PENGUJIAN METODE NEURAL NETWORK BACKPROPAGATION UNTUK MEMPREDIKSI JUMLAH PENUMPANG KERETA API DIVRE III PALEMBANG PADA PERIODE ANGKUTAN LEBARAN

SAFITRI, RAHMAWATI and Jambak, Muhammad Ihsan (2021) PENGUJIAN METODE NEURAL NETWORK BACKPROPAGATION UNTUK MEMPREDIKSI JUMLAH PENUMPANG KERETA API DIVRE III PALEMBANG PADA PERIODE ANGKUTAN LEBARAN. Undergraduate thesis, Sriwijaya University.

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Abstract

Kereta Api Indonesia is one of the transportation service companies that often experiences increases and decreases in the number of passengers that fluctuates every period, especially during the Eid holiday period, in this case it is important that PT KAI (Persero) makes predictions to estimate the needs of the train fleet to transport passengers and avoid transported passengers. The assessment of a Neural Network Backpropagation method is carried out using data on the number of passengers in the Lebaran day-to-day transportation period from 2010-2021 which will give the best error results and prove that it can predict anomaly because 2020 is experiencing covid19. The results of the tests that have been carried out show an error of 6.980% for the normal case and 42.731% for the new normal case which shows that the backpropagation neural network algorithm is able to predict an anomalous condition.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Neural Network Backpropagation, Prediksi jumlah penumpang, Split data, Rapidminer
Subjects:	H Social Sciences > HF Commerce > HF5410-5417.5 Marketing. Distribution of products > HF5415.126.R38 Database marketing--Statistical methods. Data mining--Statistical methods. Big data--Statistical methods. Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76.9.D343 Data mining. Database searching. Big data. Q Science > QA Mathematics > QA8.9-QA10.3 Computer science. Artificial intelligence. Computational complexity. Data structures (Computer scienc. Mathematical Logic and Formal Languages
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	Users 8607 not found.
Date Deposited:	15 Sep 2021 04:15
Last Modified:	15 Sep 2021 04:15
URI:	http://repository.unsri.ac.id/id/eprint/54033

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