METODE KLASIFIKASI DENGAN ALGORITMA NAÏVE BAYES UNTUK REKOMENDASI PENJURUSAN SMA TERANG BANGSA

Authors

  • Andrew Yova Kencana Jurusan Teknik Ilmu Komputer,Universitas Dian Nuswantoro, Semarang
  • Setia Astuti Jurusan Teknik Ilmu Komputer,Universitas Dian Nuswantoro, Semarang

DOI:

https://doi.org/10.33633/tc.v15i3.1235

Abstract

SMA Terang Bangsa adalah salah satu sekolah yang sedang menerapkan pendidikan kurikulum 2013. Di mana kurikulum 2013 ini adalah penjurusan yang dilakukan di kelas X. Berbeda dengan tahun lalu di mana penjurusan di lakukan di kelas XI menggunakan faktor nilai-nilai SMA maka di kurikulum baru ini menggunakan faktor nilai SMP mereka. Penelitian ini bertujuan untuk membuat aplikasi data mining klasifikasi menggunakan algoritma Naive Bayes. Algoritma Naive Bayes ini adalah algoritma yang menggunakan teknik probabilitas sederhana berdasarkan penerapan aturan bayes. Atribut yang di gunakan dalam penelitian ini adalah NIS (No Induk Siswa), nilai rata-rata pelajaran IPA, nilai rata-rata Matematika , nilai rata-rata  Bahasa Inggris , dan minat. Hasil dari penelitian ini adalah terimplementasinya aplikasi data mining sebagai klasifikasi penjurusan Siswa SMA Terang Bangsa. Kata kunci : Data Mining, Algoritma Naïve Bayes  , Penjurusan SMA , Kurikulum 2013.

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Published

2016-10-05

Issue

Vol. 15 No. 3 (2016): Agustus 2016

Section

Articles

License

Copyright (c) 2016 Andrew Yova Kencana, Setia Astuti

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