%0 Thesis
%9 S1
%A Ahmad Reza Ar-rafi, -
%A Enda Permana, -
%A Hanissa Okitasari, -
%A -,
%A -,
%A -,
%B KODEPRODI63315#Teknik Logistik_S1
%D 2025
%F repoupi:141138
%I Universitas Pendidikan Indonesia
%K teknologi visi komputer; identifikasi frekuensi radio; sistem manajemen informasi; prototipe kamera pemantau     computer vision technology; radio frequency identification; information management systems; prototype monitoring camera
%T PRELIMINARY STUDY: RFID-Based Computer   Vision Technology Prototype as Information   Management Systems in the Logistics   Industry
%U http://repository.upi.edu/141138/
%X Purpose: This study aims to fill this gap by evaluating the benefits and challenges of applying CVT to a prototype monitoring camera, as well as developing an optimal implementation strategy.     Research Design and Methodology: This preliminary study adopted a quantitative approach, incorporating system analysis and observational data to assess user interaction with RFID systems and explore the potential integration of CVT, based on insights gathered from related articles and journals.    Findings and Discussion: The CVT integrated with RFID is evaluated using use cases and test cases sourced from relevant articles and journals. The anticipated outcome is that the RFID operates correctly and successfully meets all defined use cases and test cases.     Implications: The findings suggest that the combined use of RFID and CVT can significantly advance inventory and agricultural management systems. However, success depends on addressing operational complexities through continued innovation and system refinement. Future developments in deep learning and sensor technologies are expected to expand CVT’s role, making it a key component in intelligent system architectures for both industrial and agricultural applications.
%Z https://scholar.google.com/citations?hl=id&authuser=2&user=303Ie7AAAAAJ    ID SINTA Dosen Pembimbing:  Enda Permana: 6121829  Hanissa Okitasari: 6753821