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This Author published in this journals
All Journal Journal of Digital Technology and Computer Science
Bintang Florentina Aruan
Institut Teknologi Sawit Indonesia, Medan, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Journal : journal of digital technology and computer science

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AI-Assisted Barcode Inventory Management for Plantation Warehouse Operations in a Desktop Environment Bintang Florentina Aruan; Ritna Wahyuni; Ratu Mutiara Siregar
Journal of Digital Technology and Computer Science Vol. 3 No. 2 (2026): April 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/dtcs.v3i2.933

Abstract

Purpose – This study aims to Development of a Desktop-Based Warehouse Inventory Management Application with Barcode Technology Integration Methods – The study used a Research and Development approach with the Waterfall development model. Data were collected through literature study, observation, and interviews, while system functions were validated using Black Box Testing. Findings – The developed application supports item data management, category, unit, warehouse location, incoming goods, outgoing goods, stock adjustment, inventory reporting, minimum stock alerts, and an Inventory AI Assistant as a supporting database-search feature. The testing results indicate that the main functions run according to the planned scenarios. Research implications – The system can serve as an initial solution to support more orderly and traceable inventory administration in a plantation warehouse environment. Originality – This study positions barcode as an item-identification mechanism in a local desktop application and includes an Inventory AI Assistant that is limited to database-based information retrieval.  
Co-Authors Ratu Mutiara Siregar Ritna Wahyuni