Decision Tree and Chi-Square Analysis to Determine Student’s Criteria Choosing Study Program
Journal Title: American journal of Engineering Research - Year 2018, Vol 7, Issue 10
Abstract
Appropriate information about the criteria of students who choose a study program at a college can facilitate the socialization of relevant study program in the community and help policy-making related to the development of study program in the future. In this research, database of Informatics students is needed as samples. Through the database of Informatics students at a college, several criteria were selected to support data training using C4.5 Algorithm of Decision Tree techniques in data mining, such as gender, school origin, major at school and total test scores. The data will be trained to produce a decision tree that describes the criteria of students who choose the Informatics study program in the form of rule. The training results showed that there were seven rules that have been simplified through independent tests using chi-square with an error rate of 9.19%.
Authors and Affiliations
Deny Jollyta, M. Wahyudi1, , Hengki T. Sihotang1 , Sri Wahyuni1 ,, Muhammad Zarlis2 ,, Syahril Efendi2
Keywords
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