02901ntm a2200277 a 4500 vtls000099256 KUKTEM 20251117113327.0 170420t2016 my a f am 000 0 eng d THE0001115(Local) 201905141153 nazirah 201704201158 saini UMP FSKKP .F385 2016 r Bc. Nur Fatin Farhanah Mohd Arbain Skin care routine decision support system / Nur Fatin Farhanah Mohd Arbain Kuantan, Pahang : UMP, 2016 xii, 50 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM 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. Faculty of Computer Systems and Software Engineering Dissertations Universities and Colleges Dissertations Theses 0 0 0 1 20000 20000 2019-09-04 0 FSKKP .F385 2016 r Bc. 0000117572 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 10689 | FSKKP .F385 2016 r Bc. 0000117573 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 6792 6798 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*9992