Fuzzy Multi Attribute Decision Making (FMADM) Implementation for Classifying Student’s Single Tuition Fee (UKT) Based on Android Applications

Abstract

Universitas Negeri Yogyakarta is one of the state universities in Indonesia that assigned Student’s Single Tuition Fee (UKT) policy. UKT is an Indonesian government policy of tuition fees charged to every student with nominal based on the student’s financial capabilities. Although the implementation of UKT nominal has been arranged in such ways, there are problems occurred, such as inconsistency and inaccuracy of UKT nominal classification. This causes so many dissatisfactions between students to the UKT nominal that did not meet the expectations and raises questions about the transparency of the determination of student’s UKT nominal. Therefore, the application of Fuzzy Multi Attribute Decision Making (FMADM) can improve the accuracy and the effectivity of the determination of student’s UKT nominal also answering the student’s questions and giving clarifications about student’s UKT nominal. The result of this research was an Android-based application that can be used for determining student’s UKT nominal and determining what group that nominal belongs to with ease for under 5 minutes fast. With this android application, determining and calculating student’s UKT nominal will be much faster and more accurate when groupping the UKT nominal than the conventional method used before.

Penerapan Fuzzy MADM Dalam Penentuan Karyawan Terbaik Berbasis Mobile Android (Studi Kasus: RSI Assyifa Sukabumi)

“…Metode Fuzzy Multiple Atribute Decision Making (MADM) merupakan sebuah metode yang dapat digunakan dalam mencari alternatif optimal dari beberapa alternatif dengan kriteria tertentu. Pada dasarnya Fuzzy MADM adalah menentukan nilai bobot untuk setiap atribut, Fuzzy MADM telah bayak digunakan oleh para peneliti di dunia, penelitian menggunakan Fuzzy MADM telah diterapkan dalam bidang ekonomi, pemerintahan [6]- [8], bidang pendidikan seperti dalam penelitian Sugiarto, dkk., [9] dan beberapa bidang lain. Beberapa penelitian lain seperti penelitian yang dilakukan oleh Wu Bing, dkk., dalam penelitiannya yang membahas tentang pemilihan lokasi penempataan turbin angin, diungkapkan bahwa Fuzzy MADM sangat cocok untuk penentuan dengan kriteria yang banyak [10], [5], [11].…”