Automation System in Coffee Beans Dying Process Based on IoT

Many obstacles are felt by Indonesian farmers to produce quality coffee beans that meet world standards. The cause of the less than optimal quality of coffee beans is unpredictable weather and narrow land, which causes the difficulty of the drying process of coffee beans. This research focuses on prototyping an automation system in the IoT-based coffee bean drying process using LDR sensors and telegram applications by optimizing the sensors used. The results showed that the accuracy of the LDR sensor in measuring sunlight intensity has an average error value of 8.06%, which means it has a stable error rate. In the process of drying coffee beans with an initial moisture content of 25% and a weight of 56.89 g when wet, it takes 14 days to reach dryness with a moisture content level of 12% and a weight of 49.49 g, also has an average error value of 1.53% water content sensor testing and 0.57% weight. Transmitting the latest data on the drying process of coffee beans to the telegram application and OLED (Organic Light Emitting Diode), the results are accurate with readings according to the delivery time of once a minute.