Rancang Bangun Aplikasi Identifikasi Tipikal Kulit Wajah Menggunakan Transformasi Wavelet

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Health is a top priority that needs to be maintained, especially the health of facial skin that is most often exposed to direct Ultra Violet (UV) rays. The problems that arise are not only that people often ignore facial skin health, especially from exposure to Ultra Violet rays, but also carry out skin care that is not in accordance with their typical facial skin and causes new bad effects. It is very important for people to know the type of their facial skin so that they know how to take action to maintain healthy skin according to their typical. The purpose of this study is to produce an application for identification of typical facial skin to facilitate the public in determining facial skin health care based on their typical characteristics. The method used in this study is the Wavelet Transform method by extracting features from facial skin test data so as to produce a value that will be sought for the closest distance to the training data. The test data that has the closest value to the training data will be classified according to class and in this study there are two classes, namely oily skin and dry skin. Of the 30 data tested, 10 data on oily skin were correct, 10 data for dry skin were correct and 10 data from both classes were declared incorrect. The percentage of accuracy obtained from this research is 66%.

Keywords: Typical, skin, face, wavelet transformation