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All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) TIN: TERAPAN INFORMATIKA NUSANTARA RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI BEES: Bulletin of Electrical and Electronics Engineering
Saifullah Saifullah
STIKOM Tunas Bangsa, Pematangsiantar
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Journal : BEES: Bulletin of Electrical and Electronics Engineering

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Implementasi Metode Decision Tree Pada Tingkat Prestasi Belajar Siswa di SMK Swasta Anak Bangsa Nurhayati Nurhayati; Saifullah Saifullah; Riki Winanjaya
BEES: Bulletin of Electrical and Electronics Engineering Vol 1 No 3 (2021): Maret 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Data Mining is a series of processes to explore added value in the form of knowledge that has not been known manually from a data set. This grouping aims to determine the level of student success in the learning process that has been carried out. The approach used is quantitative. The subjects of this grouping are Class X (Ten) Academic Years 2018 to 2020. The data collection technique used is the learning outcome test. This grouping is done using Data Mining Rapid Miner 5.3 software, where the results will prove that the results of the evaluation of learning achievement are carried out by applying the C4.5 Algorithm. The results obtained are an accuracy value of 71.43%, meaning that the resulting rule is close to 100% correctness. Where the results of the Class Achieving precision label is 63.89% and the label Not Achieving is 92.31%. In accordance with these provisions, the results of manual calculations with Rapid Miner testing produce 11 models of rules or rules for Student
Co-Authors Agus Perdana Windarto Ali Akhbar Nasution Astri Veranita Sinaga Dedy Hartama Dewinta Marthadinata Sinaga Eka Irawan Irfan Sudahri Damanik Jaya Tata Hardinata Nurhayati Nurhayati Paulus Hendrico Silalahi Putriyani Matondang Winanjaya, Riki