Sistem Penjemuran Jagung Otomatis Berbasis Internet of Things (Iot) Menggunakan Rain Sensor, Sensor Sht31-D dan Mikrokontroler Esp32

BANUSU, Krisanti Maurice (2026) Sistem Penjemuran Jagung Otomatis Berbasis Internet of Things (Iot) Menggunakan Rain Sensor, Sensor Sht31-D dan Mikrokontroler Esp32. Undergraduate thesis, Universitas Katolik Widya Mandira.

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Abstract

Post-harvest corn drying is still commonly done manually and is highly dependent on weather conditions. This process usually takes 3–7 days in sunny weather, but it can take longer during cloudy or humid conditions. In addition, the drying process requires continuous monitoring because sudden rain can make the corn wet again, which reduces its quality and increases the risk of mold growth. This study aims to develop an automatic corn drying system based on the Internet of Things (IoT) that can respond to weather conditions and monitor the dryness level of corn in realtime using a rain sensor and an SHT31-D humidity sensor. The rain sensor is used to detect rainfall, while the SHT31-D sensor measures air humidity as an indicator of corn condition. The ESP32 microcontroller processes the sensor data and controls the movement of the drying rack using a servo motor, as well as sends notifications through the Blynk application automatically.This system is designed to reduce dependence on manual processes, improve drying efficiency, and enable real-time remote monitoring. The results of this study show that the system can automatically detect rain, control the drying rack, and display humidity information through the Blynk application. Therefore, this system can make the corn drying process easier, more efficient, and reduce the need for continuous manual supervision.

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