CD Skripsi

Analisis Data Siswa Berhenti Sekolah Di Smk Kansai Pekanbaru Menggunakan Machine Learning Pada Algoritma C4.5

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that cannot be ignored, even so, there are still many people who drop out of school every year. The problem of students dropping out of school is also a significant challenge at the vocational high school (SMK) level. SMK Kansai Pekanbaru, as one of the schools that faces the impact of the level of students dropping out of school. Factors that cause many students to drop out of school are economic factors, houses that are far from school and so on. The purpose of this study is to find out what causes students to drop out of school with a total data of 94 students. The method used is the C4.5 algorithm. Through calculations using the C4.5 algorithm method, income has the highest gain value of 0.3060199, which means that income is the most influential factor in the classification of students dropping out of school. Based on the results of the evaluation of the analysis model using data testing, an accuracy level of 96.15% was obtained.
Keywords: C4.5 algorithm, Classification, Kansai Vocational School

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2003111136

Penerbit

Pekanbaru : Universitas Riau FMIPA Sistem Informasi., 2024

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2003111136

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SISTEM INFORMASI

Info Detail Spesifik

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Pernyataan Tanggungjawab

Mutia

Versi lain/terkait

Lampiran Berkas

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