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All Journal Jurnal Penelitian dan Evaluasi Pendidikan Jurnal Ilmiah Farmasi e-Journal Pustaka Kesehatan Media Farmasi : Jurnal Ilmu Farmasi (Journal Of Pharmaceutical Science) Jurnal Teknologi Informasi dan Ilmu Komputer Global Medical and Health Communication Jurnal Farmasi Sains dan Komunitas JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Farmasi Galenika (Galenika Journal of Pharmacy) Warta Pengabdian JURNAL FARMASIMED (JFM) Building of Informatics, Technology and Science Abdimasku : Jurnal Pengabdian Masyarakat Community Development Journal: Jurnal Pengabdian Masyarakat Charity : Jurnal Pengabdian Masyarakat SOCIAL CLINICAL PHARMACY INDONESIA JOURNAL Farmasis: Jurnal Sains Farmasi Jurnal Pengabdian Masyarakat Akademisi eProceedings of Engineering Jurnal Farmasi Indonesia Journal of Agropharmacy
Ema Rachmawati
Fakultas Farmasi Universitas Jember
Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences

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Journal : Building of Informatics, Technology and Science

 1 
Mask Detection on Motorcyclists Using YOLOv4 Firdauz, Salma Salsabila; Rachmawati, Ema; Sulistiyo, Mahmud Dwi
Building of Informatics, Technology and Science (BITS) Vol 4 No 4 (2023): March 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i4.2980

Abstract

The use of mask is a mandatory for everyone in the pandemic regulation to prevent the spread of COVID-19 infection. This becomes a pandemic regulation for everyone, especially in public places like in traffic situation, such as pedestrian and motorcyclists. However, many motorcyclists ignore this rule or do not use the mask properly, let alone they have high risk in being infected by the virus; Thus, a computer vision-based solution is required to help monitoring it. This study aims to built a system to automatically detect the use of mask on motorcyclists. Here, we propose a YOLOv4 model, one of YOLO variants, which is popular in the object detection task and featured with a considerably high speed in real-time situation. This study also implements domain adaptation to discuss the object detection performances. Based on the experimental results in various scenarios, our model obtained average accuracy of 78.3% and IoU of 64.8% for class with_mask, average accuracy of 78.4% and IoU of 56.3% for class without_mask, and average accuracy of 87% and IoU of 55.5% for class incorrect_mask
Co-Authors Afifah, Hanin Agnes Jovanka Agung Budi Wirayuda, Tjokorda Agustina, Nur Azizah Akbar, M Raehan Alhafidz, Bagas Millen Amelya Prastica Rahayu Aliong Anditya Arifianto Anis Rohmawati Antonius Nugraha Widhi Pratama Antonius Nugraha Widhi Pratama Aprianti Putri Sujana Aryani, Dhita Evi Astutik, Amelia Windi Bedy Purnama Dawami, Hasbi Deny Haryadi Dhea Nanda Aliefia Dhita Evi Aryani Diana Holidah Elfitri, Beladina Evi Umayah Ulfa Febryanti Sthevanie Firandi, Adelia Firdaus, Fauzan Firdauz, Salma Salsabila Fitriansyah, Ahmad Habib Fransiska Maria C. Fransiska Maria Christianty Gamma Kosala Hazrina, Inasa Husnun, Khoiriyah Haifa Ika Barokah Suryaningsih Ika Norcahyanti Ika Norcahyanti Ika Puspita Dewi, Ika Puspita Inasa Hazrina Indah Yulia Ningsih Khoirotun Nazilah Kurniawan, Eka Cahya Kusumaningrum , Yunita Dyah Lailatul Maghfiroh Machlaurin, Afifah Machlaurin, Afifah Mahmud Dwi Sulistiyo Masito, Dewi Khurmi Muhammad Arzaki Nili Sufianti Ninda Titis Ainorrochma Ningsih, Lidya Prasti Eko Yunanto Pratama , Antonius Nugraha Widhi Pratiwi, Permata Sari Prihwanto Budi Subagijo Pudjoadmojo, Bambang Putri Eka Maryani Putu Harry Gunawan Putu Setia Pratama Ramadhani, Nuril Izzati Farihatur Rikman Aherliwan Rudawan Rimba Whidiana Ciptasari Risnandar, Risnandar S Siswanto Safarin, Arva Adwitya Sagala , Tunggal Panaluan Gabriel Sinta Rachmawati Sinta Rachmawati Supriadi, Muhammad Fadhlan Syahid, Ibadurrahman Tahyudin, Ganjar Gingin Ubaidillah, Rifky Fahrizal Wardhani, Firdha Aprillia Wicaksono, Ayssa Wirasakananda, Dewa Made Aditya Yeni Rahmawati Negara Zaenudin, Mohamad Nor