MONITORING KONDISI BAGLOG DAN PERTUMBUHAN JAMUR BERBASIS IoT

Abstract

This study aims to design an Internet of Things (IoT) based monitoring system that can integrate monitoring of temperature and carbon dioxide (CO2) concentration in oyster mushroom planting media (baglog) to support optimal growth. This system uses a DS18B20 temperature sensor and an MH-Z19C CO2 sensor connected to an Android application. This application allows monitoring parameters automatically and in real-time. The research results show that this monitoring system is very effective in monitoring baglog conditions, with the results of temperature measurements changing over time and fluctuations in carbon dioxide CO2 concentrations. Even though the MH-Z19C CO2 sensor is only capable of measuring up to a reading limit of 5000 ppm, while the literature states that CO2 concentrations during the incubation period can reach 10,000 to 20,000 ppm, this system is still able to provide very useful information. The application used has a simple and intuitive interface, allowing oyster mushroom cultivators to monitor the condition of their baglog more efficiently, while simplifying the overall cultivation process and improving the quality of the harvest. Keywords: Baglog, CO2 , IoT, Oyter mushroom