Implementasi Model Fungsi Transfer dan Neural Network untuk Meramalkan Harga Penutupan Saham (Close Price)
on
Authors:
Nila Rahmawati, Trianingsih Eni Lestari
Abstract:
“The multivariate forecasting model is a model of forecasting that takes into the causal relationship between a prediction factor with one or more independent variables. This study uses multivariate forecasting model that are transfer function and neural network model. The transfer function and neural network model are used for forecasting of closing stock price data by considering the opening stock price data as the independent variable in the forecasting model. The data used in this study is the monthly closing stock price and opening stock price data of PT. Bank Central Asia, Tbk. The best model for forecasting of closing stock price is a transfer function model that has MSE, MAPE, and MAE values ??smaller than the neural network model. Keywords: transfer function, neural network, opening stock price, closing stock price”
Keywords
transfer function, neural network, opening stock price, closing stock price
Downloads:
Download data is not yet available.
References
References Not Available
PDF:
https://jurnal.harianregional.com/jmat/full-42263
Published
2019-06-30
How To Cite
RAHMAWATI, Nila; LESTARI, Trianingsih Eni. Implementasi Model Fungsi Transfer dan Neural Network untuk Meramalkan Harga Penutupan Saham (Close Price).Jurnal Matematika, [S.l.], v. 9, n. 1, p. 11-25, june 2019. ISSN 2655-0016. Available at: https://jurnal.harianregional.com/jmat/id-42263. Date accessed: 02 Jun. 2025. doi:https://doi.org/10.24843/JMAT.2019.v09.i01.p107.
Citation Format
ABNT, APA, BibTeX, CBE, EndNote - EndNote format (Macintosh & Windows), MLA, ProCite - RIS format (Macintosh & Windows), RefWorks, Reference Manager - RIS format (Windows only), Turabian
Issue
Vol 9 No 1 (2019)
Section
Articles
Copyright
This work is licensed under a Creative Commons Attribution 4.0 International License
Discussion and feedback