2nd Nommensen International Conference on Technology and Engineering | |
Data Mining of Family, School, and Society Environments Influences to Student Performance | |
Giap, Yo Ceng^1 ; Leonardi, Nico^1 ; Waseso, Bayu^2 ; Rahim, Robbi^3 | |
Department of Information Technology, Universitas Buddhi Dharma, Tangerang, Indonesia^1 | |
Faculty of Computer Science, Universitas Mercubuana, Jakarta, Indonesia^2 | |
School of Computer and Communication Engineering, Universiti Malaysia Perlis, Kubang Gajah, Malaysia^3 | |
关键词: Academic achievements; Binary Classification Approach; Data mining methods; Data mining models; High-accuracy; Society environment; Student performance; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/420/1/012090/pdf DOI : 10.1088/1757-899X/420/1/012090 |
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来源: IOP | |
【 摘 要 】
It is a common fact that every parents wants their children to get achievements, especially academic achievements. Demands by demands then addressed to their children to get higher and higher score in every subjects. However, parents and teachers are often forgot about one thing, besides of just demanding the children to get high scores, they also responsible in providing the best conditions to boost the children's potential and performance. To help solving this issue, the author used data mining model in binary classification approach. Data mining methods that author chose was decision tree due to its high accuracy comparing to the neural network and support vector machine that have lower accuracy than decision tree. Despite of previous result that is the main factor that affects student performance, in this research, we also found several factors of environments that may affects the student performance.
【 预 览 】
Files | Size | Format | View |
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Data Mining of Family, School, and Society Environments Influences to Student Performance | 205KB | download |