Rule-Based system for skin type Self-Assessment (RBSA) / Norfida Abu Bakar

A good health is an integral part of a happy life and successful personality. A healthy skin is also associated with/ good health. To retain a healthy skin people need to know their skin type because the use of unsuitable skin care products can make skin worse. Detem1ining the skin type is usually d...

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Main Author:	Norfida, Abu Bakar
Format:	Thesis
Language:	English
Published:	2010
Subjects:	Back propagation (Artificial intelligence) Information theory
Online Access:	https://ir.uitm.edu.my/id/eprint/34343/1/34343.pdf
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id	my-uitm-ir.34343
record_format	uketd_dc
spelling	my-uitm-ir.343432020-09-11T01:06:01Z Rule-Based system for skin type Self-Assessment (RBSA) / Norfida Abu Bakar 2010-11-02 Norfida, Abu Bakar Back propagation (Artificial intelligence) Information theory Mathematical statistics. Probabilities Philosophy. Theory. Classification. Methodology A good health is an integral part of a happy life and successful personality. A healthy skin is also associated with/ good health. To retain a healthy skin people need to know their skin type because the use of unsuitable skin care products can make skin worse. Detem1ining the skin type is usually done by skin specialist. The title for this project is Rule-Based for Skin Type Self-Assessment (RBSA). The system is a web based system that can provide online self assessment through questionnaires. The objectives of the project are to develop a rule-based system to determine skin type where it can accept the input and produce the result for users and recommendation of skin care product based on skin type. This project uses rule based technique to get the suitable results. This system has 24 rules to evaluate the result. It can determine sixteen types of skin. The rules that have been created are based on the theories of Leslie Baumann who is a skin specialist. The system will display different questionnaires based on skins sequentially. User must input the data and system will process the data based on the rule. The results will show user's skin type and the appropriate skin care product based on user's skin type. This system prototype was tested with thirty sample data of respondent. From the analysis, this project accuracy is 93.3%. As the conclusion, the rules that have been created are accurate and this technique is suitable to be applied in skin type determination. 2010-11 Thesis https://ir.uitm.edu.my/id/eprint/34343/ https://ir.uitm.edu.my/id/eprint/34343/1/34343.pdf text en public degree Universiti Teknologi MARA Cawangan Perak Faculty of Computer and Mathematical Sciences Normah, Mohd Rawi
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Normah, Mohd Rawi
topic	Back propagation (Artificial intelligence) Information theory Back propagation (Artificial intelligence) Back propagation (Artificial intelligence)
spellingShingle	Back propagation (Artificial intelligence) Information theory Back propagation (Artificial intelligence) Back propagation (Artificial intelligence) Norfida, Abu Bakar Rule-Based system for skin type Self-Assessment (RBSA) / Norfida Abu Bakar
description	A good health is an integral part of a happy life and successful personality. A healthy skin is also associated with/ good health. To retain a healthy skin people need to know their skin type because the use of unsuitable skin care products can make skin worse. Detem1ining the skin type is usually done by skin specialist. The title for this project is Rule-Based for Skin Type Self-Assessment (RBSA). The system is a web based system that can provide online self assessment through questionnaires. The objectives of the project are to develop a rule-based system to determine skin type where it can accept the input and produce the result for users and recommendation of skin care product based on skin type. This project uses rule based technique to get the suitable results. This system has 24 rules to evaluate the result. It can determine sixteen types of skin. The rules that have been created are based on the theories of Leslie Baumann who is a skin specialist. The system will display different questionnaires based on skins sequentially. User must input the data and system will process the data based on the rule. The results will show user's skin type and the appropriate skin care product based on user's skin type. This system prototype was tested with thirty sample data of respondent. From the analysis, this project accuracy is 93.3%. As the conclusion, the rules that have been created are accurate and this technique is suitable to be applied in skin type determination.
format	Thesis
qualification_level	Bachelor degree
author	Norfida, Abu Bakar
author_facet	Norfida, Abu Bakar
author_sort	Norfida, Abu Bakar
title	Rule-Based system for skin type Self-Assessment (RBSA) / Norfida Abu Bakar
title_short	Rule-Based system for skin type Self-Assessment (RBSA) / Norfida Abu Bakar
title_full	Rule-Based system for skin type Self-Assessment (RBSA) / Norfida Abu Bakar
title_fullStr	Rule-Based system for skin type Self-Assessment (RBSA) / Norfida Abu Bakar
title_full_unstemmed	Rule-Based system for skin type Self-Assessment (RBSA) / Norfida Abu Bakar
title_sort	rule-based system for skin type self-assessment (rbsa) / norfida abu bakar
granting_institution	Universiti Teknologi MARA Cawangan Perak
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2010
url	https://ir.uitm.edu.my/id/eprint/34343/1/34343.pdf
_version_	1783734264381046784

Rule-Based system for skin type Self-Assessment (RBSA) / Norfida Abu Bakar

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