Milk consumption and the need for beef cattle for food purposes or sacrificial purposes continue to increase from year to year. This increase is in line with the increasing level of the economy and awareness of the need for nutritious food. However, the increase in demand still faces many production constraints due to the difficulties faced by farmers, the decline in cattle production from year to year in Indonesia. This causes Indonesia to have to import beef for 35.95% of the total national beef consumption. With many factors that affect the decline in the production rate of dairy cows or beef cattle every year, one of them is air pollution and poor air quality in cages. Along with the development of technology, a monitoring and detection system for air cleanliness in cattle pens was created, using the MQ-7 sensor as the concentration of carbon monoxide, the MQ-135 sensor as the concentration of ammonia gas, the MQ-2 sensor as the smoke detection, and When the air pollution value of each sensor input is according to the air pollution standard index (ISPU), the outputs namely indicator lights, buzzers and blowers will be on, then there will be temporary air neutralization in the cage. This tool is made easier by internet of things technology, so that it can send notifications via telegram and can see the level of air pollution levels through the web.

Indoor air quality plays a vital role in public health, especially since people spend about 90% of their time indoors. Poor indoor air quality, often caused by chemical, physical, and biological pollutants, can severely impact health, comfort, and productivity. To tackle this issue, a robust air quality monitoring and control system was designed, featuring an ESP32 microcontroller paired with sensors such as the GP2Y1010AU0F dust sensor, MQ-7 carbon monoxide sensor, and MQ-2 smoke sensor, along with a fan to enhance air circulation. This system is capable of detecting air quality issues and taking corrective action. The ESP32 module, integrated with the Internet of Things (IoT) technology, enables real-time transmission of sensor data to a web server for continuous monitoring and prompt response. Researchers have made significant progress in creating an effective, system-based solution to improve and maintain indoor air quality

Energi matahari sebagai sumber energi tak terbatas, memainkan peran penting sebagai sumber daya terbarukan. Keberlimpahan energi matahari, terutama di wilayah Indonesia, menjadikannya potensi besar untuk menghasilkan energi listrik melalui pemanfaatan panel surya. Sehingga pada penelitian ini perlu adanya sebuah perancangan sistem pemanfaatan energi matahari menggunakan panel surya dengan sistem tracking dual axis agar posisi panel surya selalu menghadap matahari dan juga untuk mengoptimalkan produksi daya pada panel surya. Dalam penelitian ini, digunakan metode Fuzzy Logic Mamdani sebagai sistem kendali untuk solar tracking yang akan diimplementasikan melalui mikrokontroler ESP32. Selain itu, hasil pemantauan (output monitoring) dapat ditampilkan pada Haiwel Cloud Scada dengan menggunakan protokol Modbus.