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ITS » Undergraduate Theses » Teknik Informatika
Posted by ansi@its.ac.id at 09/01/2015 23:21:07  •  1090 Views


REPLACE RANCANG BANGUN SISTEM REKOMENDASI BERBASIS KOLABORASI ANTAR PENGGUNA PERANGKAT BERGERAK DENGAN MEKANISME PENCOCOKAN PROFIL

REPLACE DEVELOPMENT AND DESIGN OF RECOMMENDER SYSTEM BASED ON MOBILE USER COLLABORATION USING PROFILE MATCHING MECHANISM

Author :
ICHWAN, RIZKY NOOR  ( 5109100090 )




ABSTRAK

Era perkembangan teknologi informasi yang kian pesat seringkali membuat pengguna dihadapkan dengan banyaknya informasi yang diperoleh namun tidak sesuai dengan kebutuhannya. Terlebih hasil informasi yang didapat dari pengguna lain seperti poin penilaian dari hasil ulasan belum tentu sepenuhnya tepat untuk masing-masing orang. Dalam Tugas Akhir ini dibangun suatu sistem rekomendasi pilihan tempat-tempat terdekat dari posisi pengguna dengan memanfaatkan profile and preference matching untuk membantu pengguna dalam menentukan penilaian hasil ulasan suatu tempat yaitu RePlace Recommended Places. Sistem dibangun dengan rangkain blok modul kerja framework yang terdiri dari modul pembanding antar atribut fungsi pengambilan keputusan normalisasi data komunikasi HTTP dan modul-modul pendukung lainnya. Sistem melakukan proses perbandingan nilai atribut profil dan preferensi antar pengguna dengan pendekatan berbasis sintaks untuk mengatasi nilai atribut yang mengalami kesalahan gramatikal dalam proses pemasukan data oleh pengguna. Sistem telah berhasil diimplementasikan dan dilakukan serangkaian uji coba. Uji coba performa dilakukan dengan mengetahui waktu respon yang dibutuhkan oleh client untuk mendapatkan hasil request dari server dan performa rendering antarmuka dengan dua jenis tampilan yang berbeda. Selain itu juga dilakukan uji coba kasus untuk mengetahui pengaruh bobot dari tiap atribut pada suatu jenis pencarian tempat beserta proses komputasi yang terjadi. Dari hasil uji coba performa didapat penurunan tren waktu respon terjadi secara tidak eksponensial seiring peningkatan jumlah client dan penyampaian informasi yang lengkap pada antarmuka membutuhkan waktu yang lebih lama pada proses rendering dibanding pada tampilan plain mode. Selain itu bobot atribut memiliki pengaruh pada proses profile and preference matching dalam memberikan rekomendasi pada suatu jenis pencarian tempat. Dengan demikian tiap jenis pencarian tempat memiliki bobot atribut yang berbeda-beda sesuai dengan kondisinya masing-masing.


ABSTRACT

Todays technology makes us easier to retrieve information anytime and anywhere. But most users currently facing problem with the overload of information which is not relevant to the users need. Most review system which provide any users to give feedbacks based on their experiences can be not relevant for other people because they may have different preferences. In this final project a recommender system based on location has been developed by considering profiles and preferences to help user get an additional value from the places review called RePlace Recommended Places. The system has been developed as a framework composed of several modules like attribute matcher decision making data normalization HTTP communication and more. Profile and preference matcher process are using syntatic-based similarity approaches to handle grammatical mistakes on attribute values when users input the data. Several experiments have been conducted. Performance of the system are conducted by computing respon time which test the needed time from client to get response from server and interface rendering by using two different types of layout. On study case experiment we find the effect of attribute weight assignment when finding different category of a place we also describe how the process work. As the result we got the trend of response time is decreasing as the number of client is increasing and more rich content on the user interface greatly impact the rendering time on normal mode than plain mode. Moreover the weights of attribute significantly have an impact on the profile and preference matching when provide the recommendation of different category of a place. Hence every category of a place assigned different weights of attribute which match with the context of finding places.



Keywordsedit distance; dempster-shafer; fuzifikasi; pencocokan profil dan preferensi; sistem rekomendasi
 
Subject:  pengolahan data
Contributor
  1. Waskitho Wibisono, S.Kom., M.Eng., Ph.D.
  2. Hudan Studiawan, S.Kom., M.Kom.
Date Create: 23/07/2013
Type: Text
Format: pdf
Language: Indonesian
Identifier: ITS-Undergraduate-51001150004977
Collection ID: 51001150004977
Call Number: RSIf 006.312 Ich r


Source
Undergraduate Thesis of Informatics Engineering RSIf 006.312 Ich r 2013

Coverage
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Rights
Copyright @ 2015 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




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  1.  ITS-Undergraduate-35418-5109100090-abstract-idpdf.pdf - 655 KB
  2.  ITS-Undergraduate-35418-5109100090-abstract-enpdf.pdf - 596 KB
  3.  ITS-Undergraduate-35418-5109100090-conclusionpdf.pdf - 622 KB




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