PEMANFAATAN METODE NEURAL NETWORK BACKPROPAGATION UNTUK PREDIKSI PENJUALAN EKSPOR PUPUK UREA (STUDI KASUS: PT PUPUK SRIWIJAYA)

WATI, ADELIA PANCA and Jambak, Muhammad Ihsan (2021) PEMANFAATAN METODE NEURAL NETWORK BACKPROPAGATION UNTUK PREDIKSI PENJUALAN EKSPOR PUPUK UREA (STUDI KASUS: PT PUPUK SRIWIJAYA). Undergraduate thesis, Sriwijaya University.

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Abstract

The problem found in this study is the inoptimality in sales so that in this research used mining data to predict the amount of urea fertilizer in the future. The method used is Neural Network Backpropagation. Neural networks are known to have the ability to organize their structural constituents, so they can perform calculations faster and have little fault tolerance. In the analysis of data that will be predicted is helped by using rapidminer. The result of this study is to get the smallest error value by testing several parameters such as; training cycle, learning rate and momentum to predict urea fertilizer export sales data. Keyword: Data Mining, Neural Network Backpropagation, Prediction.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Data mining, Neural Network Backpropagation, Prediksi.
Subjects:	Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76.Z55 Apache Hadoop (Computer file) Electronic data processing--Distributed processing. File organization (Computer science) Data mining. Streaming technology (Telecommunications)
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	Adelia Panca Wati
Date Deposited:	13 Sep 2021 07:35
Last Modified:	13 Sep 2021 07:35
URI:	http://repository.unsri.ac.id/id/eprint/53913

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