Recommendation of meals and restaurant's location based on body mass index (MerLO) / Nusyasya Fizani M Halizan

Today there are many websites that offer food hunting. However, the available websites are not considering on the user’s health and Body Mass Index (BMI). Furthermore, there is a research by WHO that ranked Malaysian as the fattest among Country in South Asia. Basically, the purpose of this research...

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Bibliographic Details
Main Author:	M Halizan, Nusyasya Fizani
Format:	Student Project
Language:	English
Published:	Faculty of Computer and Mathematical Sciences 2019
Subjects:	Electronic computers. Computer science Interactive computer systems
Online Access:	http://ir.uitm.edu.my/id/eprint/26602/ http://ir.uitm.edu.my/id/eprint/26602/1/Pbb_NURSYASYA%20FIZANI%20M%20HALIZAN%20CS%20R%2019_5.pdf

id	uitm-26602
recordtype	eprints
spelling	uitm-266022019-11-27T02:52:11Z http://ir.uitm.edu.my/id/eprint/26602/ Recommendation of meals and restaurant's location based on body mass index (MerLO) / Nusyasya Fizani M Halizan M Halizan, Nusyasya Fizani Electronic computers. Computer science Interactive computer systems Today there are many websites that offer food hunting. However, the available websites are not considering on the user’s health and Body Mass Index (BMI). Furthermore, there is a research by WHO that ranked Malaysian as the fattest among Country in South Asia. Basically, the purpose of this research is to develop, integrate and evaluate the web-based application Recommendation of Meals and Restaurant’s Location based on Body Mass Index (MeRLo). The objectives of this research study are to develop a web-based application that suggests suitable meals based on BMI, to integrate a web-based application that can recommend restaurant location based on user’s BMI and to evaluate the helpfulness of the web-based application through Expert Review and User Acceptance Testing. The methodology for this research study is Rapid Application Development (RAD) that consists of four phases which are planning, user design, construction and testing. In this study, the target users for Acceptance Testing are adults ranged 18- 30 years old. This research ultimately visualizes for user to make a decision to find restaurant based on their health and BMI. The helpfulness of the web-based application was tested through two testing which are Expert Review and User Acceptance Testing. The tools that is used for the testing is questionnaires which is use expected to acquire the opinions and response from the respondents. From the Expert Review, the results show that there are some amendments have to be made on the application in order to fulfil the requirements of a recommendation website. On the other hand, User Acceptance Testing has shown an impressive result where the mean value for all the helpfulness dimensions are high >4.0. Hence, the overall results show that the development of web-based MeRLo application is able to help user to know their suitable meals and to find restaurant’s location based on their BMI. Faculty of Computer and Mathematical Sciences 2019-11-26 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/26602/1/Pbb_NURSYASYA%20FIZANI%20M%20HALIZAN%20CS%20R%2019_5.pdf M Halizan, Nusyasya Fizani (2019) Recommendation of meals and restaurant's location based on body mass index (MerLO) / Nusyasya Fizani M Halizan. [Student Project] (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Electronic computers. Computer science Interactive computer systems
spellingShingle	Electronic computers. Computer science Interactive computer systems M Halizan, Nusyasya Fizani Recommendation of meals and restaurant's location based on body mass index (MerLO) / Nusyasya Fizani M Halizan
description	Today there are many websites that offer food hunting. However, the available websites are not considering on the user’s health and Body Mass Index (BMI). Furthermore, there is a research by WHO that ranked Malaysian as the fattest among Country in South Asia. Basically, the purpose of this research is to develop, integrate and evaluate the web-based application Recommendation of Meals and Restaurant’s Location based on Body Mass Index (MeRLo). The objectives of this research study are to develop a web-based application that suggests suitable meals based on BMI, to integrate a web-based application that can recommend restaurant location based on user’s BMI and to evaluate the helpfulness of the web-based application through Expert Review and User Acceptance Testing. The methodology for this research study is Rapid Application Development (RAD) that consists of four phases which are planning, user design, construction and testing. In this study, the target users for Acceptance Testing are adults ranged 18- 30 years old. This research ultimately visualizes for user to make a decision to find restaurant based on their health and BMI. The helpfulness of the web-based application was tested through two testing which are Expert Review and User Acceptance Testing. The tools that is used for the testing is questionnaires which is use expected to acquire the opinions and response from the respondents. From the Expert Review, the results show that there are some amendments have to be made on the application in order to fulfil the requirements of a recommendation website. On the other hand, User Acceptance Testing has shown an impressive result where the mean value for all the helpfulness dimensions are high >4.0. Hence, the overall results show that the development of web-based MeRLo application is able to help user to know their suitable meals and to find restaurant’s location based on their BMI.
format	Student Project
author	M Halizan, Nusyasya Fizani
author_facet	M Halizan, Nusyasya Fizani
author_sort	M Halizan, Nusyasya Fizani
title	Recommendation of meals and restaurant's location based on body mass index (MerLO) / Nusyasya Fizani M Halizan
title_short	Recommendation of meals and restaurant's location based on body mass index (MerLO) / Nusyasya Fizani M Halizan
title_full	Recommendation of meals and restaurant's location based on body mass index (MerLO) / Nusyasya Fizani M Halizan
title_fullStr	Recommendation of meals and restaurant's location based on body mass index (MerLO) / Nusyasya Fizani M Halizan
title_full_unstemmed	Recommendation of meals and restaurant's location based on body mass index (MerLO) / Nusyasya Fizani M Halizan
title_sort	recommendation of meals and restaurant's location based on body mass index (merlo) / nusyasya fizani m halizan
publisher	Faculty of Computer and Mathematical Sciences
publishDate	2019
url	http://ir.uitm.edu.my/id/eprint/26602/ http://ir.uitm.edu.my/id/eprint/26602/1/Pbb_NURSYASYA%20FIZANI%20M%20HALIZAN%20CS%20R%2019_5.pdf
first_indexed	2023-09-18T23:17:07Z
last_indexed	2023-09-18T23:17:07Z
_version_	1777419186398560256

Recommendation of meals and restaurant's location based on body mass index (MerLO) / Nusyasya Fizani M Halizan

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