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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA
Jamilatul Badriyah
Politeknik Elektronika Negeri Surabaya, Surabaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Prediksi Curah Hujan Menggunakan Long Short Term Memory Jamilatul Badriyah; Arna Fariza; Tri Harsono
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4008

Abstract

The importance of predicting rainfall in fields that require rainfall information such as in agriculture, transportation and industry. Prediction of rainfall with statistics is done to solve the problems of this paper, thus this paper proposes prediction of rainfall using Long Short Term Memory in the case study: Surabaya City. The data used is rainfall data at two Surabaya stations, namely the Perak Meteorological Station I and the Tanjung Perak Maritime Meteorology Station from 2015 to 2020. The prediction test was carried out using the Long Short Term Memory algorithm with accuracy measurement results MSE 0.489, MAE 0.537 and R2 0.497. from these results prove that the Long Short Term Memory algorithm is better than previous studies.
Co-Authors Arna Fariza Tri Harsono