<em>The Coronavirus </em>(SARS-CoV-2)<em>, also known as </em>COVID-19<em>, has brought a worldwide threat to the living. The whole world is making extraordinary efforts to combat the spread of this deadly disease in terms of infrastructure, finances, data sources, protective equipment, life risk treatment, and several other resources. Artificial intelligence researchers focus their knowledge of expertise on developing mathematical models to analyze this epidemic situation using shared national data. To contribute to the welfare of the living community, this article proposes to utilize the Triple Exponential Smoothing algorithm to predict the development of </em>COVID-19<em> throughout the country by utilizing real-time information from the Task Force for the Acceleration of Handling of Coronavirus Disease </em>2019<em> in Indonesia. Based on forecasting results, in Indonesia by the end of </em>2020, COVID-19<em> will continue to grow significantly, the number of confirmed </em>COVID-19<em> people is </em>386,571<em> people with a death toll of </em>15,622<em>.</em>
4G network is a technology that is currently being developed, known as LTE or 4G. An antenna microstrip for 4G technology is used in this paper. The antenna designed to resonate at a frequency of 1800 MHz-2300 MHz. The antenna design will use FR-4 for its substrate which functions as a dielectric for the antenna. The design is done using the help of CST Studio Suite 2014 software and NI AWR Design Environment v.12 to get the desired antenna characteristics through simulation. From our research we obtained the antenna characteristics such as return loss, VSWR (Voltage Standing Wave Ratio), gain, and bandwidth. In this research, a 4×1 patch rectangular microstrip array antenna has been designed and built that works at a frequency of 2.05 GHz for 4G technology. The antenna design uses the FR-4 for its substrate which functions as a dielectric for the antenna. The design is carried out with the help of CST Studio Suite software to obtain the desired antenna characteristics through simulation. From the research results obtained antenna characteristics such as return loss of -
Large buildings use lots of electrical equipment. The equipment includes air conditioning systems, building transportation, pumps, and others. One of the problems often encountered is the emergence of a decrease in power factor due to inductive loads. These induction machines cause this inductive load. One way to overcome this problem, Capacitor Bank is needed. The building that we observed is a building that has been operating for more than 20 years and has undergone a Single Line Diagram (SLD) change, where the capacitor bank does not work properly so the power factor is close to 0.85. This study rearranges the SLD according to the latest electrical loads in the building. The new SLD results are simulated using the Load Flow Analysis method with ETAP software, to achieve a quality factor of 0.99. In the Individual Compensation Method, it produces a savings of 13.9 kW, and this will result in a return on investment in the 40th month, and in the 2nd method, we use the Global Compensation Method which results in an improvement of 9.7 kW and a return on investment in the 57th month.
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