Prediction Of Bogor City Rainfall Parameters Using Long Short Term Memory (LSTM)

Penulis

  • Sherly Amora Jofipasi Universitas Negeri Padang
  • Admi Salma
  • Dodi Vionanda
  • Dina Fitria

DOI:

https://doi.org/10.24036/ujsds/vol1-iss5/110

Kata Kunci:

Long Short Term Memory, Rainfall, Prediction

Abstrak

Bogor is a city that has high rainfall and has erratic rainfall. So it is necessary to predict Bogor's rainfall. Rainfall prediction can be done using the LSTM algorith. In the LSTM algorithm, there are hidden neuron parameters and epochs to produce good results, so it is necessary to predict the best parameters in Bogor rainfall. The prediction parameters results obtained by LSTM have worked well using optimal hidden neuron values of 256, optimal epoch of 150, mape of 1,64, and the comparison of actual data patterns and prediction data already has the same data patterns.

Unduhan

Diterbitkan

2023-11-30

Cara Mengutip

Jofipasi, S. A., Admi Salma, Dodi Vionanda, & Dina Fitria. (2023). Prediction Of Bogor City Rainfall Parameters Using Long Short Term Memory (LSTM). UNP Journal of Statistics and Data Science, 1(5), 434–440. https://doi.org/10.24036/ujsds/vol1-iss5/110

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