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This research focuses on developing an IoT-based automatic irrigation control system for stevia plants to optimize plant growth and water usage efficiency. The system integrates ESP32 microcontroller with soil moisture sensors, DS18B20 temperature sensors, and DHT11 environmental sensors for comprehensive monitoring. Using Research and Development (R&D) methodology with an experimental approach, the system was designed and implemented to automatically control irrigation based on soil moisture levels. The results demonstrate that the system successfully maintains optimal soil moisture by activating the pump when moisture levels fall below 38% and deactivating it above 40%. Real-time monitoring through the Blynk platform enables remote observation and control of environmental parameters. The integration of multiple sensors with IoT technology provides an efficient solution for stevia plant irrigation management, offering potential applications in smart agriculture.

Gas Sulfur adalah salah satu polutan berbahaya bagi manusia. Akibat utama polutan (SO2) terhadap manusia adalah terjadinya iritasi pada sistem pernafasan. Terutama kesehatan bagi usia lanjut dan penderita yang mengalami penyakit kronis pada sistem pernafasan dan kardiovaskular yang sangat sensitif jika kontak dengan (SO2). Sehingga pada penelitian ini perlu adanya sebuah rancang sistem monitoring kadar gas sulfur dioksida (SO2), suhu dan kelembaban pada ruangan. Sistem monitoring ini menggunakan sensor MQ-136 sebagai pendeteksi kadar gas sulfur dioksida (SO2) dengan satuan ppm dan sensor DHT11 sebagai pendeteksi suhu dan kelembapan pada ruangan. Hasil pembacaan kedua sensor tersebut akan diproses melalui Modul Wifi ESP32 dengan mempunyai output Aplikasi BLYNK dan Google Spreadsheet. Sementara output Exhaust Fan menyala sesuai dengan ketentuan Fuzzy Logic Mamdani.

As time goes by, the rapid development of technology has brought various conveniences to people's daily activities.  An example of the continuation of technology is microcontrollers and electronic devices that can be connected to the network. One of them is the industrial sector in the PLTS plant at the 7 Mwp On-Grid PLTS Pt. Infrastructure Terbarukan Cemerlang Sengkol which has PV Box generating equipment that requires temperature and humidity control to determine the cause of corrosion that occurs in the PV Box.This study is intended as a solution in monitoring PV Box generating equipment. This technology development uses the Internet of Things (IoT) which combines the physical and virtual worlds. In this research, the method used is the experimental measurement method, making the system created more real and detailed. In research using DHT11 equipment which has the advantage of being able to estimate temperature and humidity. NodeMCU ESP32 as a microcontroller connected to the blynk platform via the internet functions to manage hardware, show evidence of sensors, secure data, depict data, and others. The results of the research on designing a temperature and humidity monitoring system at the 7 Mwp On-Grid PLTS Pt. Infrastructure Terbarukan Cemerlang Sengkol were successfully created and produced positive effects by being monitored using the blynk platform. This research was carried out in real time using a cell phone wherever you are. This research shows that temperature measurements from the DHT11 sensor obtained an average temperature of 31.78%, while the average humidity value was 85.96%, which indicates that the room being measured had high humidity. By considering these two findings, it can be concluded that the cause of corrosion in the room is high humidity and redox reactions from various substances in the environment.