Open AccessIn Pursuing Better Academic Result In University: A Case of Fuzzy Logic Analysis
Author(s) -
Hamzah Ahmad,
Nurul Ain Binti Mohd Asri
Publication year - 2021
Publication title -
international journal of computers
Language(s) - English
Resource type - Journals
ISSN - 1998-4308
DOI - 10.46300/9108.2021.15.13
Subject(s) - excellence , fuzzy logic , computer science , matlab , machine learning , artificial intelligence , advice (programming) , data mining , mathematics education , mathematics , programming language , political science , law
A fuzzy logic approach is applied in this proposed system as a method to predict the performance student in pursuing better academic results in university. Fuzzy logic is used because the technique is suitable for statistical database as well as suitable to obtain general classification between excellence and moderate students. The main issue in this project is the difficulties to predict the student’s performance and to sustain their result. The fuzzy logic approach is suitable for data classification and the performance will be analyzed by using Matlab simulink. Besides that, several difference methods of membership were also been investigated in order to design and propose the most stable and reliable system. Based on the results obtained from simulation, it has provided meaningful characteristics that are significant and able to advice student getting better grades in academicals program (BEE & BEP). Moreover, the system will provide better study to student whose do not understand the university system during their early years in university.