Wifi4U: Broadband recommendation system by using rule-based and cosine similarity / Putri Nur Syarfa Maizan

As the broadband consumption continues explosive growth, the variety of broadband plan of different Internet Service Providers (ISPs) for home and business in the market are exploding as well. This indirect causes the difficulties for home and business owners in choosing broadband package that match...

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Main Author:	Maizan, Putri Nur Syarfa
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Electronic Computers Computer Science Algorithms Wifi access networks
Online Access:	https://ir.uitm.edu.my/id/eprint/35628/1/35628.pdf
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id	my-uitm-ir.35628
record_format	uketd_dc
spelling	my-uitm-ir.356282020-11-27T04:02:25Z Wifi4U: Broadband recommendation system by using rule-based and cosine similarity / Putri Nur Syarfa Maizan 2020 Maizan, Putri Nur Syarfa Electronic Computers. Computer Science Algorithms Wifi access networks As the broadband consumption continues explosive growth, the variety of broadband plan of different Internet Service Providers (ISPs) for home and business in the market are exploding as well. This indirect causes the difficulties for home and business owners in choosing broadband package that match their preferences. Other than that, some users are still paying more than that amount for far slower connections despite there are numerous cheaper choice for high speed connections flowing in the market. Therefore, aim for this system is to recommend broadband plan that match user preferences such as type of usage, speed required, quota, TV services, voice call, connections type and budget. Furthermore, we aim to visualize the information of home and business broadband in Malaysia. In this system, Forward Chaining in Rule-Based algorithm is used to filter user’s preferences and Web-Scraping technique is used to extract data and information from websites. Moreover, user can find their desired broadband plan and make registration by using this system. The methodology used in the system is Modified Waterfall where it is breakdown of project activities into linear sequential phases. This methodology includes requirements analysis, system and software design, testing, implementation, and operation and maintenance phases. Results show, based on the functionality testing that conducted, every functions of a system is functioning as proposed where the tested functions providing exact input. Meanwhile, based on usability testing, it is validated by 10 users that the system works smoothly and meet their needs. In the nut shell, a discussion on how the system should responding to the limitations such as implementing collaborative filtering algorithm and adding some features in order to enhance the efficiency of the system is also mentioned. 2020 Thesis https://ir.uitm.edu.my/id/eprint/35628/ https://ir.uitm.edu.my/id/eprint/35628/1/35628.pdf text en public degree Universiti Teknologi MARA, Cawangan Melaka Faculty of Computer and Mathematical Science Mishan, Mohd Taufik
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mishan, Mohd Taufik
topic	Electronic Computers Computer Science Algorithms Wifi access networks
spellingShingle	Electronic Computers Computer Science Algorithms Wifi access networks Maizan, Putri Nur Syarfa Wifi4U: Broadband recommendation system by using rule-based and cosine similarity / Putri Nur Syarfa Maizan
description	As the broadband consumption continues explosive growth, the variety of broadband plan of different Internet Service Providers (ISPs) for home and business in the market are exploding as well. This indirect causes the difficulties for home and business owners in choosing broadband package that match their preferences. Other than that, some users are still paying more than that amount for far slower connections despite there are numerous cheaper choice for high speed connections flowing in the market. Therefore, aim for this system is to recommend broadband plan that match user preferences such as type of usage, speed required, quota, TV services, voice call, connections type and budget. Furthermore, we aim to visualize the information of home and business broadband in Malaysia. In this system, Forward Chaining in Rule-Based algorithm is used to filter user’s preferences and Web-Scraping technique is used to extract data and information from websites. Moreover, user can find their desired broadband plan and make registration by using this system. The methodology used in the system is Modified Waterfall where it is breakdown of project activities into linear sequential phases. This methodology includes requirements analysis, system and software design, testing, implementation, and operation and maintenance phases. Results show, based on the functionality testing that conducted, every functions of a system is functioning as proposed where the tested functions providing exact input. Meanwhile, based on usability testing, it is validated by 10 users that the system works smoothly and meet their needs. In the nut shell, a discussion on how the system should responding to the limitations such as implementing collaborative filtering algorithm and adding some features in order to enhance the efficiency of the system is also mentioned.
format	Thesis
qualification_level	Bachelor degree
author	Maizan, Putri Nur Syarfa
author_facet	Maizan, Putri Nur Syarfa
author_sort	Maizan, Putri Nur Syarfa
title	Wifi4U: Broadband recommendation system by using rule-based and cosine similarity / Putri Nur Syarfa Maizan
title_short	Wifi4U: Broadband recommendation system by using rule-based and cosine similarity / Putri Nur Syarfa Maizan
title_full	Wifi4U: Broadband recommendation system by using rule-based and cosine similarity / Putri Nur Syarfa Maizan
title_fullStr	Wifi4U: Broadband recommendation system by using rule-based and cosine similarity / Putri Nur Syarfa Maizan
title_full_unstemmed	Wifi4U: Broadband recommendation system by using rule-based and cosine similarity / Putri Nur Syarfa Maizan
title_sort	wifi4u: broadband recommendation system by using rule-based and cosine similarity / putri nur syarfa maizan
granting_institution	Universiti Teknologi MARA, Cawangan Melaka
granting_department	Faculty of Computer and Mathematical Science
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/35628/1/35628.pdf
_version_	1783734309296799744

Wifi4U: Broadband recommendation system by using rule-based and cosine similarity / Putri Nur Syarfa Maizan

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