Page 168 - Demo

1st Int. Transborder Conf. of the Timor Island: Timor %u2013 Science without borderDili, 7-8 May 2025167Development of Smart Inventory & Equipment Renting System for Nusa Cendana University Integrated LaboratorySelestino Bernard Kroon1* and Dodi Darmakusuma21Computer Science Department, Fac. Science and Engineering, Univ. Nusa Cendana Indonesia2 Chemistry Department, Fac. Science and Engineering, Univ. Nusa Cendana Indonesia*Corresponding author: sandikroon23@gmail.comAbstractThe Integrated Laboratory Operational Unit (UPT Laboratorium Terpadu) at Nusa Cendana University serves as a support unit for academic activities, particularly by providing integrated laboratory services. However, the unit continues to face challenges in inventory management and equipment loan tracking, which are currently conducted manually. This manual process leads to inefficiencies in data management and difficulties in locating equipment due to reliance on physical documentation. To address these issues, a web-based information system was developed to manage the inventory and loan processes for laboratory equipment at the Integrated Laboratory of Nusa Cendana University. The system was developed using the Extreme Programming (XP) software development methodology and modeled with the Unified Modeling Language (UML). Implementation was carried out using the JavaScript programming language within the Next.js framework and integrated with a PostgreSQL database hosted on the Supabase cloud platform. Based on the results of Black Box testing, the developed system effectively enhances the efficiency and accuracy of inventory and equipment loan management processes. It also facilitates student access to view and request available laboratory equipment and materials. Furthermore, the system simplifies the tasks of UPT staff in managing inventory and loan transactions. This system is expected to provide an effective solution for inventory and loan management at the Integrated Laboratory Operational Unit of Nusa Cendana University.Keywords: Inventory System, PostgreSQL, JavaScript, Next.js.