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Prediksi Pengguna Bus Trans SARBAGITA dengan Metode Adaptive Neuro-Fuzzy Inference System

Ir. I Putu Eka Nila Kencana, MT, I Putu Eka Nila Kencana (2013) Prediksi Pengguna Bus Trans SARBAGITA dengan Metode Adaptive Neuro-Fuzzy Inference System. E - Jurnal Matematika, 2 (3). ISSN 2303-1751

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Abstract

Trans Sarbagita is a public transportation services people at Denpasar, Badung, Gianyar and Tabanan. Trans Sarbagita is aimed to resolve a problems caused by accretion volume of vehicles in Bali. This study conducted to forecast the number of Trans Sarbagita passengers in 2013 using ANFIS. The ANFIS system composed by five layers where each layers has a different function and its divide in two phases, i.e. forward and backward phases. The ANFIS uses a hybrid learning algorithm which is a combination of Least Squares Estimator (LSE) on forwards phases and Error Backpropagation (EBP) on the backward phases. The results show, ANFIS with six inputs with M.F of Pi produces smallest error, compared to seven and eight input and M.F gauss and generalizedbell. Forecast of Trans Sarbagita passenger numbers in 2013 have to fluctuated every day and the average of passenger’s Trans Sarbagita for a day is 1627 passengers with MSE equal to 10210 and MAPE is 4.01%.

Item Type: Article
Uncontrolled Keywords: ANFIS, fuzzy inference system, Error backpropagati
Subjects: L Education > L Education (General)
Divisions: Faculty of Law, Arts and Social Sciences > School of Education
Depositing User: Mr. Repository Admin
Date Deposited: 07 Jun 2016 21:58
Last Modified: 21 Jun 2016 05:58
URI: http://erepo.unud.ac.id/id/eprint/5465

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