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All Journal Journal of Applied Science, Technology & Humanities
Rafi Rasyid Parmana
IPB University
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Social Sciences

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IoT-Based Barcode Scanning System for Production and Warehouse Management Ivan De Nerol; Riyo Putra Syam Satria; Rafi Rasyid Parmana; Nanda Octavia; Muhammad Danang Mukti Darmawan; Mohamad Mohamad Alvin Renaldi; Firdayanti; Fiqri Nurfadillah; Fiona Kharismatunnisaa; Ester Angeline; Dhafa Kamil; Yourdan Saputra
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 1 (2024): January 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/0zv1h756

Abstract

This project aims to develop an IoT-based barcode scanning system using an ESP32 microcontroller and a GM-65 barcode reader for efficient production and warehouse management. The system facilitates automated and accurate barcode scanning, with the collected data transmitted to a web-based platform in real-time. The web interface provides users with comprehensive insights into production quantities and warehouse status, generating a detailed journal for traceability and accountability. This innovative solution offers businesses a streamlined approach to monitor and record production activities, ultimately optimizing the overall efficiency of production and warehouse management processes.
Development of a Web-Based Automated Production Inventory System Rafi Rasyid Parmana; Ivan De Nerol; Ester Angeline; Dhafa Kamil
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 2 (2024): March 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/b63fbn64

Abstract

This research focuses on the design of an automatic counting system for production items using the ESP32 microcontroller and E18-D80NK sensor. The main objective of the study is to address inventory issues, particularly in the context of manual counting of production items, which is susceptible to shortages and inaccuracies. The proposed automatic counting device aims to provide a solution to enhance employee performance efficiency and reduce the risk of human errors. The integration of the ESP32 microcontroller as a data processor and the E18-D80NK sensor as an information capture device will allow easy access to calculation results through a website interface. The primary advantage of this system is its ability to prevent potential data forgery in production and provide more accurate calculation results. With data storage on a website platform, tracking production history becomes more effective, enabling in-depth analysis of overall production performance. This research proposes an integrated solution to enhance efficiency, transparency, and accuracy in the production counting process. With the implementation of this technology, it is expected that the automated production system can be a strategic step towards improving productivity and the reliability of production information.
Co-Authors Dhafa Kamil Ester Angeline Fiona Kharismatunnisaa Fiqri Nurfadillah Firdayanti Ivan De Nerol Ivan De Nerol Mohamad Mohamad Alvin Renaldi Muhammad Danang Mukti Darmawan Nanda Octavia Riyo Putra Syam Satria Yourdan Saputra