CD Skripsi

Implementasi Jaringan Syaraf Tiruan Backpropagation Untuk Prediksi Penyediaan Energi Listrik (Studi Kasus Pln Rayon Rumbai)

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Electrical energy is a human need to do all daily activities and for survival.
Electricity supplied to each house is electrical energy provided by the PLN
Distribution Unit to meet the electricity needs of the environment / area so it is
necessary to predict the supply of electrical energy to assist the PLN Distribution
Unit in determining policies. This study applies the backpropagation algorithm to
determine the supply of electrical energy with 6 variables, namely the amount of
electricity for social users, the amount of electricity for household users, the
amount of electricity for business users, the amount of electricity for industrial
users, the amount of electricity for government users and the amount of electricity
for special services. This study uses 67 data with the division of training data and
test data that is 90%: 10%, 80%: 20% and 70%: 30% of 67 data. This study also
uses several parameters namely learning rate (α) 0.1 to 0.9, maximum epoch 50
and neurons hidden 6. The results of the test show the highest average prediction
accuracy of 100,49% at 90%: 10% data sharing, hidden neurons 6, learning rate
(α) of 0.8 and the number of epoch 105 and testing of Mean Square Error (MSE)
of 0.00009.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

03 05.120 (0027)

Penerbit

Pekanbaru : Universitas Riau - FMIPA - Sistem Informasi., 2020

Deskripsi Fisik

xiv, 87 hlm.: ill.: 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

03 05.120 (0027)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SISTEM INFORMASI

Info Detail Spesifik

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Pernyataan Tanggungjawab

ELFITRA

Versi lain/terkait

Lampiran Berkas

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