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
  • [41] Optimizing the C4.5 Decision Tree Algorithm using MSD-Splitting
    Rim, Patrick
    Liu, Erin
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2020, 11 (10) : 41 - 47
  • [42] Detecting E-Banking Phishing Website using C4.5 Algorithm
    Alhamad, Haya
    Alzyadh, Tagreed
    Badawi, Maria Altaib
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2020, 20 (11): : 46 - 51
  • [43] Kansei factor analysis using C4.5
    Yoshida, K
    SOFT COMPUTING AND INDUSTRY: RECENT APPLICATIONS, 2002, : 577 - 588
  • [44] Classifying Sybil in MSNs using C4.5
    Chinchore, Anand
    Xu, Guandong
    Jiang, Frank
    2016 INTERNATIONAL CONFERENCE ON BEHAVIORAL, ECONOMIC AND SOCIO-CULTURAL COMPUTING (BESC), 2016, : 145 - 150
  • [45] The Research and Analysis in Decision Tree Algorithm Based on C4.5 Algorithm
    Hao, Huan
    Chen, Tieming
    Lu, Jing
    Liu, Jie
    Ma, Xiaodan
    PROCEEDINGS OF 2018 IEEE 3RD ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC 2018), 2018, : 1882 - 1886
  • [46] Diabetic Retinopathy Classification Using C4.5
    Park, Mira
    Summons, Peter
    KNOWLEDGE MANAGEMENT AND ACQUISITION FOR INTELLIGENT SYSTEMS (PKAW 2018), 2018, 11016 : 90 - 101
  • [47] C4.5 classification algorithm with back-track pruning for accurate prediction of heart disease
    Jothikumar, R.
    Balan, Siva R., V
    BIOMEDICAL RESEARCH-INDIA, 2016, 27 : S107 - S111
  • [48] Academic Analytics: Applying C4.5 Decision Tree Algorithm in Predicting Success in the Licensure Examination of Graduates
    Clarin, Jeffrey A.
    Romana, Cherry Lyn C. Sta
    Feliscuzo, Larmie S.
    2019 IEEE 4TH INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION SYSTEMS (ICCCS 2019), 2019, : 193 - 197
  • [49] Novel Professional Career prediction and recommendation method for individual through analytics on personal Traits using C4.5 Algorithm
    Katore, Lokesh S.
    Ratnaparkhi, Bhakti S.
    Umale, Jayant S.
    2015 GLOBAL CONFERENCE ON COMMUNICATION TECHNOLOGIES (GCCT), 2015, : 910 - 913
  • [50] Improved C4.5 algorithm based on k-means
    Li, Honghui
    Xi, Yikun
    Lu, Hailiang
    Fu, Xueliang
    JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING, 2020, 20 (01) : 177 - 189