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Hendra Prasetyanwar
Telkom University
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Journal : eProceedings of Engineering

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Peramalan Nilai Tukar Idr-usd Menggunakan Long Short Term Memory Hendra Prasetyanwar; Jondri Jondri
eProceedings of Engineering Vol 5, No 2 (2018): Agustus 2018
Publisher : eProceedings of Engineering

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Abstract

Abstrak Penelitian ini bertujuan untuk mengetahui performansi dari jaringan saraf tiruan rekuren model Long Short Term Memory. Data yang digunakan untuk training jaringan saraf tiruan oleh penelitian ini adalah kurs tengah dari rupiah terhadap dolar tahun 2016-2017. Lalu untuk data testing menggunakan kurs tengah dari rupiah terhadap dolar tahun 2018 bulan Januari dan Februari. Kata kunci : kurs tengah, prediksi, long short term memory (LSTM), mean squared error (MSE) Abstract This study aims to determine the performance of recurrent neural network model Long Short Term Memory. The data used for training artificial neural networks by this study is the middle rate of rupiah against the dollar in 2016- 2017. Then for data testing using the middle rate of rupiah against the dollar in 2018 in January and February. Keywords: middle rate, prediction, long short term memory (LSTM), mean squared error (MSE)
Co-Authors Jondri Jondri