Lab inventory monitoring system using low code programming

Ong, Ting Xi (2025) Lab inventory monitoring system using low code programming. Final Year Project, UTAR.

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Abstract

The area of study for this project is web application development. This project aims to develop an inventory monitoring web portal for solving the problems lacking on existing inventory monitoring systems. Nowadays, the existing systems still have complex interfaces and navigation structures, which causes time consuming and high cost in adapting this kind of system. Moreover, there are many business enterprises still rely on paper works and excel tables in monitoring inventory. This causes a lot of external error occurring during inventory monitoring and affects the accuracy of monitoring and reporting which resulting below standard level. Additionally, the existing systems don’t provide further general instruction for addressing abnormal items. This will cause the unnecessary workflows to be repeated persistently and reduce the efficiency of operation. Furthermore, the proposed inventory monitoring web portal is developed by using low-code programming, which is Node-RED. Then, this web portal is integrated with database and various APIs which consists of Telegram chatbot API, MySQL database, and so on. Besides that, the process of development of inventory monitoring web portal follows the standards of Agile model. Then, this project has also conducted literature review on 4 existing inventory monitoring systems for finding out their limitations. The proposed system allows improve the accuracy and efficiency in monitoring inventories. Consequently, this project develops an inventory monitoring web portal by utilizing the low-code development tool to address the key challenges faced by the existing systems.

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