Skin analyzer: skin analyzer mobile application / Nur Syifa Mahzoni

Skincare is important to maintain regularly by using the right products. However, each skin type has different requirements for ingredients in skincare products. The large number of skincare products available in the market has also caused consumers to feel confused about choosing a product that suits their skin type. Therefore, this project develops a mobile application that helps users find suitable skincare products based on their skin condition. The objectives of this project are to identify the user requirements, design, and develop the Skin Analyzer: Skin Analyzer Mobile Application. The scope of this project focuses on four skin types, which are normal, combination, dry, and oily, as well as the product brand focus on CeraVe, Tatcha, SKII, Laneige, Caudalie, Neutrogena, Cetaphil, Hadalabo, Aveeno, and Clinique. For the development, the project uses the Mobile Application Development Life Cycle (MADLC) methodology approach up to the testing phase. The features and functions of these apps are user registration, updating and deleting user profiles, selecting skin type, screening skin analysis questionnaire, recommending skincare products based on skin type, and checking the halal status of the product. The System Usability Scale (SUS) has been used in this project. There are 10 general users who took part in SUS after they completed testing of the application. For future recommendations, it is proposed to enhance the recommender features through the Collaborative Filtering (CF) technique and face recognition. This project is also expected to be available for iOS in the future, which means more users will benefit from this mobile application.