Implementasi Deep Learning Untuk Rekomendasi Aplikasi E-learning Yang Tepat Untuk Pembelajaran jarak jauh

Penulis

  • Wowon Priatna Fakultas Ilmu Komputer; Universitas Bhayangkara Jakarta Raya
  • Rakhmat Purnomo Fakultas Ilmu Komputer; Universitas Bhayangkara Jakarta Raya
  • Tri Dharma Putra Fakultas Ilmu Komputer; Universitas Bhayangkara Jakarta Raya

DOI:

https://doi.org/10.31599/jki.v21i3.521

Kata Kunci:

E-learning, online teaching, Deep Learning, Artificial Neural Network, Python

Abstrak

Tujuan penelitian ini adalah untuk rekomendasi aplikasi e-learning yang tepat untuk digunakan dalam pembelajaran online dilingkungan perguruan tinggi. Banyaknya platform e-learning yang digunakan oleh dosen-dosen untuk kegiatan kuliah online berakibat mahasiswa dalam belajar terpaksa menggunakan beberapa aplikasi e-learning tergantung dari dosen yang mengajar mata kuliah yang diambil, untuk pihak universitas juga akhirnya memberikan kebijakan dosen-dosen untuk laporan pembelajaran jarak setiap selesai memberikan materi. Dalam penelitian ini metode pengumpulan data dimulai dengan mengambil data dari fakultas untuk mengetahui aplikasi e-learning yang banyak digunakan oleh para dosen, selanjutnya membagikan kuisioner kepada mahasiswa dan dosen yang menggunakan aplikasi e-learning untuk mengukur aplikasi e-leaning tersebut dengan kriteria e-learning yang sesuai. Data kemudian diolah dijadikan dataset. Algoritma yang digunakan dalam implementasi deep learning ini adalah Artificial Neural Network (ANN). Untuk implementasi ANN ditentukan 27 variable yang didapat dari kriteria e-learning dan 1 target, dalam tahapan ANN ini menggunakan prediksi dengan klasifikasi berdasarkan preposesing,training, learning, evaluation dan prediction dengan menggunakan pemogramn python. Hasilnya yang didapat penelitian ini aplikasi moodle mendapatkan nilai tertinggi dengan akurasi 97% untuk dijadikan rekomendasi aplikasi e-learning yang tepat digunakan untuk perguruan tinggi dalam melakukan perkuliahan online

Unduhan

Data unduhan tidak tersedia.

Biografi Penulis

  • Wowon Priatna, Fakultas Ilmu Komputer; Universitas Bhayangkara Jakarta Raya

    Fakultas Ilmu Komputer; Universitas Bhayangkara Jakarta Raya

  • Rakhmat Purnomo , Fakultas Ilmu Komputer; Universitas Bhayangkara Jakarta Raya

    Fakultas Ilmu Komputer; Universitas Bhayangkara Jakarta Raya

  • Tri Dharma Putra , Fakultas Ilmu Komputer; Universitas Bhayangkara Jakarta Raya

    Fakultas Ilmu Komputer; Universitas Bhayangkara Jakarta Raya

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Unduhan

Diterbitkan

2021-09-30

Terbitan

Vol 21 No 3 (2021): September 2021

Bagian

Articles

Cara Mengutip

Implementasi Deep Learning Untuk Rekomendasi Aplikasi E-learning Yang Tepat Untuk Pembelajaran jarak jauh . (2021). Jurnal Kajian Ilmiah, 21(3), 261-274. https://doi.org/10.31599/jki.v21i3.521