Published: 2022-01-01
Algoritma Reed Solomon Codes pada Sistem Informasi Pemanggilan Data Peserta Wisudawan-Wisudawati menggunakan QR Codes
DOI: 10.35870/jtik.v6i1.388
Jumari Jumari, Fauziah Fauziah, Nur Hayati
Article Metrics
- Scopus Citations
- Google Scholar
- Crossref Citations
- Semantic Scholar
- DataCite Metrics
-
If the link doesn't work, copy the DOI or article title for manual search (API Maintenance).
Abstract
This study aims to optimize the use of information systems for data management calling for graduates by using a QR code. At the analysis stage, it was found a problem that in calling the graduation participants still used the manual method, this caused the names of the graduates to be confused during the summoning procession. Based on the background of the problem, the researcher aims to make the calling process more efficient, replacing the system that uses QR code technology. The researcher uses the Reed Solomon method as error correction in the QR code Encoding process. This research was conducted through testing of 100 data and a total of 4000 times of testing including error correction, scan distance, and the condition of the card or paper. The results of the test are scans that are read in good condition with a correction level with distance testing of 6cm, 12cm, 18cm, 24cm and 30cm with errors L = 63.6%, M = 74%, Q = 79.8%, H = 93.8%while in damaged condition L = 42.8% ,M = 53.6% ,Q = 65.4%,H = 87.6%Therefore, this error fix affects the QR Code.
Keywords
Information System; QR Codes; Reed Solomon; Encoding; Graduation Call
Peer Review Process
This article has undergone a double-blind peer review process to ensure quality and impartiality.
Indexing Information
Discover where this journal is indexed at our indexing page.
Open Science Badges
This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges.
How to Cite
Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
-
Issue: Vol. 6 No. 1 (2022)
-
Section: Computer & Communication Science
-
Published: 2022-01-01
-
License: CC BY 4.0
-
Copyright: © 2022 Authors
-
DOI: 10.35870/jtik.v6i1.388
AI Research Hub
This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem.
Jumari Jumari, Nasional University
Fauziah Fauziah, Nasional University

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.