Metode Support Vector Machine Sebagai Penentu Kelulusan Mahasiswa pada Pembelajaran Elektronik

Metode Support Vector Machine Sebagai Penentu Kelulusan Mahasiswa pada Pembelajaran Elektronik

• By Permana, Rizqi Agung; Sahara, Sucitra;
• Jurnal Khatulistiwa Informatika
• 339
• 50-58

ABSTRAKSI
Pembelajaran Elektronik adalah sistem web platform komunikasi berbasis yang memungkinkan
peserta didik, tanpa batasan tempat dan waktu, untuk mengakses berbagai alat belajar, seperti forum
diskusi, penilaian, repositori konten, dan sistem sharing dokumen. Pembelajaran Elektronik bisa sama
efektifnya dengan tatap muka dalam pengajaran di kelas konvensional dan belajar, jika teknik
mengajar yang tepat dan terorganisir dengan baik. Berdasarkan pengolahan data yang telah
dilakukan dengan algoritma membandingkan dan Support Vector Machine Support Vector Machine
dengan menggunakan data log dari siswa. Kemudian di tes untuk mendapatkan akurasi dan nilainilai AUC setiap algoritma sehingga hasil tes yang tertinggi diperoleh dengan menggunakan mesin
dukungan vektor dengan akurasi 85.02%, dan nilai AUC 0.710.
Keyword: Metode SVM, Kelulusan Mahasiswa, Pembelajaran Elektronik

• Katakunci Sucitra Sahara
• URL https://ejournal.bsi.ac.id/ejurnal/index.php/khatulistiwa/article/view/5743
• Penerbit ,

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