Satellite anomalies caused by extreme space weather events such as geomagnetic storms and high-energy particle flux can disrupt satellite operations, damage instruments, and compromise mission success. Many existing monitoring systems remain limited in functionality, lacking interactive features and advanced visual analytics essential for early detection and effective decision support. This study presents an improved version of the Satellite Anomaly Information System, known in Indonesia as Sistem Informasi Anomali Satelit (SIAS), which has been redeveloped as a web-based platform using the Laravel framework with a modular, responsive frontend design. The system introduces features such as interactive dashboards, orbital heatmaps, and time series graphs that visualize anomaly trends and space weather conditions, equipped with filters for satellite type, anomaly source, and time range. Flexible data reporting is supported through export options in PNG and PDF formats. The system is developed using an iterative incremental approach, enabling continuous refinement based on user feedback, and usability testing using the System Usability Scale yielded an average score of 79.16, indicating strong user acceptance. This platform serves as a bridge between static anomaly logs and interactive analytical tools, providing a more accessible and informative approach to satellite anomaly investigation. The present study focuses on the design and implementation of the web-based interface and data processing logic, including the development of dynamic visualization modules and integration of historical and near real-time datasets to support anomaly trend analysis. Future development will concentrate on improving the accuracy of intensity representation in heatmap visualizations and enhancing the overall user experience.