Jurnal Mantik
Vol. 6 No. 2 (2022): August: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)

Artificial Neural Networks in Predicting the Number of New Students using the Backprobapication Method : (Case Study: Santo Thomas Catholic University Medan)

Alex Rikki (Universitas Santo Thomas Catholic)
Doni El Rezen Purba (Universitas Santo Thomas Catholic)
Marulak Lasron Siahaan (Universitas Santo Thomas Catholic)
Petrus Leonardi Marpaung (Universitas Santo Thomas Catholic)
Reni Maria Manalu (Universitas Santo Thomas Catholic)

Article Info

Publish Date
03 Aug 2022

Abstract

An artificial neural network is an information processing designed by imitating how the human brain works in solving problems, namely by carrying out the learning process. Backpropagation is one of the algorithms of artificial neural networks that is often used in predicting because it has a good level of accuracy. Uncertainty in the number of registrants at the Catholic University of Santo Thomas, forecasts or predictions are made. The problem formulation of this research is "How to predict new student admissions using an Artificial Neural Network with the Backpropagation method?". The purpose of this study is to find out how many new students there will be in 2022 in order to plan a strategy to find out the ups and downs of the number of new students.

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Journal Info
Jurnal Mantik
Website

Abbrev

mantik

Publisher

Institute Of Computer Science

Subject

Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

Description

Jurnal Mantik (Manajemen, Teknologi Informatika dan Komunikasi) is a scientific journal in information systems/informati containing the scientific literature on studies of pure and applied research in information systems/information technology,Comptuer Science and management science and public ...