%0 Thesis
%9 Skripsi
%A TRI WIJI HASTUTI, NIM. 12651065
%B FAKULTAS SAINS DAN TEKNOLOGI
%D 2016
%F digilib:22246
%I UIN SUNAN KALIJAGA YOGYAKARTA
%K ANN, Backpopagation, History Data Value.
%T SISTEM REKOMENDASI PEMINATAN KONSENTRASI PADA JURUSAN TEKNIK INFORMATIKA MENGGUNAKAN ALGORITMA BACKPROPAGATION
%U https://digilib.uin-suka.ac.id/id/eprint/22246/
%X Selection of the majors concentrations of interest is one of the problems faced by many students. There are many students who have difficulty to find suitabe concentration field based on their interest. That caused many difficulties for determining student thesis topic title. Therefore, steps that can be done is to classify the data history with the goal of providing the best value on the concentration of interest, thus simplifying the selection determines the title of thesis research topic.  This research use the method of Artificial Neural Network by conducting experiments optimal network parameters. Each grade lessons parameter then the data were tried with initial weight has been initialized. Validation was done for the same data and new data were examined from optimal networking gained.  The experiment results using Backpropagation ANN ie 100% on training data, 71% of the data validation, and100% on the test data. Optimal architecture used four input nodes, one hidden layer with 15 nodes hidden layer, and the second output node. The optimal parameters used MSE 0.001; learning rate 0.05; momentum to 0.4; and epoch10000.
%Z Nurochman,S.Kom., M.Kom.