Claim Missing Document
Check
Articles

Found 2 Documents
Search

PERANCANGAN APLIKASI DUTA BANGSA E-KANTIN SEBAGAI MEDIA KOMUNIKASI DIGITAL BERBASIS ANDROID Kusuma, Adri Surya; Solichin, Mamat Nur; Yuliana, Margaretha Evi
IDEALIS : InDonEsiA journaL Information System Vol 7 No 2 (2024): Jurnal IDEALIS Juli 2024
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/idealis.v7i2.3174

Abstract

The technology developed very rapidly to be able to change communication skills. The appearance of an application's user interface can be a media for how digital interaction and communication is carried out today. Android-based applications have been created and used in various fields. This research was conducted on the process of ordering food with the scale of the canteen area of each faculty at Duta Bangsa University Surakarta where the process is currently still conventional which requires customers or students to come to the canteen.The research aims to design an e-canteen Duta Bangsa application as an android-based digital communication media. The research method uses Research and Development (R&D) with Blackbox Testing on the system and the SUS (System Usability Scale) method used in usability measurements. The results that have been achieved in this study are the prototype of the Duta Bangsa e-Canteen application with 3 user level access rights, namely admin, canteen branches, and customers. The percentage of user satisfaction based on the Likert scale is 85,33% of 30 respondents. This shows that the applicationcan provide easeof communication and transactions between canteen brances and customers or users of the application. Food ordering can now be done virtually through an application interfaceas a result of advancein digital communication technology.
PENGEMBANGAN SISTEM PERHITUNGAN JUMLAH KENDARAAN BERDASARKAN JENIS KENDARAAN MENGGUNAKAN ALGORITMA YOLO SECARA REALTIME Kusuma, Adri Surya; Pradana, Afu Ichsan; Pamekas, Bondan Wahyu
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 7 No 2 (2024): Jurnal SKANIKA Juli 2024
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v7i2.3201

Abstract

This study developed a vehicle counting system based on vehicle types using the YOLO algorithm in real-time. With the advancement of artificial intelligence technology, particularly in computer vision, outdoor media has also advanced through the computation of CCTV image results installed on such media. The significance of this research is found in its ability to provide accurate and real-time traffic data that can be utilized by local governments, traffic management companies, property developers, and advertising companies for traffic planning, security, and marketing analysis. The research method involved training the YOLOv9 model and centroid-based tracking on a dataset that included four vehicle classes: car, motorcycle, bus, and truck. The results showed that the developed system could detect and track vehicles with high accuracy, achieving a mAP of 0.9, precision of 0.909, recall of 0.828, and an F1-Score of 0.867. However, the system's performance heavily depends on the hardware specifications used, and the detection for motorcycles has lower evaluation scores compared to other vehicle types. This study indicates that improving hardware specifications and optimizing the model can enhance system performance. These findings are important as they reveal the considerable potential of using the YOLO algorithm in real-time traffic monitoring applications.