Article Per Year (5 Year)
p-Index From 2019 - 2024
0.444
P-Index
This Author published in this journals
All Journal Deli Sains Informatika Journal of Telecommunication and Electrical Scientific
Irfan Syahputra
Universitas Harapan Medan
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Deli Sains Informatika

 1 
ANALISIS ALGORITMA BACKPROPAGATION UNTUK MENGIDENTIFIKASI MAHASISWA YANG DROP OUT DARI KAMPUS Irfan Syahputra
Deli Sains Informatika Vol. 1 No. 1 (2021): Artikel Riset 2021
Publisher : LPPM Universitas Deli Sumatera

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Drop-out is a form of failure to follow the students in the educational process at university. The number of students drop out in addition detrimental to the personal / individual, it is also detrimental to higher education institutions themselves. Therefore, it is necessary to study to find the causes or factors that affect student drop-out so it can be useful information for success in higher education. Methods backpropagation artificial neural network is a mathematical model that is used for the identification and classification based training and learning is done. In this study, backpropagation artificial neural network method used in identifying factors - factors causing the drop-out experienced by the students by making learning of the data - the data attributes of students drop out. Backpropagation artificial neural network implementation is done in this study produces good results where backpropagation artificial neural network can produce factors that cause dropouts appropriate to attribute a given student. Keywords:Artificial Intelligence, Artificial Neural Network, Backpropagation, university, High grade student, Drop Out.
Co-Authors Yussa Ananda