Dietry monitoring system using decision tree to control human obesity / Mohamad Faiz Mat Baseri

Nowadays, obesity is one of the dangerous diseases in the world. Lack of dietary monitoring system will make it difficult for people with obesity to reduce their weight problems. The objective of this project is to develop a dietary monitoring system that can be used by everybody especially for obes...

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Main Author:	Mat Baseri, Mohamad Faiz
Format:	Thesis
Language:	English
Published:	2022
Subjects:	Electronic Computers Computer Science Application software Testing of software Android Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/58824/1/58824.pdf
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id	my-uitm-ir.58824
record_format	uketd_dc
spelling	my-uitm-ir.588242022-07-27T08:00:12Z Dietry monitoring system using decision tree to control human obesity / Mohamad Faiz Mat Baseri 2022-01 Mat Baseri, Mohamad Faiz Electronic Computers. Computer Science Application software Testing of software Android Neural networks (Computer science) Nowadays, obesity is one of the dangerous diseases in the world. Lack of dietary monitoring system will make it difficult for people with obesity to reduce their weight problems. The objective of this project is to develop a dietary monitoring system that can be used by everybody especially for obesity’s people. The method used in this study is to identify the strength and weaknesses of the existing system which involves reviewing some articles, journals, magazines, and books. The survey was conducted which involves 30 people answering the questionnaire. Result from the questionnaire will motivate to developing dietary monitoring system. Next method is utilizing a waterfall model as a method to develop a dietary monitoring system. The system applied the decision tree technique to classified food calorie. It is because each food has different food calories. The last method used in this study involves the participation of three respondents to testing the usability of the system. The results of this study help obesity’s people by developing system for them that can guide to control diet. Significant by developed this system such as helping obesity’s people to diet by giving them the guideline. In conclusion, developing dietary monitoring system will help obesity’s people to control diet. 2022-01 Thesis https://ir.uitm.edu.my/id/eprint/58824/ https://ir.uitm.edu.my/id/eprint/58824/1/58824.pdf text en public degree Universiti Teknologi MARA, Perak Faculty of Computer and Mathematical Sciences Saad, Ahmad Fadli (Dr.)
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Saad, Ahmad Fadli (Dr.)
topic	Electronic Computers Computer Science Application software Testing of software Android Neural networks (Computer science)
spellingShingle	Electronic Computers Computer Science Application software Testing of software Android Neural networks (Computer science) Mat Baseri, Mohamad Faiz Dietry monitoring system using decision tree to control human obesity / Mohamad Faiz Mat Baseri
description	Nowadays, obesity is one of the dangerous diseases in the world. Lack of dietary monitoring system will make it difficult for people with obesity to reduce their weight problems. The objective of this project is to develop a dietary monitoring system that can be used by everybody especially for obesity’s people. The method used in this study is to identify the strength and weaknesses of the existing system which involves reviewing some articles, journals, magazines, and books. The survey was conducted which involves 30 people answering the questionnaire. Result from the questionnaire will motivate to developing dietary monitoring system. Next method is utilizing a waterfall model as a method to develop a dietary monitoring system. The system applied the decision tree technique to classified food calorie. It is because each food has different food calories. The last method used in this study involves the participation of three respondents to testing the usability of the system. The results of this study help obesity’s people by developing system for them that can guide to control diet. Significant by developed this system such as helping obesity’s people to diet by giving them the guideline. In conclusion, developing dietary monitoring system will help obesity’s people to control diet.
format	Thesis
qualification_level	Bachelor degree
author	Mat Baseri, Mohamad Faiz
author_facet	Mat Baseri, Mohamad Faiz
author_sort	Mat Baseri, Mohamad Faiz
title	Dietry monitoring system using decision tree to control human obesity / Mohamad Faiz Mat Baseri
title_short	Dietry monitoring system using decision tree to control human obesity / Mohamad Faiz Mat Baseri
title_full	Dietry monitoring system using decision tree to control human obesity / Mohamad Faiz Mat Baseri
title_fullStr	Dietry monitoring system using decision tree to control human obesity / Mohamad Faiz Mat Baseri
title_full_unstemmed	Dietry monitoring system using decision tree to control human obesity / Mohamad Faiz Mat Baseri
title_sort	dietry monitoring system using decision tree to control human obesity / mohamad faiz mat baseri
granting_institution	Universiti Teknologi MARA, Perak
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2022
url	https://ir.uitm.edu.my/id/eprint/58824/1/58824.pdf
_version_	1783735003827404800

Dietry monitoring system using decision tree to control human obesity / Mohamad Faiz Mat Baseri

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