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ITS » Undergraduate Theses » Sistem Informasi - S1
Posted by ida at 10/12/2009 16:36:49  •  4456 Views


PREDIKSI LOKASI PENGGUNA PERANGKAT BERGERAK DENGAN MENGGUNAKAN JARINGAN SARAF TIRUAN

MOBILE USER PREDICTION LOCATION USING NEURAL NETWORK

Author :
Rakhmadi, Mohammad Ali ( 5204100054 )




ABSTRAK

Tugas akhir ini mengangkat sebuah topik permasalahan prediksi lokasi pengguna perangkat bergerak dengan menggunakan jaringan saraf tiruan. Sebuah konsep baru yang dikemukakan oleh Kausik Majumdar dan Nabanita Das pada tahun 2005 mengungkapkan bahwa jaringan saraf tiruan dapat mengenali sebuah pola data yang berulang yang dihasilkan dari hasil prediksi lokasi pengguna perangkat bergerak. Pada dasarnya manusia memiliki rutinitas dalam beraktivitas. Jaringan saraf tiruan dengan segala kelebihan dan kekurangannya diharapkan mampu mengenali pola data yang di dapat dari data masukan hasil pengamatan. Dari data tersebut akan menghasilkan keluaran prediksi data dan nilai performa dari jaringan saraf tiruan yang diharapkan. Data prediksi mobilitas dihasilkan secara acak menggunakan perangkat lunak yang ada. Data dihasilkan dengan menggunakan distribusi statistik tertentu. Tugas akhir ini menunjukkan bahwa jaringan saraf tiruan yang diterapkan pada data mobilitas prediksi lokasi tersebut dapat mengenali pola yang ada. Jaringan saraf tiruan dapat melakukan prediksi lokasi melalui data testing dengan tingkat error yang minimum dengan berbagai variasi dari arsitektur dari jarigan saraf tiruan tersebut


ABSTRACT

concept which published by Kausik Majumdar and Nabanita Das in 2005 presenting that neural network can recognize to predict location user from data which has been recorded before. Basicly human has doing some routine activity. That activity is to visit some location regularly. Neural network with its ability can discover to help predict location from data pattern has been created before. Output of this research will recognize data with some minimum error of performance from neural network. Mobile prediction data created randomly using software. Data created with some of distribution to keep possibilities of research. Hopefully this final project could show that neural network can help to predict the location of mobile user from historical data from the past. Neural network in this final project will be tested with varied of architecture.



KeywordsLocation prediction ; Neural network
 
Subject:  Perangkat lunak komputer ; Jaringan syaraf tiruan
Contributor
  1. Mahendrawathi Er, S.T., M.Sc., Ph.D.
    Rully Soelaiman, S.Kom., M.Kom.
Date Create: 10/12/2009
Type: Text
Format: pdf
Language: Indonesian
Identifier: ITS-Undergraduate-3100009035986
Collection ID: 3100009035986
Call Number: RSSI 006.32 Rak p


Source
Undergraduate Theses of DEPARTEMENT OF SYSTEM INFORMATICS ENGINEERING Faculty of Information Technology, RSSI 006.32 Rak p, 2009

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