Neural Network on Stock Prediction using the Stock Prices Feature and Indonesian Financial News Titles

Authors

  • Nur Ghaniaviyanto Ramadhan Telkom University
  • Imelda Atastina Telkom University

DOI:

https://doi.org/10.21108/ijoict.v7i1.544

Keywords:

Stock Prices, Indonesian Financial News Title, Neural Network

Abstract

Stocks are the most popular investments among entrepreneurs or other investors. When investing in stocks these investors tend to learn how to invest stocks correctly and when is the right time. For the problem of how to invest shares correctly can be used a variety of basic theories that already exist, but for the problem when the right time needs further learning. In this paper will purpose about stock price prediction using stock data indicators and financial headline data in Bahasa Indonesia. The machine learning model used is a multi-layer perceptron neural network (MLP-NN) with the highest accuracy produced by 80%.

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References

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Published

2021-07-01

How to Cite

Nur Ghaniaviyanto Ramadhan, & Imelda Atastina. (2021). Neural Network on Stock Prediction using the Stock Prices Feature and Indonesian Financial News Titles. International Journal on Information and Communication Technology (IJoICT), 7(1), 54–63. https://doi.org/10.21108/ijoict.v7i1.544

Issue

Section

Data Science