PENERAPAN ARTIFICIAL NEURAL NETWORK UNTUK MENDUGA PROGRAM STUDI DI UNIVERSITAS UDAYANA BERDASARKAN NILAI RAPOR

Abstract

This research aims to develop an artificial neural network-based estimation system to predict the suitable study program at Udayana University for high school students in Denpasar City based on their report cards. The research is divided into four stages: system overview, user interface design, implementation of the artificial neural network in the system, and system testing. System testing results on report card data for science and social science classes demonstrate that the developed model has good accuracy with an error rate below 7%.

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Author Biographies

I PUTU BAYU SULAKSANA PUTRA, Universitas Udayana

Program studi Matematika, Fakultas MIPA – Universitas Udayana

I PUTU EKA N. KENCANA, Universitas Udayana

Program studi Matematika, Fakultas MIPA – Universitas Udayana

LUH PUTU IDA HARINI, Universitas Udayana

Program studi Matematika, Fakultas MIPA – Universitas Udayana

Published
2023-05-31
How to Cite
PUTRA, I PUTU BAYU SULAKSANA; KENCANA, I PUTU EKA N.; HARINI, LUH PUTU IDA. PENERAPAN ARTIFICIAL NEURAL NETWORK UNTUK MENDUGA PROGRAM STUDI DI UNIVERSITAS UDAYANA BERDASARKAN NILAI RAPOR. E-Jurnal Matematika, [S.l.], v. 12, n. 2, p. 149-154, may 2023. ISSN 2303-1751. Available at: <https://ojs.unud.ac.id/index.php/mtk/article/view/100370>. Date accessed: 21 nov. 2024. doi: https://doi.org/10.24843/MTK.2023.v12.i02.p412.
Section
Articles

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