THE APPLICATION OF FUZZY TIME SERIES SINGH FOR FORECASTING BANDWIDTH NETWORK DEMAND
Main Authors: | Aryanti, Aryanti, Mekongga, Ikhthison |
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Format: | Article PeerReviewed Book |
Bahasa: | eng |
Terbitan: |
, 2015
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Subjects: | |
Online Access: |
http://eprints.polsri.ac.id/4752/1/paper_6.pdf http://eprints.polsri.ac.id/4752/ |
ctrlnum |
4752 |
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fullrecord |
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07.00 am - 06.00 pm from Monday to Saturday in odd semester of Academic Year 2011/2012. Next, the data were processed by fuzzy time series Singh in order to get forecasted data. Then, the forecasted data were compared to the actual data in order to get validity of the data. The forecasted data using fuzzy time series Singh was nearly precise to the actual data with mean absolute percentage error of 8.523 %.</description><date>2015-08-19</date><type>Journal:Article</type><type>PeerReview:PeerReviewed</type><type>Book:Book</type><language>eng</language><identifier>http://eprints.polsri.ac.id/4752/1/paper_6.pdf</identifier><identifier> Aryanti, Aryanti and Mekongga, Ikhthison (2015) THE APPLICATION OF FUZZY TIME SERIES SINGH FOR FORECASTING BANDWIDTH NETWORK DEMAND. Proceeding of International Conference on Electrical Engineering Computer Science and Informatics (EECSI), 2. pp. 13-14. </identifier><recordID>4752</recordID></dc>
|
language |
eng |
format |
Journal:Article Journal PeerReview:PeerReviewed PeerReview Book:Book Book |
author |
Aryanti, Aryanti Mekongga, Ikhthison |
title |
THE APPLICATION OF FUZZY TIME SERIES SINGH FOR FORECASTING BANDWIDTH NETWORK DEMAND |
publishDate |
2015 |
topic |
TK Electrical engineering. Electronics Nuclear engineering |
url |
http://eprints.polsri.ac.id/4752/1/paper_6.pdf http://eprints.polsri.ac.id/4752/ |
contents |
The purpose of this research is to develop information system which forecast bandwidth network demand by using Fuzzy time series Singh. Data were taken in State Polytechnic of Sriwijaya during learning hour starting from
07.00 am - 06.00 pm from Monday to Saturday in odd semester of Academic Year 2011/2012. Next, the data were processed by fuzzy time series Singh in order to get forecasted data. Then, the forecasted data were compared to the actual data in order to get validity of the data. The forecasted data using fuzzy time series Singh was nearly precise to the actual data with mean absolute percentage error of 8.523 %. |
id |
IOS15200.4752 |
institution |
Politeknik Negeri Sriwijaya |
institution_id |
186 |
institution_type |
library:university library |
library |
Perpustakaan Politeknik Negeri Sriwijaya |
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333 |
collection |
Perpustakaan Politeknik Negeri Sriwijaya |
repository_id |
15200 |
city |
KOTA PALEMBANG |
province |
SUMATERA SELATAN |
repoId |
IOS15200 |
first_indexed |
2021-08-25T09:31:52Z |
last_indexed |
2021-08-25T09:31:52Z |
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17.538404 |