PEMANFAATAN TEKNOLOGI COMPUTER VISION BERBASIS YOLO UNTUK MENDETEKSI KERUMUNAN DI SMKN 4 MALANG
DOI:
https://doi.org/10.29303/abdiinsani.v11i1.1437Keywords:
Computer Vision, YOLO, Crowd DetectionAbstract
In limited face-to-face learning, teachers and students must implement health protocols to prevent the spread of the Covid-19 virus. However, implementing health protocols in schools as a new habit in the midst of a pandemic is certainly not easy. There are many reports related to the number of violations of health protocols in schools during face-to-face learning. Therefore, by innovating and utilizing existing technology in the 4.0 era can help us to detect social boundaries. The purpose of this service activity is so that teachers and students can learn YOLO-based computer vision technology at SMKN 4 Malang as a means of preventing the spread of Covid-19. In addition, teachers and students can also learn to make simple applications based on YOLO. This activity begins with the socialization of YOLO-based computer vision technology as a crowd detection tool to the school. Then the design and manufacture of crowd detection tools by the service team, training in making crowd detection applications, and ending with a discussion between the trainees and the service team. The results of the service show that this activity has succeeded in developing a crowd detection tool that can help calculate the number and distance of people who do not apply health protocols at SMKN 4 Malang. This tool makes it easier for schools to monitor the activities of school residents in implementing health protocols. This service activity is very useful and in demand by teachers and students. This is evidenced by the enthusiasm of the participants in participating in the training of YOLO-based crowd detection tools.
Downloads
References
Alfarisy, S., Tias, N. N., & Sahbudin, J. (2021). Pelanggaran Protokol Kesehatan Covid-19: Ultimum Remedium Atau Primum Remedium (Studi Kasus MRHS). Indonesia Criminal Law Review, 1(1), 25–42. https://scholarhub.ui.ac.id/cgi/viewcontent.cgi?article=1003&context=iclr
Andwiyan, D., Frian, T., & Aan, M. (2021). Sistem Penghitung Kendaraan Berbasis Computer Vision Terintegrasi Website dan API. Incomtech, 10(2), 23–28. https://ejournal.istn.ac.id/index.php/incomtech/article/download/1175/797/
Bangunang, R. J., Mulianti, T., & Deeng, D. (2022). DAMPAK SOSIAL BUDAYA MASYARAKAT AKIBAT PANDEMI COVID-19 DI DESA LEILEM KECAMATAN SONDER KABUPATEN MINAHASA. 15(4), 1–15. https://ejournal.unsrat.ac.id/v3/index.php/holistik/article/view/45723
Budiyanta, N. E., Mulyadi, M., & Tanudjaja, H. (2021). Sistem Deteksi Kemurnian Beras berbasis Computer Vision dengan Pendekatan Algoritma YOLO. Jurnal Informatika: Jurnal pengembangan IT, 6(1), 51–55. https://media.neliti.com/media/publications/465529-none-4bb0c627.pdf
Indaryanto, F., Nugroho, A., & Suni, A. F. (2021). Aplikasi Penghitung Jarak dan Jumlah Orang Berbasis YOLO Sebagai Protokol Kesehatan Covid-19. Edu Komputika Journal, 8(1), 31–38. https://doi.org/10.15294/edukomputika.v8i1.47837
Khumaira, A., & Rahmawati, F. M. (2023). Counseling on Facing the New Normal Era of Covid – 19 and Business in the Less Contact Economy Period at the Yogyakarta Community Reading House Penyuluhan Menghadapi Era New Normal Covid – 19 dan Bisnis di Masa Less Contact Economy di Rumah Baca Komunitas. DINAMISIA: Jurnal Pengabdian Kepada Masyarakat, 7(2), 295–300. https://doi.org/10.31849/dinamisia.v7i2.4870
Muchtaridi, M., Suhendi, C., Wathoni, N., Megantara, S., & Halimah, E. (2021). Sosialisasi Protokol Adaptasi Kebiasaan Baru Di Masyarakat Desa Sayang Melalui Media Sosial Dan Temu Maya. Dharmakarya, 10(3), 182–186. https://doi.org/10.24198/dharmakarya.v10i2.31147
Noviana, N., Holilah, I., Afrizal, M. I., Khotimah, N. N., Zafa, N. ’Afifah, & Azizah, N. (2021). VAKSIN AMAN, MASYARAKAT SEHAT UNTUK MENDUKUNG KEGIATAN BELAJAR MENGAJAR TATAP MUKA (1 ed.). Media Madani.
Nugroho, A., Indaryanto, F., & Suni, A. F. (2023). Distance and people counting app based on YOLO as a Covid-19 health protocol. AIP Conference Proceedings, 2727(1), 40024. https://doi.org/10.1063/5.0141518
Putri, L. D. A. (2021). Efektivitas Penerapan Sanksi Pelanggaran Protokol Kesehatan Covid-19 (Corona Virus Desease-19) di Indonesia. MAGISTRA, 02(1), 217–220. http://jurnal.untagsmg.ac.id/index.php/malrev/article/view/2012
Rambe, C. N. (2021). Strategi Pembelajaran Melalui Daring Dan Luring Dalam Masa Pandemi Covid-19 Di Sekolah. Prosiding Seminar Nasional, 1(1), 1–9. https://jurnal.uhnp.ac.id/psn-uhnp/article/view/125/117
Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016). You Only Look Once: Unified, Real-Time Object Detection. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. https://doi.org/10.1109/CVPR.2016.91
Rizkatama, G. N., Nugroho, A., & Suni, A. F. (2021). Sistem Cerdas Penghitung Jumlah Mobil untuk Mengetahui Ketersediaan Lahan Parkir berbasis Python dan YOLO v4. Edu Komputika Journal, 8(2), 91–99. https://doi.org/10.15294/edukomputika.v8i2.47865
Sari, D. N., Alfansuri, F. N., Aini, R. Q., Nurkapid, M., & Wulandari, A. T. (2021). Kesiapan Pembelajaran Tatap Muka Dan Kesehatan Mental Siswa Sekolah Dasar Akibat Pembelajaran Daring. Academica : Journal of Multidisciplinary Studies, 5(2), 345–362. https://doi.org/10.22515/academica.v5i2.4130
Yusriyah, K., & Ohorella, N. R. (2022). Konstruksi Realitas Peraturan Pembelajaran Tatap Muka (PTM) Di Indonesia Pada Media Online. Komunika, 5(1), 77–89. https://doi.org/10.24042/komunika.v5i1.12463
Zaini, N., & Khori, N. (2021). Pendampingan Pembelajaran Daring Terhadap Peserta Didik SD/MI Di Desa Guci Dengan Menggunakan Media Pembelajaran Interaktif. Ta’awun: Jurnal Pengabdian Kepada Masyarakat, 1(01), 14–27. https://journal.stitaf.ac.id/index.php/taawun/article/download/178/343
