Open AccessPrediksi Nilai Tukar Dollar (USD) ke Rupiah (IDR) menggunakan Artificial Neural Network
Author(s) -
Ahmad Saparudin,
Tiya Maulidina
Publication year - 2019
Publication title -
juss (jurnal sains dan sistem informasi)
Language(s) - English
Resource type - Journals
ISSN - 2614-8277
DOI - 10.22437/juss.v2i1.6450
Subject(s) - artificial neural network , python (programming language) , exchange rate , liberian dollar , us dollar , indonesian , machine learning , artificial intelligence , computer science , economics , finance , operating system , linguistics , philosophy
Prediction (forecasting) is the activity of predicting events in the future. In terms of business forecasting has many uses, especially for the leadership of the company one of them i.e. to define its business strategy in the future. In this research, carried out the predictions of exchange rates dollar (USD) to Indonesian rupiah (IDR) on 11/03/2019 - 15/03/2019 using artificial neural networks (ANN) with a training dataset from 01/01/2018 - 08/03/2019. Establishment of ANN in the study formed in the Python programming language. Based on the research conducted, a decrease in the price of the exchange rate of USD to IDR on 11/03/2019 – 15/03/2019.