This thesis explores the development of a web application for AROL, aimed at enhancing the efficiency and accuracy of machinery and component tracking through QR code technology. The project streamlines the process by which employees access detailed information about machinery, improving decision-making and operational efficiency. The inception of this project arose from the need to create a system where employees could quickly and efficiently register and scan QR codes on various machinery or components to access pertinent information. By scanning these QR codes, employees can retrieve data such as operational instructions, assembly guidelines, and batch information, facilitating quicker learning and immediate action in the event of anomalies.