The Design of a Good Data Processing App Applying QR Code

Authors

  • Praditya Adi Nugroho Electronics Engineering Study Program PGRI Banten Polytechnic, Indonesia
  • Reni Haerani Informatics Management Study Program, PGRI Banten Polytechnic, Indonesia
  • R Dewi Mutia Farida Informatics Management Study Program, PGRI Banten Polytechnic, Indonesia
  • Ahmad Sofan Ansor Public Sector Human Resource Management Study Program, PGRI Banten Polytechnic, Indonesia

DOI:

10.33395/sinkron.v8i4.14189

Keywords:

Design; MySQL; Prototype Model; QR Code

Abstract

Designing a good data processing application using QR Codes aims to increase efficiency and accuracy in data management. QR codes are a fast and easy technology for storing and scanning data, allowing users to quickly access information without entering data manually. This application is designed for various purposes, such as inventory, time and attendance management, and document tracking. The application design process includes user needs analysis, interface design, back-end development, and integration with QR code technology. The prototype method is used during the system development stage. The programming language used is a hypertext preprocessor with a MySQL database, and a framework is used to ensure that the application behaves as expected and can provide effective solutions in data processing. The results of this design are expected to significantly contribute to operational efficiency, reduce human error in data entry, and increase the speed of accessing and managing information. Apart from that, implementing QR codes in data processing applications is hoped to be widely used in various industries and business fields.

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How to Cite

Nugroho, P. A. ., Haerani, R., Farida, R. D. M. ., & Ansor, A. S. . (2024). The Design of a Good Data Processing App Applying QR Code . Sinkron : Jurnal Dan Penelitian Teknik Informatika, 8(4), 2626-2635. https://doi.org/10.33395/sinkron.v8i4.14189

Issue

Vol. 8 No. 4 (2024): Article Research Volume 8 Issue 4, October 2024

Section

Articles

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Copyright (c) 2024 Praditya Adi Nugroho, Reni Haerani, R Dewi Mutia Farida, Ahmad Sofan Ansor

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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