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Nur Inzani Reski Amalia
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Computer Science & IT Control & Systems Engineering Engineering

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Journal : Jurnal ULTIMA Computing

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ekspresi Mengidentifikasi Mood Mahasiswa Berdasarkan Ekspresi Wajah dengan Menggunakan Discrete Wavelet Transform dan Fuzzy K-Nearest Neighbor Nur Inzani Reski Amalia; Jayanti Yusmah Sari
Ultima Computing : Jurnal Sistem Komputer Vol 11 No 1 (2019): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1328.953 KB) | DOI: 10.31937/sk.v11i1.1072

Abstract

Mood is a temporary emotional state. Mood usually has positive or negative quality values. Emotional intelligence has a role of more than 80% in achieving life success and is one of the factors that influence the students' capture power in the lecture process. By knowing the emotions of students, we can help capture students' ability during the lecture process, and the need for a system that can identify emotions that are formed during lectures.This system is built using the Discrete Wavelet Transform which transforms the image into 4 sub-images. The image of Discrete Wavelet Transform results looks rough or forms a face that can distinguish student expressions. The results of the Discrete Wavelet Transform image processing are classified using Fuzzy K-nearest neighbor. Classification is divided into three expressions, namely: Angry, Happy and Sad with accuracy of 77.49%
Co-Authors Jayanti Yusmah Sari