Prediksi Curah hujan di Kota Pekanbaru Menggunakan lSTM (Long Short Term Memory)
Universitas Muhammadiyah Riau, Yos Hendra, Harun Mukhtar, Universitas Muhammadiyah Riau, Baidarus Baidarus, Universitas Muhammadiyah Riau, Rizka Hafsari, Universitas Muhammadiyah Riau · Journal of Software Engineering and Information Systems · 2021
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.