Conference SENATIK STT Adisutjipto Yogyakarta
Vol 6 (2020): Keselamatan Penerbangan di masa Pandemi Covid-19 [ISBN 978-602-52742-2-0]

Analisis prakiraan kecepatan angin dengan menggunakan artificial neural network

Afrah Halawani (Sekolah Tinggi Teknologi Adisutjipto)
Sutjianto S (Unknown)
Mardiana Irawaty (Unknown)

Article Info

Publish Date
09 Dec 2020

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%. 

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Journal Info
Conference SENATIK STT Adisutjipto Yogyakarta
Website

Abbrev

senatik

Publisher

Institut Teknologi Dirgantara Adisutjipto

Subject

Aerospace Engineering Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

Description

SENATIK merupakan jurnal proceeding seminar nasional teknologi informasi dan kedirgantaraan yang dikelola Pusat Penelitian,dan Pengabdian kepada Masyarakat (P3M) Sekolah Tinggi Teknologi Adisutjipto Yogyakarta. Jurnal ini diterbitkan dalam jangka waktu setahun sekali, dalam bentuk off line/ buku ...