Perancangan Pengalaman Pengguna (User Experience) Aplikasi Mobile Rekomendasi Gaya Rambut dengan Integrasi API Machine Learning Analisis Bentuk Wajah

Abstract

This research aims to design a mobile application that can provide hairstyle recommendations based on the user's face shape. The application utilizes machine learning technology integrated with an API to analyze the user's face shape. The user samples are taken from various genders to ensure that the application can provide accurate recommendations. The face shape analysis method uses facial recognition techniques based on machine learning, which can detect the face shape. The application then suggests suitable hairstyles based on the analysis results. The user experience evaluation is conducted through usability testing to assess ease of use, interface comfort, and user satisfaction. The results show that the application is capable of providing hairstyle recommendations that match the user's face shape, with satisfactory accuracy and positive feedback from users regarding ease of use. This research is expected to be a solution for choosing hairstyles that match individual face shape preferences and characteristics, while also improving the user experience of mobile applications.