Applying Design Thinking Methodology for The Design of a Responsive Web Platform for Data Monitoring in Brown Sugar Factory

The brown sugar factory industry faces challenges in manual data recording, leading to errors, inefficiency, and delays in reporting. This research aims to design a responsive web platform prototype to improve the efficiency of production data recording using the Design Thinking methodology. The study addresses two research problems: how to record production data accurately and integrally, and how the prototype fulfills the user needs and enhance data recording efficiency. The methodology follows five stages: empathize, define, ideate, prototype, and test. Data collection was conducted through field observations and interviews with operational staff and management. The findings show that the web platform prototype improves data accuracy, real-time accessibility, and reporting efficiency. In conclusion, the responsive, user-centered web technology enhances operational efficiency in brown sugar factories, offering a foundation for digital transformation in agriculture. Future research can integrate IoT sensors for real-time monitoring and predictive analytics for production planning.