There are two effects cosmetics on the skin, namely positive and negative effects. The use of cosmetics in accordance with the skin type will have a positive impact on the skin while the use of cosmetics that do not fit the skin type will negatively affect the skin. Each person's skin type is not the same, therefore it is important to know the type of skin before deciding to buy suitable cosmetics. This research will build an intelligent system that can classify facial skin types by utilizing the concept of data mining. This research uses Discrete Wavelet Transform (DWT), contrast, and Local Binary Pattern (LBP) for extracting the features contained in the face image and use Support Vector Machine (SVM) as the classifier to determine the facial skin type. Based on the experimental results, it is proven that the proposed method able to properly classify facial skin types. The proposed method gives the average classification accuracy of 91.66% with the average running time of 31.571 seconds.
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