Online physics practicum supported by wireless sensor network

This study proposes an online practicum model supported by Wireless Sensor Network (WSN) to implement a physics practicum after the Covid 19 Pandemic. This system is guided by exploratory inquiry questions to help structure students' mindsets in answering investigative questions. Online practicum is also integrated with video conferencing, chat, evaluation system, and lab inquiry stages. The sensor measurement process is carried out directly via live streaming video, where the sensor measurement results are sent in real-time to the website via an internet connection. This study was conducted on 25 students (10 male and 15 female) who were prospective physics teachers. This study used a pre-experimental method with a one-group pretest and post-test design. The study results show that the online practicum model supported by WSN can effectively increase the inquiry skill of prospective physics teacher students. Usability test results obtained an average score of SUS 91.63, which means the practicum system can be categorized as having a user acceptance level of Excellent.

THE RELATIONSHIP BETWEEN E-LEARNING AND STUDENT SATISFACTION AS MARKETING STRATEGY: A CASE STUDY AT A PRIVATE UNIVERSITY

Universities have incorporated e-learning into their educational structures because of the unanticipated transition from conventional learning to digital and hybrid learning methods to the closure of educational facilities during the COVID-19 pandemic. This study aims to ascertain how e-learning influences students' satisfaction at private universities and to develop a marketing strategy to keep institutions of higher learning competitive throughout the COVID-19 or similarly disrupting events. In the study, we utilise a quantitative descriptive method. Collecting data was done by distributing e-questionnaires to students at a private university in Bandung. The sampling technique used random sampling with 245 respondents. The data was subjected to numerous linear regression analyses using SPSS. ICT, ESQ, and EIQ are the study's dependent variables, and e-learning is the study's independent variable. The findings indicate that all variables influence and significance of e-learning and students' satisfaction with 65.9%, which can enhance learning outcomes in private universities. © 2022, Institute of Eastern Europe and Central Asia. All rights reserved.

Comparison of Indonesian and India Government Vaccination Policy Campaigns via Twitter Social Media

The covid-19 pandemic that attacks the whole world cannot be separated from Indonesia and India, there are many cases of covid in these two countries, this must be anticipated in terms of giving vaccines, of course Indonesia and India must have quite difficult challenges in the vaccination program, this requires a Policy Campaign Vaccination via Twitter Social Media, This study aims to analyze and determine the use of Twitter social media as a medium for the Indonesian and Indian Government Policy Campaigns in providing information to optimize vaccination strategies in relation to the start of the campaign, vaccination coverage, vaccination schedule, vaccination rate, and vaccine efficiency in Indonesia. each country. The research method combines qualitative analysis with secondary data collected from the Indonesian government’s social media accounts used are @kemenkesri and @bnpb_indonesia while the Indian government twitter accounts are @mohfw_india and @pib_india. To visualize the data analysis, Nvivo12 plus software was used, specifically the Twitter Sociogram data collection tool. Based on these findings, the Indonesian and Indian governments were successful in their Vaccination Policy Campaign through Twitter Social Media. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Bibliometric Analysis of Computational Chemistry Research and Its Correlation with Covid-19 Pandemic

Computational Chemistry is a branch of chemistry that employs computer simulations to assist in resolving problems regarding chemistry. The goal of this research is to combine mapping analysis from VOSviewer software to analyze bibliometrics in Computational Chemistry field. The data were obtained through the use of a reference manager application with "Computational Chemistry" as the keyword. We collected 1000 articles published between 2017 - 2021 in the search results. According to the findings, research in the field of Computational Chemistry decreased from 2018 to 2020, but increased since 2021. The primary reason for this is that the pandemic has had a significant impact on Computational Chemistry, which is related to laboratory engineering and molecular modeling. This study demonstrates the value of bibliometric analysis in providing analytical data about a phenomenon. The findings of this study are beneficial for future research to find potential areas of Computational Chemistry that can be studied further, due to the discovery of less-researched areas. © 2022. All Rights Reserved.

Elevator Door Automatic Stopper for Covid-19 Physical Distancing

Fast spreading covid-19 demand people to quickly cut the transmission over humans. Physical distancing is one of the efforts by keeping safe distance with at least 1 meter between people. This work is to find ways and implement computer vision methods to monitor, detect, and provide warnings of violation of physical distancing in public areas such as in elevators (lifts) which are equipped with monitoring cameras. Yolov3 still has problem of detecting half or full body proportion of human. Finally in this work, human proportional face over body detection has been checked whether it is full body or half body bounding boxes of human object detection to increase accuracy by 12.5 percent of distance measurement. Uncertainty of changing state of microcontroller has also been solved by collecting consecutive states which contain a number of warning/no warning condition of physical distancing violation. © 2021 ACM.

PID-Based Fraction of Inspired Oxygen (FiO2) Control System in ICU Ventilator

Coronavirus Disease (COVID-19) affects the respiratory system in affected patients, so treatment is needed in the form of respiratory assistance, both invasive and non-invasive. The ICU ventilator system is one of the breathing apparatus that works invasively where its use is by inserting a breathing apparatus through the patient's mouth or nose. The fraction of inspired oxygen (FiO2) is one of the variables that must be regulated in an ICU ventilator system because it affects the level of oxygen that enters the human body. Mixing of air and oxygen gas is done automatically using PID control which is applied to the proportional flow control valve of air and oxygen. This paper discusses the control of PID-based Fraction of inspired oxygen implanted in the ICU Ventilator. Adjusting the ratio of airflow and oxygen mixed in the mixing tank will produce airflow with the desired fraction of inspired oxygen. Teensy 4.0 Microcontroller and the C programming language are used to execute the PID control algorithm. In this study, the best Kp, Ki, and Kd values were determined using the PID Tuner, for the air proportional flow setpoint and oxygen proportional flow setpoints of 30, 60, and 100 LPM, respectively. These values are able to produce precise and accurate control of the FiO2 according to the desired setpoint on the ICU Ventilator. The results of the FiO2 test obtained an average value for rise time of 13478 ms, overshoot of 0.11%, settling time of 19803 ms, and steady-state error of 1.15%. Meanwhile, the results of the inspiratory flow test obtained an average value for a rise time of 964 ms, an overshoot of 5.43%, a settling time of 4697 ms, and a steady-state error of 0.98%. © 2021 IEEE.