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ITS » Undergraduate Theses » Teknik Informatika Ekstensi - S1
Posted by kukuh007 at 12/01/2010 16:08:18  •  3567 Views


IMPLEMENTASI PEMODELAN ARTIFICIAL NEURAL NETWORKS ANN DALAM PREDIKSI DATA TIME SERIES PENJUALAN STUDI KASUS PT. VARIA USAHA BETON

ARTIFICIAL NEURAL NETWORKS ANN MODELING IMPLEMENTATION IN TIME SERIES DATA FORECASTING CASE STUDY PT. VARIA USAHA BETON

Author :
BUWANA, ATHUR ADHI 




ABSTRAK

Peramalan merupakan hal terpenting dalam dunia bisnis saat ini. Berbagai metode telah dikembangkan dan masing-masing memiliki keandalan dan kelemahan sendiri-sendiri. Penjualan beton siap pakai PT. Varia Usaha merupakan data time series yang perlu dilakukan peramalan karena akan membantu pihak manajemen dalam menentukan kebijakankebijakan strategis di masa yang akan datang. Dalam penelitian ini data yang berasal dari Kantor Cabang Surabaya akan dianalisis menggunakan ANN Artificial Neural Network. Sebelum dilakukan analisa dengan ANN data time series penjualan akan dinormalisasikan dengan metode Moving Average. Dari hasil uji coba didapatkan besarnya penjualan beton siap pakai untuk beberapa bulan ke depan.


ABSTRACT

Forecasting is the important thing in the business world at this time. Various methods have been developed and their reliability and have their own weaknesses. Sales of ready concrete PT. Varia Usaha is the time series data that needs to be analyzed because the forecasting will help the management in determining the strategic policies in the future. In this research data coming from the Branch Office Surabaya akan analyzed using ANN Artificial Neural Network. Prior to analysis with the ANN time series sales data will be normalized by the Moving Average method. From the results of the testing found the large concrete sales ready for several months



KeywordsSyaraf tiruan
 
Subject:  Data Time Series ANN; Moving Average
Contributor
  1. Chastine Fatichah, S.Kom, M.Kom
Date Create: 12/01/2010
Type: Text
Format: pdf
Language: Indonesian
Identifier: ITS-Undergraduate-3100009036518
Collection ID: 3100009036518
Call Number: RSIf 006.32 Buw i


Source
Undergraduate Theses, Informatic Engineering, RSIf 006.32 Buw i, 2009

Coverage
ITS Community Only

Rights
Copyright @2009 by ITS Library. This publication is protected by copyright and permission should be obtained from the ITS Library prior to any prohibited reproduction, storage in a retrievel system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording, or likewise. For information regarding permission(s), write to ITS Library




[ Download - Open Access ]

  1.  ITS-Undergraduate-7436-5102109044-kesimpulan.pdf - 67 KB




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