Prediksi Curah hujan di Kota Pekanbaru Menggunakan lSTM (Long Short Term Memory)

  • Yos Hendra Universitas Muhammadiyah Riau
  • Harun Mukhtar Universitas Muhammadiyah Riau
  • Baidarus Universitas Muhammadiyah Riau
  • Rizka Hafsari Universitas Muhammadiyah Riau
Keywords: Prediction, Rainfall, Long Short Term Memory

Abstract

Based on data obtained from BMKG Pekanbaru City in 2010-2020 there was an increase and
decrease in the intensity of rainfall that occurred in Pekanbaru city. The increase in rainfall in the
city of Pekanbaru will cause problems such as the occurrence of flooding of several roads and several
areas in the city of Pekanbaru and the occurrence of other unexpected disasters that will cause
problems and experience difficulties. In overcoming this problem, research was conducted in the form
of Rainfall Prediction in Pekanbaru City Using LSTM (Long Short Term Memory) using 2 methods,
namely in finding the accuracy of the error rate using RMSE (Root Mean Square Error) and MSE
(Mean Square Error). The results showed that the predictions made were quite good. With the lowest
error rate of 21,328 in the train and 454,901 in the test, the composition of the train data and the test
data half gave the best results.

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https://pekanbaru.go.id/p/hal/wilayah-geografis

Published
2023-08-24
How to Cite
Hendra, Y., Mukhtar, H., Baidarus, & Hafsari, R. (2023). Prediksi Curah hujan di Kota Pekanbaru Menggunakan lSTM (Long Short Term Memory). Journal of Software Engineering and Information System (SEIS), 3(2), 74-81. https://doi.org/10.37859/seis.v3i2.5606
Section
Articles
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