Teachers use Google Classroom for online learning so that learning continues despite the policy of learning from home and the existence of distance restrictions. This study aims to analyze the use of Google Classroom in online learning. This study uses a quantitative survey method involving 84 students and 5 teachers. Research data collection through surveys containing several questions assisted through Google Forms. Likert scale questionnaire (1-5) was used to collect data on student perceptions of teacher teaching skills, implementation, barriers to learning, and student satisfaction. Qualitative data were analyzed by descriptive technique. The results of this study indicate that Hybrid Learning by utilizing Google Classroom, especially online learning is able to effectively support the learning process based on teacher teaching skills data by 85%, learning implementation by 85%, and student satisfaction by 97.6%. Thus, Google Classroom is the right application for teachers to use in online learning and distance learning. The obstacles in online learning can be optimized through classroom learning. Suggestions for further research is to develop teaching materials both printed and electronic using Google Classroom.
DC motor is an electrical motor widely used for industrial applications, mostly to support production processes. It is known for its flexibility and operational-friendly characteristics. However, the speed of the DC motor needs to be controlled to have desired speed performance or transient response, especially when it is loaded. This paper aims to design a DC motor model and its speed controller. First, the state space representation of a DC motor was modeled. Then, the controllability and observability were analyzed. The transfer function was made based on the model after the model was ensured to be fully controllable and observable. Therefore, a fuzzy logic controller is employed as its speed controller. Fuzzy logic controller provides the best system performance among other algorithms; the overshoot was successfully eliminated, rise time was improved, and the steady-state error was minimized. The proposed control algorithm showed that the speed controller of the DC motor, which was designed based on the fuzzy logic controller, could quickly control the speed of the DC motor. The detail of resulted system performance was 2.427 seconds of rising time, 11 seconds of settling time, and only required 12 seconds to reach the steady state. These results were proved faster and better than the system performance of PI and PID controllers.
Soyo Hamlet is led by Mr. Suranto as the head of the hamlet. The hamlet itself consists of eight RTs with 173 family heads. The hamlet is located in a mountainous area in the Kulon Progo district. Soyono Hamlet is bordered by Sidomulyo Hamlet and Mount Kelir Hamlet. Soyo Hamlet, which is located in a mountainous area, has many problems. One of the problems that have come to our attention is the problem of vulnerability to natural disasters. Natural disasters that often occur in the village are landslides. It is feared that in the rainy season like today, heavy rains can cause landslides. Based on the above problems, this community service designs and implements a landslide early warning tool. This tool is made using the main component is a microcontroller which is used as a data processor, a sensor uses a potentiometer to detect ground movement, and a siren. In addition to installing landslide equipment, this community service also provides lessons on landslide recovery
If there is no health record history of a patient then it will be very difficult for treating in different hospitals. Especially for travelers and in the case of emergency it can ruin the auspicious treatment and diagnosis. If the smart health records are based on Cloud then there is higher difficulties for protection and security, the open difficulties of interoperability and joining and also lack of every day support for the high accessibility of wellbeing history. The smart health records that are already exists can store only limited about of data of patients and they stored data only for specific hospital and do not support versatility of patients crosswise over various medical clinics. The technology that use better treatment for patients, improve quality of life for everyone and provide better diagnostic tools can be consider as smart health.
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.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.