Development of Skin Care Routine Support System

Skin Care Routine Support System is a system to help people how to take care their facial skin. There are differences routine that needs to use based on different skin types. In order to determine the skin type, the people need to have knowledge about the combination of skin condition. This can caus...

Full description

Bibliographic Details
Main Authors:	Noorhuzaimi, Mohd Noor, Nur Jannah, Muhamad, Noor Azida, Sahabudin, Zuriani, Mustaffa
Format:	Article
Language:	English
Published:	American Scientific Publisher 2018
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/20139/ http://umpir.ump.edu.my/id/eprint/20139/ http://umpir.ump.edu.my/id/eprint/20139/ http://umpir.ump.edu.my/id/eprint/20139/1/Development%20of%20Skin%20Care%20Routine%20Support%20System.pdf

id	ump-20139
recordtype	eprints
spelling	ump-201392018-11-29T02:51:37Z http://umpir.ump.edu.my/id/eprint/20139/ Development of Skin Care Routine Support System Noorhuzaimi, Mohd Noor Nur Jannah, Muhamad Noor Azida, Sahabudin Zuriani, Mustaffa QA76 Computer software Skin Care Routine Support System is a system to help people how to take care their facial skin. There are differences routine that needs to use based on different skin types. In order to determine the skin type, the people need to have knowledge about the combination of skin condition. This can cause difficulty for the people to analyse their skin type if they cannot able to determine their combination skin condition and do not have deep knowledge about skin symptom. As for a solution, we have proposed a skin care routine decision support system using the knowledge-base. The system able to predict the user skin type based on environment, age, gender, sleeping hour and skin conditions that will be input by the user. The user input then will be processed by using a set of score rules to determine the type of skin based on maximum rate. The rules are developed based on general observation from the web, journal paper, and books. After the skin type determination process finished, the system provides tips and knowledge of common chemical ingredient that needs to be avoided by the user. The testing process will be conducted for two types of correspondence which are public user and expert. The system functionality and system knowledge testing will be got from the public user, while the content, rules, and output will be got from the expert. Expected results for the feedback are the system able to support the user to determine their skin type and give knowledge to the user in order to select correct routine and suitable product. American Scientific Publisher 2018-11 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/20139/1/Development%20of%20Skin%20Care%20Routine%20Support%20System.pdf Noorhuzaimi, Mohd Noor and Nur Jannah, Muhamad and Noor Azida, Sahabudin and Zuriani, Mustaffa (2018) Development of Skin Care Routine Support System. Advanced Science Letters, 24 (10). pp. 7830-7833. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.13026 doi: 10.1166/asl.2018.13026
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Noorhuzaimi, Mohd Noor Nur Jannah, Muhamad Noor Azida, Sahabudin Zuriani, Mustaffa Development of Skin Care Routine Support System
description	Skin Care Routine Support System is a system to help people how to take care their facial skin. There are differences routine that needs to use based on different skin types. In order to determine the skin type, the people need to have knowledge about the combination of skin condition. This can cause difficulty for the people to analyse their skin type if they cannot able to determine their combination skin condition and do not have deep knowledge about skin symptom. As for a solution, we have proposed a skin care routine decision support system using the knowledge-base. The system able to predict the user skin type based on environment, age, gender, sleeping hour and skin conditions that will be input by the user. The user input then will be processed by using a set of score rules to determine the type of skin based on maximum rate. The rules are developed based on general observation from the web, journal paper, and books. After the skin type determination process finished, the system provides tips and knowledge of common chemical ingredient that needs to be avoided by the user. The testing process will be conducted for two types of correspondence which are public user and expert. The system functionality and system knowledge testing will be got from the public user, while the content, rules, and output will be got from the expert. Expected results for the feedback are the system able to support the user to determine their skin type and give knowledge to the user in order to select correct routine and suitable product.
format	Article
author	Noorhuzaimi, Mohd Noor Nur Jannah, Muhamad Noor Azida, Sahabudin Zuriani, Mustaffa
author_facet	Noorhuzaimi, Mohd Noor Nur Jannah, Muhamad Noor Azida, Sahabudin Zuriani, Mustaffa
author_sort	Noorhuzaimi, Mohd Noor
title	Development of Skin Care Routine Support System
title_short	Development of Skin Care Routine Support System
title_full	Development of Skin Care Routine Support System
title_fullStr	Development of Skin Care Routine Support System
title_full_unstemmed	Development of Skin Care Routine Support System
title_sort	development of skin care routine support system
publisher	American Scientific Publisher
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/20139/ http://umpir.ump.edu.my/id/eprint/20139/ http://umpir.ump.edu.my/id/eprint/20139/ http://umpir.ump.edu.my/id/eprint/20139/1/Development%20of%20Skin%20Care%20Routine%20Support%20System.pdf
first_indexed	2023-09-18T22:28:52Z
last_indexed	2023-09-18T22:28:52Z
_version_	1777416150321201152

Development of Skin Care Routine Support System

Similar Items