Zaki, Muhammad (2019) PERILAKU METODE JARINGAN SYARAF TIRUAN DALAM MENGANALISA DAYA DUKUNG BATAS DAN PENURUNAN PADA PONDASI TIANG BOR (BORED PILE). Doctoral thesis, UNDIP.

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Abstract

Artificial Neural Network (ANN) is better known as Artificial Neural Network method is now
more often applied in calculations or analyzes in the field of geotechnical. ANN can analyze with
at least data input and data input that is not related to each other. ANN method used with
multilayer Back-propagation Feed-forward algorithm with input variable Geometry of
Foundation, Concrete Quality, Soil Investigation and PDA Inputs are Ø, Lp, Le, A, f'c, BTA, f
(c), Nshaft, Np and P. This research is expected to get Rank Indek (RI) and RMSE value <1, so
the research model can be compared with PDA (Pile Driving Analyzer) and conventional
formula to calculate ultimate bearing capacity and settlement. Significance level on variable Pile
Integrity ranges from ± 20.5% and the significance level for Lp, Le, D, A, f (c), Nshaft and Ntip
variables ranges from 15% to 28.%.
Keywords : Artificial Neural Network, Pile Driving Analyzer, Back-propagation

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