Penerapan Metode Support Vector Machine (SVM) Guna Menentukan Tingkat Lulus Mahasiswa E-Learning

Penerapan Metode Support Vector Machine (SVM) Guna Menentukan Tingkat Lulus Mahasiswa E-Learning

• By Sahara, Sucitra;
• Jurnal Nasional Tidak Terakreditasi
• 340
• 121-127

Intisari-E-Learning 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. E-Learning bisa sama efektifnya dengan
tatap muka dalam pengajaran di kelas konvensional dan
belajar, jika teknik mengajar yang tepat dan terorganisir
dengan baik (Oztekin et al. 2013). 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 nilai-nilai AUC setiap algoritma
sehingga hasil tes yang tertinggi diperoleh dengan
menggunakan mesin dukungan vektor dengan akurasi
81.02%, dan nilai AUC 0.810

• Katakunci Sucitra Sahara
• URL https://ejournal.antarbangsa.ac.id/index.php/jsi/article/view/121
• Penerbit ,

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