Data Mining Technique as Majors Support System Management with Classification Approach

作     者：Basri Muhammad Siddiq Rosmawati Tamin Sulihin Azis 

作者机构：Informatics Study Program Universitas Al Asyariah Mandar West Sulawesi Indonesia Information System Study Program Universitas Al Asyariah Mandar West Sulawesi Indonesia Education Faculty Universitas Al Asyariah Mandar West Sulawesi Indonesia 

出 版 物：《Journal of Physics: Conference Series》 

年 卷 期：2019年第1244卷第1期

学科分类：07[理学] 0702[理学-物理学] 

摘      要：Majors systems in an educational institution both at the primary level and higher education are the main thing. The academic potential of students becomes one of the main factors in supporting the success of learning. Even in an admission system, entrance test cannot be separated from the potential academic test. The academic potential test is only used as a standard of acceptance, and very rarely even never used to be information that can classify students into a specialization. Analysis of potential academic data with various variables will be very much so that required Data Mining techniques to mining of the larger data. The purpose of this research is to implement of Data Mining technique with classification approach to analyze academic potency in the major supports system management. The classification technique is applied as the object of research and measured its performance to obtain information according to the needs and objectives of the study. The results showed that the implementation of classification techniques could provide information that indicates the academic potential in major support system management, so this research can be a reference to create a system of potential academic search in general and can be implemented as an applicable tool in major support system management.