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Technological developments encourage changes in the way decisions are made. In terms of stopping the application of urea fertilizer, farmers still rely on BWD observations. In this study, using the RnD method by directly observing the research location in the farmer group Gapoktan, in the village of Tosari, Kendan district and analyzing the problem then making a prototype which will be tested by experts. In this study, a tool was made using NodeMCU with TCS3200 sensor to detect color, which was then sent via the internet to the database using IoT technology. In this study, using several trials with different parameters of urea fertilizer use and the results of the TCS3200 sensor can detect colors according to what is on the BWD and send data to the database via the internet. In this system, farmers can recommend the use of suitable urea fertilizers outside a certain area so as to minimize errors in the observation on BWD, this will make the use of urea fertilizer to be the right dose.  

Human daily life depends on air, so air quality needs to be protected especially against pollution. Decreasing air quality due to dust pollution can result in ARI. Makes it easier to measure ambient air and air temperature using internet-based technology. Designing internet-based dust and temperature measuring devices using the gp2y1010au0f type dust sensor, and DHS11 sensor as a temperature sensor, amplifier circuit, NodemCU microcontroller, and LCD (Liquid Crystal Display). The measurement application is carried out at the location of the PT. Djabus Tunas Utama Ngoro Mojokerto East Java at 10 sampling points around the mixing tube. The measurement results show the concentration carried by ambient air quality standards when the engine stops, so it is safe for employees. When the machine is mixing and the machine is not mixing (ordinary conditions) the concentration of particulates and the temperature exceeds the ambient air quality standard, for that all employees are required to use PPE.

Pemupukan adalah bagian penting dari budidaya padi. Kebutuhan pupuk nitrogen yang tidak tepat dan tidak terukur akan menjadi faktor pengurang optimalnya produksi pertanian. Penelitian ini bertujuan untuk mengetahui pengaruh identifikasi kebutuhan pupuk nitrogen menggunakan Bagan Warna Daun (BGD) pada tanaman padi. Group eksperimental pada penelitian ini menggunakan media pendukung Microcontroller NodeMcu sebagai pemroses identifikasi warna daun padi dan sekaligus menentukan data kebutuhan pupuk Nitrogen. Informasi kebutuhan pupuk Nitrogen tersimpan di internet berbasis Internet On Things (IOT) dan dapat diakses menggunakan website. Penelitian ini dilakukan pada petani di desa lumbung padi di Jawa Tengah. Berdasarkan analisis data dan pembahasan hasil penelitian diperoleh hasil t­­hitung ≥ ttabel yaitu 2,976 ≥ 2,262  maka H0 ditolak atau H1 diterima sehingga dapat disimpulkan bahwa pengaruh identifikasi kebutuhan pupuk Nitrogen menggunakan bagan warna daun (BGD) berbasis Internet On Things (IOT) terhadap tanaman padi dapat diterima dan efektifitas dosis penggunakan pupuk menjadi lebih efisien 50%.