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Harman, Rika
Universitas Putera Batam
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Journal : JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)

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Decission Tree Technique Dalam Menentukan Penjurusan Siswa Menengah Kejuruan Ika Purnama Sari; Rika Harman
Journal of Information System Research (JOSH) Vol 1 No 4 (2020): JULI 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Many problems are found as the selection of majors that are not in accordance with the abilities, personalities, interests and competencies that can be accounted for in learning. Data mining methodology will be applied to determine the majors in the field of studio that will be taken by students, so students are not wrong in choosing majors that will be taken while studying at the Vocational High School (SMK). C4.5 algorithm is used to determine the majors to be taken by students according to their own backgrounds, interests and abilities. Major selection parameters are color blindness, health test and interview. The test and evaluation results show that the Decision Tree C4.5 Algorithm is accurately applied to the suitability of student majors in Vocational High Schools (SMK)
Co-Authors Alfannisa Annurullah Fajrin Algifanri Maulana, Algifanri Amrizal Amrizal Arnomo, Sasa Ani Elisa, Erlin Evan Rosiska Ika Purnama Sari Iska Heriyati Sigalingging Nopriadi Nopriadi tukino, tukino