Prediction of national examination question using C4.5 algorithm

被引:0
|
作者
Lukman, N. [1 ]
Subaeki, B. [1 ,2 ]
Abdullah, H. N. [1 ]
Atmadja, A. R. [1 ]
Wildanuddin, M. [1 ]
机构
[1] UIN Sunan Gunung Djati Bandung, Dept Informat, Jalan AH Nasut 105, Bandung, Indonesia
[2] Sangga Buana YPKP Univ Bandung, Dept Informat Syst, Bandung, Indonesia
关键词
D O I
10.1088/1742-6596/1402/7/077016
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The National Examination in 2018 is no longer the only determinant of student graduation from their school, however the score of the national examination from 2015 has decreased. One of the reasons is that students found difficulties to predict the questions that probably appeared on the exam sheet. This research aimed to help students predict the questions that probably appeared, so that the average value hopefully will be increased. The prediction of the questions that probably appeared on the exam had been done by processing data of the questions used for national examinations several years ago using C4.5 Algorithm. C4.5 Algorithm is a Data Mining technique that can classify predictive questions and it is able to form a prediction of questions on the exam. The result showed that the prediction of questions that probably appeared on exams by using Algorithm C4.5 had good performance and its accuracy is 70 %.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Research on a Charging Pile Fault Prediction Method Based on Improved C4.5 Algorithm
    Liu, Hongpeng
    Xu, Ziqi
    Sun, Yirui
    Wang, Liyuan
    Li, Hongwei
    2024 IEEE 19TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, ICIEA 2024, 2024,
  • [22] Clinical prediction of C4.5 decision tree classification algorithm with embedded resampling technique
    Xu Z.-Z.
    Shen D.-R.
    Kou Y.
    Nie T.-Z.
    Shen, De-Rongy (shenderong@cse.neu.edu.cn), 1600, Northeast University (36): : 1342 - 1350
  • [23] Modeling on disruption risk prediction of manufacturing supply chain based on c4.5 algorithm
    Wang W.
    Chi R.
    Liu C.
    International Journal of Circuits, Systems and Signal Processing, 2021, 15 : 578 - 585
  • [24] Prediction of Teachers' Lateness Factors Coming to School Using C4.5, Random Tree, Random Forest Algorithm
    Gata, Windu
    Grand, Grand
    Patras, Yuyun Elizabeth
    Hidayat, Rais
    Fatmasari, Rhini
    Tohari, Siswanto
    Baharuddin, Baharuddin
    Wardhani, Nia Kusuma
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON RESEARCH OF EDUCATIONAL ADMINISTRATION AND MANAGEMENT (ICREAM 2018), 2018, 258 : 161 - 166
  • [25] Compressed C4.5 Models for Software Defect Prediction
    Wang, Jun
    Shen, Beijun
    Chen, Yuting
    2012 12TH INTERNATIONAL CONFERENCE ON QUALITY SOFTWARE (QSIC), 2012, : 13 - 16
  • [26] Fast Numerical Threshold Search Algorithm for C4.5
    Chong, Wen-Mau
    Goh, Chien-Le
    Bau, Yoon-Teck
    Lee, Kian-Chin
    2014 IIAI 3RD INTERNATIONAL CONFERENCE ON ADVANCED APPLIED INFORMATICS (IIAI-AAI 2014), 2014, : 930 - 935
  • [27] A Comparative Analysis of Pruning Methods for C4.5 and Fuzzy C4.5
    Naseer, Tayyeba
    Asghar, Sohail
    Zhuang, Yan
    Fong, Simon
    ADVANCES IN DIGITAL TECHNOLOGIES, 2015, 275 : 304 - 312
  • [28] Optimization of PBFT Algorithm Based on Improved C4.5
    Zheng, Xiandong
    Feng, Wenlong
    Huang, Mengxing
    Feng, Siling
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
  • [29] Research on Application of C4.5 Algorithm in Performance Analysis
    Lu, Kai
    Chen, Mingrui
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ELECTRONICS, MECHANICS, CULTURE AND MEDICINE, 2016, 45 : 290 - 294
  • [30] The Application of C4.5 Algorithm in the Analysis of Police Training
    Zhe, Chen
    PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING (AMCCE 2017), 2017, 118 : 506 - 511