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Prediksi Nilai Tukar Dollar (USD) ke Rupiah (IDR) menggunakan Artificial Neural Network

JUSS (Jurnal Sains dan Sistem Informasi) · Vol. 2 No. 1 (2019) · hlm. 1–7

DOI
10.22437/juss.v2i1.6450
ISSN
2614-8277
Terbit
2019-07-31
Penerbit
Prodi Sistem Informasi FST Universitas Jambi
Bahasa
en

Abstrak

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.

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Sumber metadata: OAI-PMH (metadata jurnal) https://online-journal.unja.ac.id/index.php/JUSS/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Prediksi Nilai Tukar Dollar (USD) ke Rupiah (IDR) menggunakan Artificial Neural Network</dc:title>
	<dc:creator xml:lang="en">Saparudin, Ahmad</dc:creator>
	<dc:creator xml:lang="en">Maulidina, Tiya </dc:creator>
	<dc:description xml:lang="en">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.</dc:description>
	<dc:publisher xml:lang="en">Prodi Sistem Informasi FST Universitas Jambi</dc:publisher>
	<dc:date>2019-07-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://online-journal.unja.ac.id/JUSS/article/view/6450</dc:identifier>
	<dc:identifier>10.22437/juss.v2i1.6450</dc:identifier>
	<dc:source xml:lang="en">JUSS (Jurnal Sains dan Sistem Informasi); Vol. 2 No. 1 (2019): Jurnal Sains dan Sistem Informasi; 1-7</dc:source>
	<dc:source>2614-8277</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://online-journal.unja.ac.id/JUSS/article/view/6450/9349</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2019 JUSS (Jurnal Sains dan Sistem Informasi)</dc:rights>
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