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Sainstek (e-journal)
Article . 2021 . Peer-reviewed
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Sainstek (e-journal)
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Analisis Penelusuran Banjir Menggunakan Jaringan Saraf Tiruan Pada Sungai Indragiri (Studi Kasus Ruas Pulau Berhalo – Peranap)

Authors: Fauzan Mahdinal; Manyuk Fauzi; Tri Maijoni;

Analisis Penelusuran Banjir Menggunakan Jaringan Saraf Tiruan Pada Sungai Indragiri (Studi Kasus Ruas Pulau Berhalo – Peranap)

Abstract

Penelusuran Banjir di wilayah Riau dipengaruhi oleh salah satu faktor yaitu tinggi muka air pada wilayah sungai, pengolahan data tinggi muka air menggunakan program Jaringan Saraf Tiruan dengan Metode Backpropagation. Pengolahan data tinggi muka air yang dilakukan adalah memprediksi muka air yang ada dibagian hilir dengan menggunakan data tinggi muka air dibagian hulu dan data tinggi muka air bagian hilir. Metode Backpropagation mampu menghasilkan pengolahan data yang berkorelasi antara data input dan data target. Hal ini dapat dilihat selama proses pelatihan, pengujian dan validasi data. Perancangan atau pemodelan jaringan saraf tiruan menggunakan program MATLAB, adapun parameter yang digunakan yaitu Epoch, lr atau learning rate, dan nilai momentum atau mc. Data yang digunakan sebanyak 2550 data tinggi muka air dari tahun 2010-2016 dengan pengelompokan data menjadi 70% sebagai data pelatihan dan 30% sebagai data pengujian serta data validasi sebanyak 100%, dalam pengujian aplikasi ini diperoleh hasil prediksi yang keandalannya kurang bagus karna nila RMSE yang terlalu besar maka dengan itu dilakukan transformasi data ke dalam bentuk Logaritma, data pengolahan hasil logaritma mampu menurunkan nilai RMSE yang lumaya bagus akan tetapi korelasi antara data di hulu dan data di hilir sangat signifikan sehingga mempengaruhi hasil prediksi.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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