Development of Scoring System Using Case-based Reasoning in Virtual Beauty Advisor Application

Sabhira, Aisha Rana (2020) Development of Scoring System Using Case-based Reasoning in Virtual Beauty Advisor Application. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Cosmetic industry is one of the industries with a promising opportunity in Indonesian market. One of the factors that caused this is the rise of online platform that enables consumers to access information related to beauty trends directly from the experts. But, the sales generated through online channels for cosmetic products are considerably low due to the lack of direct experiential information. Several brands such as L’Oreal Paris are adapting Virtual Try-On technology as a solution that enables consumers to experience novelty in online shopping. However, there is still a lack of intimacy in terms of knowledge sharing from experts to consumers due to the limitation of the augmented reality technology. This research aims to increase the consumers’ experience by combining the Virtual Try-On’s function with a scoring system based on the knowledge of beauty experts in the form of beauty advisor application. The scoring system was constructed using case-based reasoning method that utilizes the knowledge from beauty expert as the baseline for the 3 classification of score; high, normal, and low. The case-based reasoning system aims to give automatic score of the make-up look built by users based on user input to assure whether a product is suitable for them. The final result of this research is the drafted old cases as the general knowledge from the experts and the interface design as the visualization of the application. This research also provides the user scenario that shows the flow of Virtual Beauty Advisor usage.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Case-based Reasoning, Knowledge Management, Usability, Virtual Try-On
Subjects: T Technology > T Technology (General) > T58.8 Productivity. Efficiency
Divisions: Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User: Aisha Rana Sabhira
Date Deposited: 21 Aug 2020 03:32
Last Modified: 21 Aug 2020 03:32
URI: http://repository.its.ac.id/id/eprint/79784

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