ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM UNTUK PERAMALAN KECEPATAN ANGIN DI BANDARA JUANDA SURABAYA

UPT. PERPUSTAKAAN Institut Teknologi Sepuluh Nopember Surabaya Kampus ITS Sukolilo - Surabaya 60111
Phone	:	031-5921733 , 5923623
Fax	:	031-5937774
E-mail	:	libits@its.ac.id
Website	:	http://library.its.ac.id
Support (Customer Service) :
timit_perpus@its.ac.id

Welcome..guys!

Have a problem with your access?
Please, contact our technical support below:

LIVE SUPPORT
08.30 s/d 15.30 WIB

Taufik

Dewi

Ansi

Tondo

! ATTENTION !

To facilitate the activation process, please fill out the member application form correctly and completely

Registration activation of our members will process up to 3 x 24 hours (confirm by email). Please wait patiently

Still Confuse?
Please read our User Guide

POLLING

Bagaimana pendapat Anda tentang layanan repository kami ?

Pengunjung hari ini : 456

Total pengunjung : 6590

Hits hari ini : 25303

Total Hits : 91196

Pengunjung Online: 46

• You are connected from 38.107.179.214

OR You May Search Our Knowledges Using Google Customize Search :

Custom Search

Detail Collection

ITS » Undergraduate Theses » Statistika
Posted by dee@its.ac.id at 24/01/2012 09:16:09 • 42 Views

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM UNTUK PERAMALAN KECEPATAN ANGIN DI BANDARA JUANDA SURABAYA

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR FORECASTING THE WIND SPEED IN JUANDA AIRPORT SURABAYA

Created by :
DEWI, ANNISA NOVITA ( 1307100029 )

Subject:	Fuzzy logika
Alt. Subject :	Fuzzy mathematics fuzzy statistics
Keyword:	ANFIS Input Fungsi Keanggotaan RMSE

[ Description ]

Transportasi udara adalah salah satu alat transportasi yang banyak diminati oleh masyarakat karena biaya yang relatif mulai terjangkau dan keefektifan mobilisasi yang tidak menghabiskan banyak waktu. Akan tetapi, tidak dapat dipungkiri bahwa cuaca ekstrim selalu menjadi pokok masalah dalam membahas transportasi udara. Beberapa kecelakaan udara yang sering terjadi, selalu dikaitkan dengan faktor buruknya cuaca (meteorologi). Dengan pemodelan kecepatan angin yang baik, berbagai dampak negatif dapat diminimumkan, mengingat bahwa kecepatan angin memiliki pengaruh besar terhadap perubahan cuaca. Peramalan kecepatan angin dengan metode ANFIS pada penelitian ini menerapkan kombinasi dari pemilihan banyak fungsi keanggotaan, jenis fungsi keanggotaan, dan jenis input yang berbeda. Kombinasi yang menghasilkan RMSE insample paling minimum adalah Zt-1, Zt-18 dengan jenis fungsi keanggotaan Gbell dan banyak fungsi keanggotaan yang digunakan sebanyak 5. Kombinasi yang menghasilkan RMSE outsample 1-tahap dan k-tahap paling minimum adalah Zt-2, Zt-3 dengan jenis fungsi keanggotaan Gauss dan banyak fungsi keanggotaan yang digunakan sebanyak 5. Hasil peramalan menghasilkan kesimpulan bahwa kecepatan angin cenderung masuk dalam kategori angin sedang.

Alt. Description

Air transport is one means of transport are much in demand by the public because the cost are relatively affordable and effective mobilization began that did not spend much time. However, there is no doubt that extreme weather has always been a fundamental problem in discussing air transport. Some of the air crash that often happens is always associated with a factor of bad weather (meteorological). By a good wind speed modeling, a variety of negative impacts can be minimized, given that the wind speed has a major influence on weather changes. Forecasting wind speed with ANFIS method in this study applying a combination of many functions the selection of membership, type of membership functions, and different types of input. Combination that produces the minimum insample RMSE is input Zt-1, Zt-18 with a Gbell type membership functions and number of membership functions are used is 5. Combination that produces the minimum 1-step and k-step outsample RMSE is input Zt-2, Zt-3 with a Gauss type membership functions and number of membership functions are used is 5. Forecasting results lead to the conclusion that the wind speed tends to fall into the middle category.

Contributor	:	Dr. Irhamah, S.Si, M.Si
Date Create	:	24/07/2011
Type	:	Text
Format	:	pdf
Language	:	Indonesian
Identifier	:	ITS-Undergraduate-3100011045153
Collection ID	:	3100011045153
Call Number	:	RSSt 511.313 Dew a

Source :
Undergraduate Thesis of Statistics, RSSt 511.313 Dew a, 2011

Coverage :
ITS Community

Rights :
Copyright @2011 by ITS Library. This publication is protected by copyright and per obtained from the ITS Library prior to any prohibited reproduction, storage in a re transmission in any form or by any means, electronic, mechanical, photocopying, reco For information regarding permission(s), write to ITS Library

Share this information to :

Google Bookmarks | Technorati | Del.icio.us | Digg

[ Free Download - Free for All ]