ESP32-Based Smart Storage System with Fingerprint and HMI Integration for Workspaces

Authors

  • Juan Kristian Danielo S Department of Electrical Engineering, Electronics Engineering Technology Study Program, Politeknik Negeri Batam, Batam, Indonesia
  • Muhammad Naufal Ihsan R.A Department of Electrical Engineering, Electronics Engineering Technology Study Program, Politeknik Negeri Batam, Batam, Indonesia
  • Nanta Fakih Prebianto Department of Electrical Engineering, Electronics Engineering Technology Study Program, Politeknik Negeri Batam, Batam, Indonesia

DOI:

https://doi.org/10.30871/jaee.v9i1.9420

Keywords:

Database integration introduction, ESP32, Fingerprint recognition, Practicum, Tool Management

Abstract

Management of laboratory equipment in higher education institutions often faces challenges such as lack of supervision, difficulties in inventory tracking, and an unstructured system. To address these issues, this research designs a Laboratory Component Storage Management System that integrates fingerprint technology, proximity sensors, HMI, and a database. The proximity sensor shows a success rate of 75% in detecting objects up to a distance of 10 cm. The stepper motor system on the X, Y, and Z axes has an average error of less than 1%, supporting movement precision. The VB.NET-based interface has proven successful through black box testing, with an Admin borrowing time of 47–50 seconds and a User borrowing time of 55–70 seconds, as well as a return time of 42–45 seconds and 52–62 seconds, respectively. This system enhances security, efficiency, and user experience in the practical process and can be an alternative solution to the weakness of the manual inventory system in the laboratory.

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References

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Published

2025-06-28 — Updated on 2025-06-28

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How to Cite

Juan Kristian Danielo S, Muhammad Naufal Ihsan R.A, & Prebianto, N. F. (2025). ESP32-Based Smart Storage System with Fingerprint and HMI Integration for Workspaces. Journal of Applied Electrical Engineering, 9(1), 20–27. https://doi.org/10.30871/jaee.v9i1.9420

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