Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal JTRM (Jurnal Teknologi dan Rekayasa Manufaktur)
Atika Nur Rahmawati
Politeknik Manufaktur Bandung
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Analisis Metode Pengenalan Wajah Two Dimensial Principal Component Analysis (2DPCA) dan Kernel Fisher Discriminant Analysis Menggunakan Klasifikasi KNN (K- Nearest Neighbor) Abdur Rohman Harits Martawireja; Hilman Mujahid Purnama; Atika Nur Rahmawati
Jurnal Teknologi dan Rekayasa Manufaktur Vol 2 No 2 (2020): Vol 2 No 2 (2020): Volume: 2 | Nomor: 2 | Oktober 2020
Publisher : Pusat Pengembangan, Penelitian dan Pengabdian kepada Masyarat (P4M) Politeknik Manufaktur Bandung (Polman Bandung)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48182/jtrm.v2i2.30

Abstract

many applications apply it, both in the commercial and law enforcement fields. Face recognition is a system that used to identify based on the facial characteristic of a biometric-based person which has high accuracy. Face Recognition can be used in security system. Many methods are used in face recognition for security system, but in this paper will discuss only about 2 methods, there are Two Dimensial Principal Component Analysis and Kernel Fisher’s Discriminant Analysis and each methods use K-Nearest Neighbor for the class classification. For the testing system, both of them use the cross validation testing method. From the previous research, the face recognition accuracy with 5-folds cross validation of Two Dimensial Principal Component Analysis method is 88,73%, while the accuracy with 2-folds cross validation of it is 89,25%. And the average of Kernel Fisher Discriminant Analysis’ accuracy is about 83,10%.
Co-Authors Abdur Rohman Harits Martawireja Hilman Mujahid Purnama