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Skin care routine decision support system / Nur Fatin Farhanah Mohd Arbain

By:

Nur Fatin Farhanah Mohd Arbain

Material type: Text

TextPublication details: Kuantan, Pahang : UMP, 2016Description: xii, 50 p. : ill. (some col.) ; 30 cm. + 1 CD-ROMISBN:

THE0001115(Local)

Subject(s):

Dissertation note: Project paper (Bachelor of Computer Science (Computer Systems & Networking) With Honours) -- Universiti Malaysia Pahang – 2016 Abstract: Skin care routine decision support system is develop to help user to identify the skin type. The system provide suggestion skin type and product suitable based on user input information that request by the system. This system is proposed to develop because most of the system that have been found is too specific to one kind of skin type problem such as spina bifida. The existing system also do not use easy common name about the chemical ingredients inside the product. The proposed system will provide skin care routine system, decision support system for choosing suitable skin care product and skin care routine and chemical ingredient information in the skin care product. The proposed system provide list of product options based on the skin type for user to choose. This is determined by calculate the score based that has been insert by the user. To determine the type of skin, higher percentage is been used. Then, the suitable skin care product regimen such as toner and moisturizer will listed. The proposed system provide the four most common type of skin; oily, dry, combination and normal. This system only have the user and system. Model management module is one of the component used to calculate the decision. Rule-based on the skin condition of user is calculated by using greater percentage. This system is not expert system where no expertise decide the decision so it need input by the user and the percentage is calculate. Hence, it is suggested to user what skin care routine suitable for their skin type and some added knowledge about chemical ingredient is involved. The system will be evaluate based on three categories; functionality, satisfaction and knowledge. All the evaluation is conducted by survey as measurement of the evaluation.

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Holdings ( 2 )
Title notes ( 4 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB PEKAN	FSKKP .F385 2016 r Bc. (Browse shelf(Opens below))	1	Not for loan		0000117572
Final Year Report	UMPLIB PEKAN	CD 10689 \| FSKKP .F385 2016 r Bc. (Browse shelf(Opens below))	1	Not for loan		0000117573

Faculty of Computer Systems and Software Engineering

Project paper (Bachelor of Computer Science (Computer Systems & Networking) With Honours) -- Universiti Malaysia Pahang – 2016

Bibliography : p. 43-44

Skin care routine decision support system is develop to help user to identify the skin type. The system provide suggestion skin type and product suitable based on user input information that request by the system. This system is proposed to develop because most of the system that have been found is too specific to one kind of skin type problem such as spina bifida. The existing system also do not use easy common name about the chemical ingredients inside the product. The proposed system will provide skin care routine system, decision support system for choosing suitable skin care product and skin care routine and chemical ingredient information in the skin care product. The proposed system provide list of product options based on the skin type for user to choose. This is determined by calculate the score based that has been insert by the user. To determine the type of skin, higher percentage is been used. Then, the suitable skin care product regimen such as toner and moisturizer will listed. The proposed system provide the four most common type of skin; oily, dry, combination and normal. This system only have the user and system. Model management module is one of the component used to calculate the decision. Rule-based on the skin condition of user is calculated by using greater percentage. This system is not expert system where no expertise decide the decision so it need input by the user and the percentage is calculate. Hence, it is suggested to user what skin care routine suitable for their skin type and some added knowledge about chemical ingredient is involved. The system will be evaluate based on three categories; functionality, satisfaction and knowledge. All the evaluation is conducted by survey as measurement of the evaluation.