (8.71%).
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