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All Journal Journal of Information Systems and Informatics Djtechno: Jurnal Teknologi Informasi
Nurrizkyta Aulia Hanifah
IPB University
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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PEMBUATAN PLATFORM DIGITAL UNTUK EDUKASI DAN E-COMMERCE HIDROPONIK BERBASIS BUSINESS INTELLIGENCE: STUDI KASUS HYDROSPACE Nurrizkyta Aulia Hanifah; Muhammad Aqil Musthafa Arrachman Musthafa Arrachman; Muhammad Fillah Al Fatih; Nasywa Shafa Salsabila; Gema Parasti Mindara; Aditya Wicaksono
Djtechno: Jurnal Teknologi Informasi Vol 6, No 2 (2025): Agustus
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v6i2.6501

Abstract

Urban farming has become one of the solutions to address limited land availability in cities, with hydroponics being an effective method. However, the low literacy level of the public regarding hydroponics hinders the adoption of this technology. This research aims to develop a digital platform, HydroSpace, which integrates hydroponic education and e-commerce services to facilitate the public's access to information and hydroponic supplies. The Waterfall method was used in the platform's development, focusing on educational features in the form of video tutorials, a hydroponic product marketplace, and a Business Intelligence (BI) system for user data analysis. Data was collected through platform testing with various users, and the results show that HydroSpace effectively improved users' understanding of hydroponics and facilitated the purchase of hydroponic supplies. The conclusion of this research is that HydroSpace can be an efficient solution to enhance hydroponic literacy and support sustainable urban farming.
Development of a Real-Time Traffic Density Detection Website Using YOLOv8-Based Digital Image Processing with OpenCV Rizki Juliansyah; Muhammad Aqil Musthafa Ar Rachman; Muhammad Al Amin; Aisya Tyanafisya; Nurrizkyta Aulia Hanifah; Endang Purnama Giri; Gema Parasti Mindara
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.912

Abstract

This study introduces a real-time traffic density monitoring system utilizing YOLOv8-based digital image processing to improve traffic management efficiency. By leveraging YOLOv8’s enhanced speed and precision, the system detects and classifies five types of vehicles and displays traffic data through a web interface developed with OpenCV and Flask. Key implementation features include real-time video streaming and accurate detection metrics, with the system achieving 96% Precision, 84% Recall, and an F1 Score of 90% during field testing in Bogor. This indicates the system’s potential for minimizing manual traffic monitoring and aiding traffic authorities in making data-driven decisions. The research also discusses the system’s integration into urban traffic management and its scalability for diverse environments.
Co-Authors Aditya Wicaksono Aisya Tyanafisya Endang Purnama Giri Gema Parasti Mindara Muhammad Al Amin Muhammad Aqil Musthafa Ar Rachman Muhammad Aqil Musthafa Arrachman Musthafa Arrachman Muhammad Fillah Al Fatih Nasywa Shafa Salsabila Rizki Juliansyah