Optimalisasi Aplikasi Flutter Untuk Sistem Point Of Sales (Pos) Di Perangkat Mobile Low End

This study aims to develop a lightweight Flutter-based Point of Sales (POS) application that can run stably on low-end mobile devices. The application is designed to help MSMEs manage sales transactions, product data, and financial reports offline. The research method used is SDLC with the Waterfall approach. The optimization techniques applied include lazy loading, GetX state management, asset compression, and build optimization. Testing was conducted using Black Box Testing, Flutter DevTools, App Size Analyzer, and ADB. The results show that the APK size was reduced from approximately 30 MB to 17.3 MB, memory usage decreased from approximately 92 MB to 11.6 MB, and application performance improved to 60 FPS with loading times under 1 second. The developed application is considered lightweight, responsive, and suitable for low-specification devices.