eprintid: 141138
rev_number: 16
eprint_status: archive
userid: 218653
dir: disk0/00/14/11/38
datestamp: 2025-10-01 08:06:31
lastmod: 2025-10-01 08:06:31
status_changed: 2025-10-01 08:06:31
type: thesis
metadata_visibility: show
creators_name: Ahmad Reza Ar-rafi, -
creators_name: Enda Permana, -
creators_name: Hanissa Okitasari, -
creators_nim: NIM2105671
creators_nim: NIDN0013096303
creators_nim: NIDN0021109303
creators_id: ahmadreza23@upi.edu
creators_id: enda_per@upi.edu
creators_id: hanissa.okitasari@upi.edu
contributors_type: http://www.loc.gov/loc.terms/relators/THS
contributors_type: http://www.loc.gov/loc.terms/relators/THS
contributors_name: Enda Permana, -
contributors_name: Hanissa Okitasari, -
contributors_nidn: NIDN0013096303
contributors_nidn: NIDN0021109303
contributors_id: enda_per@upi.edu
contributors_id: hanissa.okitasari@upi.edu
corp_creators: -
corp_creators: -
corp_creators: -
title: PRELIMINARY STUDY: RFID-Based Computer 
Vision Technology Prototype as Information 
Management Systems in the Logistics 
Industry
ispublished: pub
subjects: T1
subjects: TS
divisions: TLog_S1
full_text_status: restricted
keywords: teknologi visi komputer; identifikasi frekuensi radio; sistem manajemen informasi; prototipe kamera pemantau 

computer vision technology; radio frequency identification; information management systems; prototype monitoring camera
note: https://scholar.google.com/citations?hl=id&authuser=2&user=303Ie7AAAAAJ

ID SINTA Dosen Pembimbing:
Enda Permana: 6121829
Hanissa Okitasari: 6753821
abstract: 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.
date: 2025-07-25
date_type: published
institution: Universitas Pendidikan Indonesia
department: KODEPRODI63315#Teknik Logistik_S1
thesis_type: other
thesis_name: other
official_url: https://jurnal.feb-umi.id/index.php/ATESTASI/article/view/1646
related_url_url: https://perpustakaan.upi.edu/
related_url_type: org
citation:   Ahmad Reza Ar-rafi, - and Enda Permana, - and Hanissa Okitasari, -  (2025) PRELIMINARY STUDY: RFID-Based Computer Vision Technology Prototype as Information Management Systems in the Logistics Industry.  S1 thesis, Universitas Pendidikan Indonesia.   
document_url: http://repository.upi.edu/141138/1/TA_ART_S_TL_2105671_ART.pdf
document_url: http://repository.upi.edu/141138/2/TA_ART_S_TL_2105671_SK.pdf