Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Telcomatics
Willy Andreas
Program Studi Teknik Elektro, Fakultas Teknologi Industri, Universitas Internasional Batam
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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

Found 1 Documents
Search

 1 
Perancangan Prototype Brankas Menggunakan Sistem Pengenalan Wajah Dengan Metode Convolutional Neural Network (CNN) Andik Yulianto; Willy Andreas; Sabariman Sabariman
Telcomatics Vol 8 No 1 (2023)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v8i1.7852

Abstract

A safe-deposit box is a box used for keeping precious items. Safe-deposit boxes are designed to be difficult for people to open by force. There are various security systems that may be used in it, such as mechanical key, combinational lock, PIN, etc. However, a safe-deposit box is still prone to unpermitted access because anyone who knows the PIN or possesses the key is still able to open it. This research aims to create a safety-box prototype which has a face recognition system implemented on it to ensure no unauthorized person may access this box. Experiment is performed on three different classes, which are “erwin”, “unknown”, and “willy”. Class of “erwin” and “willy” are defined as safe owners, while “unknown” is defined as anyone who is not both owners. Classification on safe owners is considered success if the percentage output in corresponding classes is at least 90 %. Classification on “unknown” class is considered success if the result is at least 90 % or percentage on each class is lower than 90 %. Accuracy for each class is 0 %, 71.43 %, dan 100 %.
Co-Authors Sabariman Sabariman Yulianto, Andik