Facial Wash Products Recommendation System: Profile User-Based Using Fuzzy Analytical Hierarchy Process Approach

As the beauty business grows, facial wash products offer many attractive preferences in the market. This forces the users as customers to be more attentive in determining the right product distinction according to their valuable requirements and physical face condition. Therefore, this paper tries to assist users with making up one’s minds about the appropriate facial wash products affiliating to the analysis of user profiles. The Fuzzy Analytical Hierarchy Process (Fuzzy-AHP) approach was employed using five criteria, including skin type, pH level, packaging, price, and texture. The criteria were then exhausted with 15 sub-criteria and eight alternatives of facial wash products. The automation of this selection is described in the development of a prototype decision-making system with user specification restrictions for millennials aged users from 15 up to 30 years old. The software testing description from 25 users reveals the functionality, value, significance, user-friendliness, and acceptance of this application in recommending the appropriate products for facial wash. Moreover, 86.9% of respondents agreed that this application made a significant contribution supported by a convenient analysis of user-profiles and conditions. Hence, the possible emergence of allergies and skin irritation due to negative effects of facial wash product consumption can be minimized and the users are retrieved with a new knowledge of facial wash products.