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

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

Abstract

The purpose of this study is to recommend e-learning applications that are appropriate for use in online learning in college environments. The large number of e-learning platforms used by lecturers for online lecture activities results in students being forced to use several e-learning applications depending on the lecturer who teaches the courses taken, for the university also finally gives lecturers policies for distance learning reports each finished giving the material. In this study the data collection method began by taking data from the faculty to find out which e-learning applications were widely used by lecturers, then distributing questionnaires to students and lecturers who used the e-learning application to measure the e-leaning application with the e-learning criteria. Appropriate. The data is then processed into a dataset. The algorithm used in implementing deep learning is Artificial Neural Network (ANN). For the implementation of ANN, 27 variables were determined from the e-learning criteria and 1 target. In this ANN stage, prediction was used with classifications based on preparation, training, learning, evaluation and prediction using the python programming. The results obtained in this study that the Moodle application gets the highest score with an accuracy of 97% to be used as a recommendation for e-learning applications that are appropriate for universities to conduct online lectures.

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Author Biographies

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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Published
2021-09-30
How to Cite
Priatna, W., Purnomo , R., & Putra , T. D. (2021). Implementasi Deep Learning Untuk Rekomendasi Aplikasi E-learning Yang Tepat Untuk Pembelajaran jarak jauh . Jurnal Kajian Ilmiah, 21(3), 261 - 274. https://doi.org/10.31599/jki.v21i3.521