Studi Kepustakaan: Pengenalan 4 Algoritma Pada Pembelajaran Deep Learning Beserta Implikasinya

Authors

  • Jamiah Nurhakiki Universitas Islam Negeri Sumatera Utara
  • Yahfizham Yahfizham Universitas Islam Negeri Sumatera Utara

DOI:

https://doi.org/10.51903/pendekar.v2i1.598

Keywords:

Deep Learning, CNN, RNN, LSTM, SOM

Abstract

In the past few years, deep learning has been very popular among IT users. Deep learning is one of the machine learning parts of artificial intelligence (AI). Deep learning has several algorithms in it. So in this paper, we will explain basically about four algorithms owned by deep learning, namely: CNN, RNN, LSTM and SOM along with an explanation of the application of the algorithm. With the explanation, it is hoped that some IT users can understand deep learning algorithms and their implications for work or applications.

References

Ahmad Hania, A. (2017). Mengenal Artificial Intelligence, Machine Learning, & Deep Learning. Jurnal Teknologi Indonesia, 1(June), 1–6. https://amt-it.com/mengenal-perbedaan-artificial-inteligence-machine-learning-deep-learning/

Baay, M. N., Irfansyah, A. N., & Attamimi, M. (2021). Sistem Otomatis Pendeteksi Wajah Bermasker Menggunakan Deep Learning. Jurnal Teknik ITS, 10(1). https://doi.org/10.12962/j23373539.v10i1.59790

Giarsyani, N. (2020). Komparasi Algoritma Machine Learning dan Deep Learning untuk Named Entity Recognition : Studi Kasus Data Kebencanaan. Indonesian Journal of Applied Informatics, 4(2), 138. https://doi.org/10.20961/ijai.v4i2.41317

Kirom, F. (2016). Studi Literatur : Macam-Macam Metode Mengunakan Pendekatan Deep Learning dan Contoh Penerapanya. UTS Metodologi Penelitian Semester Genap, 20, 17.

Martanto, M., Ali, I., & Mulyawan, M. (2019). Prediksi Tingkat Kelulusan Mahasiswa Menggunakan Machine Learning dengan Teknik Deep Learning. Jurnal Informatika: Jurnal Pengembangan IT, 4(2–2), 191–194. https://doi.org/10.30591/jpit.v4i2-2.1877

Maulana, G. G. (2017). Pembelajaran Dasar Algoritma Dan Pemrograman Menggunakan El-Goritma Berbasis Web. Jurnal Teknik Mesin, 6(2), 8. https://doi.org/10.22441/jtm.v6i2.1183

Nurmani, S., Darmawahyuni, A., Sapitri, A. I., Rachmatullah, M. N., Firdaus, & Tutuko, B. (2021). Peengenalan Deep Learning dan Implementasinya. 137.

Nury, L., Afida, I., Putra, I., Azizah, I., Nabawi, S., & Alifia, A. (2021). Pembelajaran Mesin Lanjut Forecasting Temperature Menggunakan LSTM. 1–6. www.wunderground.com.

Raup, A., Ridwan, W., Khoeriyah, Y., Supiana, S., & Zaqiah, Q. Y. (2022). Deep Learning dan Penerapannya dalam Pembelajaran. JIIP - Jurnal Ilmiah Ilmu Pendidikan, 5(9), 3258–3267. https://doi.org/10.54371/jiip.v5i9.805

Ritayani. (2021). Pengantar Algoritma Dan Pemrograman. Osf Preprints, 4(1), 88–100. https://osf.io/bx59t/

Wira, J., & Putra, G. (2014). Pengenalan Konsep Pembelajaran Mesin dan Deep Learning Edisi 1.4 (Vol. 4).

Yayat Rahmat Hidayat, Perguruan, P., & Tinggi, T. et al. (2020). Pengenalan Algoritma Pada Pembelajaram Pemrograman Komputer. Angewandte Chemie International Edition, 6(11), 951–952., 4(March), 763–773.

Zuraiyah, T. A., Utami, D. K., & Herlambang, D. (2019). Implementasi Chatbot Pada Pendaftaran Mahasiswa Baru Menggunakan Recurrent Neural Network. Jurnal Ilmiah Teknologi Dan Rekayasa, 24(2), 91–101. https://doi.org/10.35760/tr.2019.v24i2.2388

Downloads

Published

2024-01-08

How to Cite

Jamiah Nurhakiki, & Yahfizham Yahfizham. (2024). Studi Kepustakaan: Pengenalan 4 Algoritma Pada Pembelajaran Deep Learning Beserta Implikasinya. Pendekar : Jurnal Pendidikan Berkarakter, 2(1), 270–281. https://doi.org/10.51903/pendekar.v2i1.598

Most read articles by the same author(s)