ABSTRACT
The COVID-19 pandemic has resulted in various responses to activities from the community, one of which is sports activities. Exercise believes in increasing the body's immunity so that during the COVID-19 pandemic, many people exercise. One of the sports that has increased during the COVID-19 pandemic is cycling, which is happening in Indonesia, especially Jakarta. Cycling activities during the COVID-19 pandemic have increased even though, on the other hand, the government is enforcing rules regarding restrictions on social activities to avoid transmission of the COVID-19 virus. This phenomenon has received a response from the Regional Police Chief and the Governor, confiscating bicycles for cyclists who continue to carry out their activities. Based on this issue, this study explores the social and hedonic factors that influence the intention to use mobile cyclist applications that occurred on cyclists during the COVID-19 pandemic. This research was facilitated by the SPSS application using two techniques: Crosstabulation A study of 440 users of mobile cyclist applications showed an increase in new cyclists, especially women, and the average age was under 30 years. Apart from that, social factors had a significant negative effect of 11.7% and hedonic factors of 98.4%. This research is essential for industry and scientific development in the future. © 2021 IEEE.
ABSTRACT
The outbreak of acute respiratory syndrome virus disease in China at the end of 2019 has caused a global epidemic as well as high mortality rates in affected countries. This research aimed at examining the extent of the spread of confirmed Covid-19 cases in Tangerang City. The data used included the data of confirmed Covid-19 patients. Such data was integrated with geospatial data found in 13 sub-districts in Tangerang City. The prediction of the spread of confirmed Covid-19 cases was made by using Linear Regression model. The results of the MAPE calculation with a value below 10% in 13 districts resulted in a very good predictive value. This prediction resulted in a graph and was connected to each other in a thematic map coordinate point system. The results of the Covid-19 spread prediction were divided into several districts and indicated with different color variations. Therefore, the darker the resulting color on the thematic map visualization, indicates an increase in Covid-19 cases that have occurred. © 2021 IEEE.
ABSTRACT
This study aims to analyze a person's intention in using self-service technology (SST) services during the pandemic COVID-19. Where this time, raising problems one of the social distancing that affects a service provided, especially on services that use technology that applies SST. This study develops from previous research where the customer has satisfaction in using SST services. Still, this use does not know a person intention to use SST services, so it is necessary to develop with several factors the adoption of technology, namely influence that can make a person intention to use. The research framework of this research consists of several factors and indicators, namely efficiency (4 indicators), Reliability (4 indicators), security (3 indicators), Convenience (3 indicators), Ease of use (4 indicators). This study uses an online survey with google form for users of self-service technology services in 5 major cities in Indonesia. Dissemination of the survey for three months, and the obtained were 100 respondents valid. This research conducts testing using Smarpls v3.0. The results of this study found two factors that influence perceived usefulness, namely: efficiency and reliability, and found three factors that did not have an impact, namely Security factors, Convenience Factors, Perceived Ease of use, and Service Trust do not have an impact on perceived usefulness. This result is a very interesting finding because during the period pandemic COVID-19. These factors are no longer the top priority in the use of SST services and do not affect who intention to use a technology service. Thus, it can be concluded that whose intention at a certain level of the problem will prioritize the reliability and efficiency of the system for service. This factor can be the focus of the company in developing systems that adopt Self-service technology. © 2020 ASTES Publishers. All rights reserved.