DATA MINING UNTUK KLASIFIKASI PENENTUAN PEMINATAN SISWA SMA NEGERI 2 TENGGARONG SEBERANG DENGAN MENGGUNAKAN ALGORITMA C4.5
Keywords:
majority of student, algoritma C4.5, confusion matrix, decision tree, classification
Abstract
Currently the majority of students choose a specialization majors following the choices made by the majority of his friends, without considering the factor of academic achievement of students. This resulted in a mismatch specialization interests and skills of the student, as a result many students who have difficulty in catch-up lessons. Application of C4.5 algorithm in the choice of subject specialization will assist in the classification of the variables that influence the selection of the field of specialization majors. C4.5 algorithm is an algorithm that is effective enough to help form a decision tree, the decision tree will then generate a new knowledge. Data collection techniques used interviews, observation, library research, and documentation. Research and evaluation results showed that the analysis of the determination of specialization using 150 data sets consisting of 70% of the training data and testing data is 30% resulting in a level of accuracy of 84,44%
References
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