Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Komputer
Sulthoni, Dimas Alifta
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Pendeteksian Senjata Api pada Manusia dalam Situasi Real-Time Menggunakan Model YOLOv4-Tiny Sulthoni, Dimas Alifta; Thoyyibah, Thoyyibah
Jurnal Ilmu Komputer Vol 1 No 2 (2023): Jurnal Ilmu Komputer (Edisi Desember 2023)
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aims to develop a real-time human firearm detection system using the YOLOv4-tiny method. The system is implemented and tested on public security CCTV cameras to enhance responses to potential security threats. The research results indicate that the developed detection system achieves an accuracy level of approximately 95%. Real-time testing successfully detects various types of firearms, including rifles, shotguns, and handguns. This success demonstrates the potential of YOLOv4-tiny as an effective solution for improving public safety with fast and accurate firearm detection. The research makes a significant contribution to security technology development, offering an efficient means to prevent violent incidents and protect communities effectively.
Co-Authors thoyyibah, Thoyyibah