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All Journal JURNAL KAJIAN TEKNIK ELEKTRO JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Abdimasa Community Development Journal: Jurnal Pengabdian Masyarakat
Sunardi Sunardi
Politeknik Perkeretaapian Indonesia Madiun
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Public Health Other

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Journal : JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI

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PENERAPAN ALGORITMA VIOLA-JONES UNTUK DETEKSI MASKER COVID-19 DI POLITEKNIK PERKERETAAPIAN INDONESIA MADIUN Teguh Arifianto; Sunardi Sunardi
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 8 No 4 (2021): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v8i4.1106

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.
Co-Authors Akhwan Akhwan Bambang Wasito Damar Istri Pratiwi Dara Aulia Feryando Dwiko Nugroho Sadewo Lady Silk Moonlight M. Afif Amalul Arifidin Moonlight, Lady Silk Riyanta, Wawan Santi Triwijaya Sunaryo Sunaryo Teguh Arifianto