Open AccessPredicting Student Interests Against Laptop Specifications Through Application of Data Mining Using C4.5 Algorithms
Author(s) -
Y. R. Pratama,
Sufa Atin,
Irawan Afrianto
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/662/2/022129
Subject(s) - laptop , computer science , decision tree , data mining , data science , algorithm , operating system
The purpose of this research was to provide information about the prediction of student interest in the laptop specifications through the application of data mining using the C4.5 algorithm. The method used in this research is a survey method by conducting interview. This research was conducted by conducting interviews with several students. The results of this research was a decision tree that describes the laptop specifications that is most in demand by students, so students who want to have a laptop can easily determine laptop specifications based on the number of enthusiasts on certain laptop specifications. The technique used in the application of data mining in this research is a classification technique. The conclusion in this research is that by implementing data mining, students don’t need to look for various sources to find laptop specifications that are needed by students in meeting their college needs in long time.