Article Per Year (5 Year)
p-Index From 2019 - 2024
1.633
P-Index
This Author published in this journals
All Journal International Journal of Artificial Intelligence Research Jurnal Informatika Universitas Pamulang REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Abdi Kami : Jurnal Pengabdian Kepada Masyarakat Jurnal Sisfotek Global Jurnal Buana Pengabdian Jurnal Pengabdian Masyarakat Nasional INTERNAL (Information System Journal) Journal Of Computer Science Contributions (JUCOSCO)
Anis Fitri Nur Masruriyah
Universitas Buana Perjuangan Karawang
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Public Health Other

Published : 10 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : International Journal of Artificial Intelligence Research

 1 
Development of Health Mask Identification Using YOLOv5 Architecture Ahmad Fauzi; Prasetyo Ajie; Anis Fitri Nur Masruriyah; Deden Wahiddin; Hanny Hikmayanti; April Lia Hananto
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : International Journal of Artificial Intelligence Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.1.573

Abstract

Coronavirus Disease 2019 (COVID-19) causes the state to suffer losses, especially in the health sector. WHO calls for controlling COVID-19 with health protocols that must be obeyed, one of which is wearing a mask. The use of masks can reduce the transmission of COVID-19. But there are still many people who ignore the protocol to use masks properly. So a system was created to detect the use of masks properly using the YOLOv5 architecture. Aiming to help regulate the use of masks in public areas or open places. The process of this research begins with data collection in the form of images. The collected image data will later be used as a dataset and model training will be carried out using the YOLOv5s model. The accuracy results obtained from this study reached 90.37%
Co-Authors Adhi Rizal Adi Rizky Pratama Ahmad Fauzi April Lia Hananto Arphilia Nur Rani Budi Arif Dermawan Chepy Sonjaya Deden Wahiddin Dinda Resna Amalia Dwi Sulistya Kusumaningrum Elsa Elvira Awal Hanny Hikmayanti Hanny Hikmayanti Handayani Hilda Yulia Novita Mia Mia Muhammad Baharudin Nita Fitriyani Nunung Nurjanah Prasetyo Ajie