Penerapan Data Mining Untuk Memprediksi Penerimaan Peserta Didik Baru Menggunakan Algoritma C4.5

Riki Winanjaya, Faisal Amir, Rahmad Doni

Abstract


Hasanah Vocational High School (VHS) is a school that has been accredited A Excellent. But New Student Admission (NSA) has some difficulties in knowing the potential of students who will attend school. This is due to inconsistent selection and subjective judgments. Therefore a method is needed to identify new prospective students at school. Data Mining with C4.5 Algorithm can be used to make predictions and classifications of prospective new students in school by making decision trees based on existing data and predicting new prospective students who want to go to school. Data on prospective students who register through the regular path of the 2018/2019 school year. The results obtained are variables that have the highest priority on the predictions of NSA are prospective students who test scores with high scores so the student is declared an accepted status.

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DOI: http://dx.doi.org/10.30645/senaris.v1i0.1

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