Optimization of Herbal Dryer System Based on Smart Fuzzy and Internet of Thing (IOT)

The herbal medicine industry is currently growing rapidly with increasing public interest in herbal medicine in Indonesia. Medicinal plant dryers have been developed but are still using conventional methods. Proper drying method is very influential on the content of active ingredients found in plants. Each type of plant has a different response, there are some plants that are sensitive to direct sunlight and temperatures that are too high and some are not. This research will take part in producing an adaptive medicinal plant dryer product with the help of a microcontroller that will be used for the herbal medicine industry. In addition, with an intelligent system based on the Internet of Thing (IoT), this tool can be monitored and controlled remotely so that it can make it easier for users to know the current conditions of herbs that are being dried in order to get effective and efficient drying results. This research is expected to improve the quality of medicinal plants in accordance with the needs of the herbal medicine industry to produce good quality drugs according to the standards of Good Manufacturing Practices (GMP)

Autonomous Quadcopter Based Human Detection System for Search and Rescue

The development of navigation and tracking of an object using unmanned aerial vehicles (UAV) has been evolved more advanced. The utilization of this technology is scattered throughout the area including for search and rescue in small and large areas.  In this research, the UAV used is a multirotor based on camera for human detection that has been developed and integrated into a fully autonomous system. The first stage is designing a controller and the second step is to integrate the companion computer on the quadcopter that has the OpenCV library installed with the HOG and SVM methods. The system presented in this paper is able to perform the stable flying via PID controller. The output response of roll, pitch, and yaw has an overshoot of 0.5 %. Identify target in the form of human body in real-time and identify target location based on the direction of the Earth's compass with test result has average error, latitude 1 = 0.026%, longitude 1 = 0.034%, latitude 2 = 0.016%, and longitude 2 = 0.00168%