Skripsi

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

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002119	T53913	T539132021	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T539132021

Publisher

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

Collation

xiv, 43 hlm,: ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.650 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)

Jaringan Komunikasi Komputer
Prodi Sistem Informasi

Specific Detail Info

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Statement of Responsibility

MURZ

Other version/related

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