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Expert System of Diagnosing Building Damage due to Earthquake using Backpropagation Artificial Neural Network Method

bstract Earthquake is one of the most destructive natural disasters. After the earthquake, experts were deployed to survey the damage that occurred. One of the main objectives of the assessment task carried out by experts is to evaluate and classify buildings into several categories based on the level of damage that occurs. In this study, an expert system that could facilitate the assessment of building damage due to the earthquake was made using Backpropagation neural network method. The testing techniques used in this system are blackbox, accuracy and Mean Opinion Score (MOS) testing. MOS testing conducted by 30 respondents produced an MOS value of 4.54 from a scale of 5. While the average accuracy of the system obtained is 82.22% of the 30 case cases tested by 3 building damage experts.

Ketersediaan
2019224Tersedia
Informasi Detail
Judul Seri
-
No. Panggil
-
Penerbit
Universitas Mataram : Fakultas Teknik Unram.,
Deskripsi Fisik
xii; 53 Hlm; illus; 21x29 cm
Bahasa
Indonesia
ISBN/ISSN
-
Klasifikasi
NONE
Tipe Isi
other
Tipe Media
computer
Tipe Pembawa
audio disc
Edisi
-
Subjek
System of Diagnosing
Earthquake, Building Damage
Expert System, Artificial Neural Network, Backprop
Info Detail Spesifik
System of Diagnosing Building Damage due to Earthquake using Backpropagation Artificial Neural Network Method
Pernyataan Tanggungjawab
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