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All Journal Conference SENATIK STT Adisutjipto Yogyakarta
Afrah Halawani
Sekolah Tinggi Teknologi Adisutjipto
Aerospace Engineering Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Analisis prakiraan kecepatan angin dengan menggunakan artificial neural network Afrah Halawani; Sutjianto S; Mardiana Irawaty
SENATIK STT Adisutjipto Vol 6 (2020): Keselamatan Penerbangan di masa Pandemi Covid-19 [ISBN 978-602-52742-2-0]
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v6i0.424

Abstract

Prediction is one of the most important techniques in determining the resulting wind speed. The decision to predict is very important, because with predictions can calculate the average wind speed and a good prediction is an accurate prediction. The purpose of this research is to predict the wind speed using the neural network model to determine the wind speed in the following year. To predict wind speed, the author builds a wind speed prediction model using an artificial neural network (ANN) with a backpropagation learning algorithm. The scope of research data collection from BMKG Sleman. Therefore we need a method that is better than the load coefficient method. The results of this study show that the predictions of ANN wind speed in 2019 from January to December are close to the default data from the BMKG. Sleman and stay stable. And the average error percentage of ANN is 5%. 
Co-Authors Irawaty, Mardiana Sutjianto S