Real-Time Data Analytics System Development for Hot Air Dryer Using IoT Technology

Abstract

This research, entitled "Real-Time Database Management and Data Analytics System for Dashboard Visualization in Banana Drying Process," was conducted with three objectives: (1) to develop a real-time database management and data analytics system for the banana drying process, (2) to analyze the relationship between temperature and drying duration, and between banana slice thickness and drying duration, in the banana drying process, and (3) to evaluate system performance and user satisfaction. The system was developed using the System Development Life Cycle (SDLC) approach, integrating Internet of Things (IoT) technology with a Backend Service and PostgreSQL database to support Time-Series data storage from monitoring sensors, with results displayed through a real-time Web Dashboard. Performance testing revealed that the system could receive, transmit, and record data continuously and accurately, with an average latency below 200 milliseconds, supporting a minimum of 50 records per minute, and refreshing the dashboard every 5 seconds. Data analysis found that higher temperatures reduced drying time, and banana slice thickness directly affected drying duration. Expert evaluation by 6 specialists rated the overall system at the highest level (Mean = 4.66, S.D. = 0.34), while 30 users also reported the highest level of satisfaction (Mean = 4.50, S.D. = 0.51). The developed system effectively enables users to monitor data in real time, analyze historical trends, and apply findings to improve production quality and consistency.