Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Vol 3 No 3 (2019): Maret 2019

Ekstraksi Ciri Pada Klasifikasi Tipe Kulit Wajah Menggunakan Metode Haar Wavelet

Muhammad Rafi Farhan (Fakultas Ilmu Komputer, Universitas Brawijaya)
Agus Wahyu Widodo (Fakultas Ilmu Komputer, Universitas Brawijaya)
Muhammad Arif Rahman (Fakultas Ilmu Komputer, Universitas Brawijaya)



Article Info

Publish Date
14 Jan 2019

Abstract

Facial skin is one of the important parts of a human body. Lots of people trying to make their skin flawless. And also, most of them are willing to spend their money to achieve a perfect skin starts from treatment with distinguished doctors, applying expensive skin products or going abroad to get the product that matches with their skin type. The problem is, people are having difficulties on choosing the right product due to the nonconformity between the purchased product with the skin type. Moreover, this problem leads to acne, wrinkles, and black spot on the skin. The need for a system to ease non-expert to determine their skin type. So, they can purchase the product that fits their skin type. Therefore, the author propose to build a classification system which can classify skin types. In building that, the author uses haar wavelet method which is has been proven to get good result. Based on the result of this research, the highest accuracy is 90% in detection type of skin.

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Journal Info

Abbrev

j-ptiik

Publisher

Subject

Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Description

Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian ...