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Implementasi Sistem Penjualan Pada Berbasis Aplikasi Baidowi, Ahmad; Yakob, Galih Satria; Barronzoeputra, Gaoeng Qalbun; Fahmi, Hakon; Sarimole, Frencis Matheos
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v4i1.279

Abstract

Businesses today benefit greatly from information technology, especially in creating computer-based applications, websites, and sales information systems. This technology allows for quick and easy sales data management and buy-sell transactions. This system can process sales transaction data efficiently, which allows precise and fast information reports to be generated. By creating an application, Warkuy Cafe, located in Bekasi City, overcomes the problem of manual sales data recap. This system aims to increase the convenience, attractiveness, and efficiency of online services and ordering. These applications include information about sales transactions, delivery messages, booking order systems, and e-wallet payments. Software such as Learning Management System (LMS) and Content Management System (CMS), which help users and administrators edit data, created the applications. This innovation enhances Warkuy Cafe's operations and improves customers' shopping experience.
Implementasi Algoritma You Only Look Once (YOLOv8) untuk Mendeteksi Pelanggaran Lalu Lintas Berupa Tidak Menggunakan Helm (Studi Kasus di Jatiasih, Bekasi) Poerwandono, Edhy; Barronzoeputra, Gaoeng Qalbun
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i3.1017

Abstract

This research aims to implement the You Only Look Once (YOLO) algorithm in detecting traffic violations in the form of riders who do not use helmets in Jatiasih, Bekasi. The problem studied is the high number of violations in the form of riders who do not use helmets which play a vital role in protecting riders from danger. The expected solution is the development of an automatic detection system that is able to identify this offence with a high level of accuracy. The object of the research is motorcyclists in Jatiasih, Bekasi. The research method used includes applying the YOLO algorithm to video recordings from surveillance cameras at several monitoring points. Video data processing is done by a laptop and YOLO algorithm-based software. The results of this research are expected to support law enforcement efforts, increase awareness of helmet use, and improve road safety by building an automatic detection system that can identify offences such as not wearing a helmet. The results of this research will show how effective the YOLO algorithm is for spotting traffic offences.