Jurnal Informatika
Vol 13, No 1 (2019): January 2019

Mamdani Fuzzy Implementation for New Student Admission Selection

Felix Andika Dwiyanto (Graduate School, Universitas Negeri Malang)
Mohammad Rizky Kurniawan (Graduate School, Universitas Negeri Malang)
Syaichul Fitrian Akbar (Graduate School, Universitas Negeri Malang)
Anik Nur Handayani (Graduate School, Universitas Negeri Malang)



Article Info

Publish Date
04 Jan 2019

Abstract

In the selection process for New Student Admissions, there are many prospective new students. However, not all candidates accepted at a school. They must be passing through the selection stage by following specific criteria. Therefore, schools need to select candidates following specific criteria to make the best selection of students. Especially in vocational high school (VHS), the selection processes are more complex. It is because every department in VHS certainly has its criteria (different in each department). Based on the background, this study aims to propose a method based on Mamdani Fuzzy that can be applied to the new student admission selection process. There are three main stages in this method, which are fuzzification, inference, and defuzzification.

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