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ANALISIS PERBANDINGAN METODE JARINGAN SARAF TIRUAN ADALINE (ADAPTIVE LINEAR NEURON) DAN BACKPROPAGATION DALAM PREDIKSI KASUS COVID-19 KOTA PALEMBANG. 

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The surge in COVID-19 cases in the city of Palembang and the ease of obtaining information about the number of COVID-19 patients can be used as a testing tool in comparing methods with predictive systems. One of the predictive systems that can be used to process this data is artificial neural networks. In artificial neural networks, predictive systems can be implemented using the backpropagation method and adaline. The backpropagation method falls under supervised learning and has multiple layers, whereas the adaline method also falls under supervised learning but has a single layer. From the experimental results, the predictive system produced an error rate using MAPE of 55% in the backpropagation method with configuration parameters of a learning rate of 0.2, momentum of 0.01, and 100 epochs. Meanwhile, the adaline method resulted in 157% error with configuration parameters of a learning rate of 0.13 and 1000 iterations.

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2307006180T129299T1292992023Central Library (Referens)Available
Detail Information
Series Title
-
Call Number
T1292992023
Publisher
Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya.,
Collation
v, 77 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
005.107
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Prodi Teknik Informatika
Identifikasi Sistem
Specific Detail Info
-
Statement of Responsibility
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