PENGARUH IPK DAN MOTIVASI DALAM MEMPREDIKSI KETEPATAN WAKTU KELULUSAN MAHASISWA DENGAN MENGGUNAKAN SISTEM PAKAR BERBASIS ADAPTIVE NEURO FUZZY
Abstract
In study discussed the relationship between GPA and influence student motivation toward their graduation timeliness in Strata I program a maximum of 8 semesters. The methodology used is based Expert System Modeling Adaptive Neuro Fuzzy. Simulations were performed with MATLAB software Ver.8 produce a model of expert system that is able to predict the exact time graduation rate for students is based on two input parameters, namely GPA (Grade Point Average Index) and Student Motivation Student in following the educational process. The result is that students with GPA above 3.00 and have a high motivation to lecture graduate generally in no more than 8 semesters.
Keywords: ANFIS, MATLAB, RMSE, GPA, Motivation, Adaptive Neuro Fuzzy
Full Text:
PDFDOI: https://dx.doi.org/10.36080/bit.v10i2.521
Refbacks
- There are currently no refbacks.
Copyright (c) 2018 BIT
OFFICE:
FAKULTAS TEKNOLOGI INFORMASI - UNIVERSITAS BUDI LUHUR, Jl. Ciledug Raya, Petukangan Utara, Jakarta Selatan, 12260. DKI Jakarta, Indonesia. Telp: 021-585 3753 Fax: 021-585 3752
Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) by FAKULTAS TEKNOLOGI INFORMASI - UNIVERSITAS BUDI LUHUR isĀ licensed under CC BY-SA 4.0
View Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Satats