This research aimed to analyze, design, and develop a web application for smart workplace and seat management system, and to evaluate the technical performance of the developed system. The experimental data consisted of real organizational data, including building data, floor data, department data, employee data, and seating arrangement data. The dataset included 9 buildings, 29 floors, 112 departments, 3,264 employees, and a total of 4,147 seats. The research instrument was a smart seat management web application developed using Vue.js version 3 together with the Vuetify version 3 framework. The system was connected to the backend through an Application Programming Interface (API) and used MongoDB as the database. The research methodology followed the System Development Life Cycle (SDLC). System performance was evaluated using Google Lighthouse in desktop mode, and system load capability was tested using the k6 tool.
           The results showed that: 1) the smart workplace and seat management web application can manage building structures, floors, departments, employee seat assignments, and user access permissions according to the system scope, and 2) the technical performance evaluation using Google Lighthouse indicated that Best Practices achieved a good level, whereas Performance, Accessibility, and SEO required improvement. In addition, load testing using k6 with 50 concurrent users for 2 minutes showed a 95th percentile response time (P95) of 6,071.53 milliseconds. Overall, the system can support concurrent usage to a certain extent and has the potential to be applied in workplace management within organizations.