Skripsi

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

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002232	T54033	T540332021	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T540332021

Publisher

Inderalaya : Fakultas Ilmu Komputer, Prodi Sistem Informasi., 2021

Collation

xviii, 53 hlm,: ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.360 7

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Prodi Sistem Informasi
Program untuk Komputer Personal-Sistem Informasi

Specific Detail Info

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Statement of Responsibility

MURZ

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