Pada tahun 2015, dengan perkiraan populasi 255 juta orang, Indonesia membutuhkan lahan seluas 13,38 juta hektar. Artinya, dalam beberapa tahun kedepan, Indonesia akan mengalami krisis lahan pertanian sehingga Indonesia dituntut untuk meningkatkan total areal budidaya. Hal ini disebabkan oleh meningkatnya perkembangan industri dan jasa, sehingga pertanian konvensional kurang kompetitif karena tingginya harga tanah. Salah satu pengembangan teknologi pertanian pertanian disebarkan teknologi budidaya pertanian yang layak dengan teknologi smart growbox memberikan alternatif bagi mereka yang tidak memiliki lahan untuk pertanian. Desain smartbox dengan sistem pemantauan suhu dan kelembaban melalui internet telah dirancang, dengan menggunakan sensor suhu dan kelembaban (DHT22) serta sensor kelembaban tanah (FC-28), maka kondisi tanaman dan lingkungannya akan mudah dipantau oleh melihat nilai output dari sebuah sensor. Hasil pengujian kecepatan rata -rata respon manual control via perangkat berbasis web adalah 5 detik. Kontrol kecepatan respon secara manual tergantung pada lalu lintas jaringan dan kondisi jaringan. Sistem siap untuk digunakan.
This research was aims to design a prototype and application for early detection of Happy Hypoxia symptoms in COVID-19 patients based on the Internet of Things (IoT).The experimental board consists of a microcontroller integrated with a pulse oximetry sensor, a heart rate sensor and a body temperature sensor. To determine the feasibility of the tool, an accuracy test is carried out. Accuracy shows the value of the proximity of the measurement results to the reference value or standard value. Accuracy is obtained by calculating the error value. The accuracy of the sensors used in this study refers to standard medical equipment that has been calibrated. In this study, the accuracy value was obtained by referring to the mean of error rate of each sensor. The sensor reading value is sent from the microcontroller to firebase as a cloud database and then displayed on the application dashboard as a user interface. From this data, it is hoped that it can help COVID-19 sufferers to detect the symptoms of Happy Hypoxia and help medical experts for prognostic or therapeutic purposes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.