Classification of Subject Concentration using Algorithm C4.5

Abstract

Universitas Komputer Indonesia (UNIKOM) is one of developing a private university in Bandung. Information system department is one of the big department at UNIKOM. Due to the applicable curriculum at information system department, the students who want to continue their study to 6th semester, they have to choose their subjects concentration. There is the unknown pattern classification of the subject selections, because of there is not standard to manage the selection of subject concentration at information system department of UNIKOM. This is because of the less of processing data maximally. It is necessary to do the classification pattern analyzing of subject's concentration selection deeply, therefore the hidden pattern can be known and found out the things that affected to the selection of subjects. The resulting pattern can be used to design the standard selection of concentration subject at information system department. The analysis in this research used Algorithm C4.5. The selection of Algorithm C4.5 as an algorithm to facilitate the formation of a decision tree that able to create the selection pattern of subject concentration. The resulting pattern can be a guide to design a recommendation for selecting the subject concentration of students at information system of UNIKOM.