JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Vol 8 No 4 (2021): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)

PENERAPAN ALGORITMA VIOLA-JONES UNTUK DETEKSI MASKER COVID-19 DI POLITEKNIK PERKERETAAPIAN INDONESIA MADIUN

Teguh Arifianto (Unknown)
Sunardi Sunardi (Politeknik Perkeretaapian Indonesia Madiun)



Article Info

Publish Date
14 Dec 2021

Abstract

The Viola-Jones algorithm is one of the algorithms that is often used to detect faces. Human face recognition system is an important technology that functions as a security system, control system, and others. This is in accordance with the research objective, namely to determine the application of the Viola-Jones algorithm in detecting the use of Covid-19 masks at the Indonesian Railways Polytechnic Madiun. The method used is to analyze digital cctv technology by capturing an object that requires information on an object. In the face detection research method using the Viola-Jones algorithm method. The results of this study indicate that there is success in detecting surrounding faces at a distance of 1-2m with an accuracy rate of 95.5% and an error of 4.5% in recognizing human faces.

Copyrights © 2021






Journal Info

Abbrev

jatisi

Publisher

Subject

Computer Science & IT

Description

JATISI bekerja sama dengan IndoCEISS dalam pengelolaannya. IndoCEISS merupakan wadah bagi para ilmuwan, praktisi, pendidik, dan penggemar dalam bidang komputer, elektronika, dan instrumentasi yang menaruh minat untuk memajukan bidang tersebut di Indonesia. JATISI diterbitkan 2 kali dalam setahun ...