SISTEM REKOMENDASI PEMILIHAN POTONGAN RAMBUT MENGGUNAKAN METODE VIOLA-JONES DI CV.PIXEL TONSORIUM INDONESIA

Choosing a haircut that suits your face shape is a challenge for many people facing problems in providing the right haircut recommendations to customers. This study aims to develop a haircut selection recommendation application based on the Viola-Jones method to detect the customer's face shape. This application is also designed to increase user engagement and drive sales of hair care products.
The Viola-Jones method was chosen because of its ability to detect objects, especially faces, quickly and accurately. This system works by detecting the customer's face shape through image input or direct camera, then analyzing facial characteristics such as oval, round, square, or oblong. Based on the detection results, the system will provide haircut recommendations that match the face shape. The visualization feature is used to display haircuts on the user's
face, so they can see realistically how the haircut will look before deciding. System testing was carried out using a diverse facial image dataset to measure detection accuracy and user satisfaction. The results showed that this
recommendation system was able to detect face shapes. In addition, based on a customer satisfaction survey, 90% of respondents were satisfied with the haircut recommendations given by the system. Visualization also received a positive response, with 85% of users stating that haircut visualization helped them in making decisions.
Keywords: Recommendation System, Haircut, Viola-Jones, Face Detection, CV. Pixel Tonsorium Indonesia.