Network Nerves Mock Backpropagation Prediction Graduation Student Elementary School With Practice Values Exam

Authors

  • Azzahra Rahmawati Sunaryo Universitas PGRI Yogyakarta, Indonesia
  • Nevanda Abelia Universitas PGRI Yogyakarta, Indonesia
  • Tri Hastono Universitas PGRI Yogyakarta, Indonesia
  • Eko Harry Pratisto Curtin University, Australia

DOI:

https://doi.org/10.31316/astro.v2i2.5798

Abstract

The backpropagation method is a computer technique to help predict and sort data. This method is usually used to change the connection between parts of the computer's brain in the hidden layer. Meanwhile, the Nervous System Network (ANN) is an information-processing system that is very similar to the function of human brain cells. Value is a benchmark for a student's graduation, if the student's score is getting better, the more opportunities for the student's graduation. In predicting this pass using the method of Artificial Neural Networks (ANN), namely Backpropagation, and using Matlab software with the MSE (Mean Square Error) result of 0.099512.

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Published

2023-11-30

How to Cite

Rahmawati Sunaryo, A., Abelia, N., Hastono, T., & Pratisto, E. H. (2023). Network Nerves Mock Backpropagation Prediction Graduation Student Elementary School With Practice Values Exam. APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL, 2(2), 73–80. https://doi.org/10.31316/astro.v2i2.5798

Issue

Vol. 2 No. 2 (2023): Applied Science and Technology Research Journal

Section

Articles

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Copyright (c) 2023 Azzahra Rahmawati Sunaryo, Nevanda Abelia, Tri Hastono, Eko Harry Pratisto

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