JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Vol 9 No 4 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)

Prediksi Curah Hujan di Kota Ambon Menggunakan Metode Backpropagation

Gilbert Leliak (Unknown)



Article Info

Publish Date
13 Dec 2022

Abstract

An artificial neural network system with a backpropagation method can be used to predict next year's precipitation rainfall based on studies in previous three-year precipitation data by using output errors to calibrate the output to get the desired result. Research is using backpropagation methods to predict rainfall in the city of Ambon. The training data shows that the 2020 training data forecasts using 2019 data equals the 2020 precipitation data because it can be said that the training data has 100% accuracy. Using a system on the training data done data testing for 2021 predictions by using 2020 data it is close to 2021 precipitation data with an accuracy of 80% with an MSE = 0.070945. Thus, a 2022 precipitation prediction can be expected to have 90% accuracy from the average accuracy of training data and testing data.

Copyrights © 2022






Journal Info

Abbrev

jatisi

Publisher

Subject

Computer Science & IT

Description

JATISI bekerja sama dengan IndoCEISS dalam pengelolaannya. IndoCEISS merupakan wadah bagi para ilmuwan, praktisi, pendidik, dan penggemar dalam bidang komputer, elektronika, dan instrumentasi yang menaruh minat untuk memajukan bidang tersebut di Indonesia. JATISI diterbitkan 2 kali dalam setahun ...