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Student Learning Achievement Prediction Based on Motivation, Interest, and Discipline Using Fuzzy Inference System

Proceeding from jhptump / 2018-02-10 11:58:13
Oleh : Hindayati Mustafidah, Suwarsito, Universitas Muhammadiyah Purwokerto (h.mustafidah@ump.ac.id)
Dibuat : 2012-06-09, dengan 1 file

Keyword : discipline, fuzzy inference system, interest, Mamdani, motivation, student achievement

The aims of the research were to predict student achievement based on the level of motivation, interest, and discipline of students in lecture activities using fuzzy logic applications. This research was a computer software development with input data consist of motivation, interest, and discipline. Output of the research is prediction of student achievement.


The programming language used MATLAB version 7.0. Method of data collection technique used the questionnaire and documentation. Data were taken from a sample of 157 college students of the Faculty of Teaching and Education Science UMP (27 students), Faculty of Engineering UMP (34 students), and students from STMIK AMIKOM Purwokerto (96 students). The results of the study indicated that the use of fuzzy logic applications with Mamdani fuzzy inference system could predict student achievement based on the level of motivation, discipline, and student interest in learning. The system is engineered visually, so users can use it just by doing a drag on the visual image. Although the regression analysis the level of discipline to learn not significantly influence student learning achievement, but the discipline learning must be maintained and improved as reflected of students personality.

Deskripsi Alternatif :

The aims of the research were to predict student achievement based on the level of motivation, interest, and discipline of students in lecture activities using fuzzy logic applications. This research was a computer software development with input data consist of motivation, interest, and discipline. Output of the research is prediction of student achievement.


The programming language used MATLAB version 7.0. Method of data collection technique used the questionnaire and documentation. Data were taken from a sample of 157 college students of the Faculty of Teaching and Education Science UMP (27 students), Faculty of Engineering UMP (34 students), and students from STMIK AMIKOM Purwokerto (96 students). The results of the study indicated that the use of fuzzy logic applications with Mamdani fuzzy inference system could predict student achievement based on the level of motivation, discipline, and student interest in learning. The system is engineered visually, so users can use it just by doing a drag on the visual image. Although the regression analysis the level of discipline to learn not significantly influence student learning achievement, but the discipline learning must be maintained and improved as reflected of students personality.

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