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All Journal Komunikasi Fisika Indonesia
Wima Puspita
Universitas Riau
Earth & Planetary Sciences Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Physics

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PREDIKSI KADAR PARTICULATE MATTER (PM10) MENGGUNAKAN JARINGAN SYARAF TIRUAN DI KOTA PEKANBARU Wima Puspita; Defrianto Defrianto; Yan Soerbakti
Komunikasi Fisika Indonesia Vol 18, No 1 (2021)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.18.1.1-4

Abstract

This aims of this study is to predict particulate matter (PM10) levels in Pekanbaru using back propagation artificial neural networks (ANN) based on weather factors. The data used in the form of data from 2014 – 2017 as training data and 2018 data as test data. The architecture proposed is composed of 5 – 5 – 1 neurons and uses the logig-logsig-purelin functions. The training process produces a traincgb with a small MSE value and in the process of testing the PM10 prediction compared to BMKG data has an average error of 26.9062%.
Co-Authors Defrianto Defrianto Yan Soerbakti