Inverted Pendulum is a control application which is the basis of science in today‘s technologies such as missiles, aircraft, satellite control, etc. This inverted pendulum receives input then the parameters are determined and the system responds. This research aims to design an inverted pendulum as a source of learning adaptive control. The design process uses the RnD method with phases including requirements analysis, design, implementation, and evaluation. Inverted pendulum design includes mechanical, electronic and source code design.
Hydroponics is a method of growing crops without using soil, with the benefits of controlling the environment and nutrients, conserving water, and reducing labor. The applied technology is used to improve results that have consistency. This research was conducted with the aim of knowing the IoT devices and platforms used in the development of IoT-based hydroponics. Data obtained from the website garuda.ristekbrin.go.id and www.sciencedirect.com from 2016 to 2021. This study is a literature review using the PRISMA method. This method is used for literature review using a systematic and structured basic framework. The results of this study indicate that the variables measured are Temperature, Potential Hydrogen (pH), Total Dissolve Solid, Water Temperature, Humidity, UV, Carbon Dioxide, Soil Moisture and Electrical Conductivity. The device used is the ESP8266, Arduino, and Raspberry PI with the MySQL, Thingspeak, Firebase, Domoticz, and Wyliodrin IoT Platforms.
Currently, the whole world is facing the critical economy crash and enormous casualties as the ongoing coronavirus continues its intensive attack across the planet. Sadly, individuals in billions of numbers continue to face a constant threat from this contagious disease, with the condition unlikely to getting any improvement soon. In this paper, the aim is to provide an overview study of the current situation concerning the COVID-19 outbreak and the potential role of Internet of Things (IoT) as well as the associated technologies acting as technological solution in mitigating the outbreak. Thus, some potential literatures have been briefly reviewed for this paper as a research method. The review results indicate that, several technological solutions are innovated to deal with the COVID-19 pandemic effects. Digital technologies play a major role in the reformation of public health response towards the COVID-19 pandemic. Among digital technologies which have been at the front line include the IoT. Some examples and potential applications of IoT are discussed.
The spread of the corona virus in Indonesia is still growing until now. One important thing to note is about the handling of patients exposed to the coronavirus. This study aims to be able to classify thorax x-ray images against corona virus infection based on the Internet of Things (IoT). IoT is a concept of internet connectivity that is connected continuously between remote devices. This study uses a supervised learning method, namely directed learning in which the expected results of the user have been trained in advance and the information is stored in the system (database). The training data used is a Thorax x-ray image that is processed based on image processing with segmentation and edge detection based on the Sobel operator with real time connected to the internet. The results showed that the 100 times experiment obtained the accuracy value of the normal Thorax X-ray image of 94% and the Thorax covid-19 X-ray image of 96%. Overall system test showed 95% on target and 5% error.
The study was aimed at revealing (1) how the instructional media of industrial electronics integrated with learning style instrument was developed, (2) the feasibility of the instructional media of industrial electronics integrated with the learning style instruments, (3) the effect of the instructional media on learning achievement, and (4) the effect of the instructional media on learning satisfaction. The study employed the Design and Development Research (DDR) model. The development procedure used the Specific Project Phases Cluster. The prototype of the product was tested by subject matter, software, and media experts related to the teaching media as a whole, and through a small group field test among a number of students. The data were collected through questionnaires in the form of Likert scale and were analyzed descriptively quantitatively. The results of the study showed the instructional media was developed through the design and development research (DDR) model with the Design & Development Tools cluster which served as a part of the Product and Tool research main cluster, the instructional media was feasible to use without revision, there was a statistically significant difference in the learning achievement before and after the use of the instructional media, with the effect size of d=1.49 (d>0.8), so the effect of the media was categorized to have a large effect, and the instructional media could bring positive effects on the learning satisfaction.
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