ABSTRACT
The phenomenon of the Cocid-19 pandemic affects various fields, one of which is the field of architecture where the concept of architectural design must adapt to a new life order that pays great attention to health protocols. Shopping centers where one of the dominant groups of tenants is a restaurant, must adjust the design of the space in it in order to attract visitors to keep coming in the New Normal era. This study was conducted to examine the atmosphere of the indoor shop in the restaurant in the Manado development center that can maintain visitor interest in the New Normal era during the Covid-19 virus pandemic. The approach used to solve research problems is a rationalistic approach. The main theory used is the Environmental Attribute Theory from Gerald D. Weisman (1981). The analysis technique for object-specific uses statistical quantitative analysis techniques that analyze the mean. The results of the study are expected to describe the factors of the store atmosphere in the interior of the restaurant in the center of Manado Town Square which can maintain visitor interest during the New Normal period due to the impact of the Covid-19 pandemic.
ABSTRACT
The COVID-19 pandemic has changed the pattern of human life, one of the impacts of this change is people’s economic activities going digital by utilizing supply chain information systems. The purpose of this study is to examine how much influence supply chain information systems have on the growth of the digital economy of developing countries, in this case Indonesia, along with transportation needs for logistics. This paper uses a systems meta-analysis by conducting a survey and review of several articles related to supply chains, digital economy, and logistics that have been published in reputable international journals. Coupled with 55 respondents, 30 endusers, 10 resellers, market place users and drop shippers, as well as 5 domestic logistics service providers. To test the consistency of the answers to the questions that have been asked, validity and reliability tests were conducted. After being calculated using simple statistics, it was found that the supply chain information system after the COVID-19 pandemic was very influential, although partial to the enormous increase in economic growth towards digital and the growth of logistics services had increased.
ABSTRACT
The pandemic situation caused by coronavirus (COVID-19) which has infected more than 200 countries around the world. Every country should have strategic planning and a roadmap regarding how to stop the spread of the virus. One of those is trying to build an application to be an aggregator and a tool supporting other strategic planning. In Indonesia, Ministry of Communication and Informatics (KEMKOMINFO) has the responsibility to build the application to stop the spread of the virus and trace every movement done by the user or people. An official application built by KEMKOMINFO is PeduliLindungi. PeduliLindungi is an application that helps the government in tracking to stop the spread of Coronavirus Disease (COVID-19). On the other hand, PeduliLindungi is more complex because it involves many entities. And of course, it will cause a high impact level of Data Integration and Interoperability (DII). So, in this paper researchers will try to get all issues of DII in the PeduliLindungi application and try to analyze the system architecture and subsequently give solution to refactor the architecture used by PeduliLindungi. © 2022 IEEE.
ABSTRACT
The COVID-19 outbreak has changed the way organizations work. Now employees can work remotely from anywhere and it is predicted to stay that way even after the pandemic has been overcome. Problems arise regarding the effective media for collaboration and knowledge sharing, as much as possible without losing employee engagement. Enterprise social media (ESM) offers a solution for that problem, as it is a social media that implement only for internal use and is open to all organization members. To avoid misleading implementation, organizations must understand in advance what factors affect successful ESM implementation, and also what platforms are widely used out there. This study aims to identify determinants and platforms used in the implementation of ESM in organizations. To support future research, this study also tries to identify what future works are suggested by researchers. The methodology applied in this systematic literature review uses the Kitchenham approach, with an exploration of related research published in five database sources during 2016-2021. From the data extraction of 60 final article selection results, it is found that the most mentioned determinant is clearly defined rules, manager support, fit with actual business needs, and individual motivation. For ESM platforms, Yammer is the platform that is widely used out there. Aside from expanding the research scope and adding variables, many researchers suggested carrying out longitudinal studies and multiple method data collections for future works. Overview of ESM research is also discussed.
ABSTRACT
Education has shifted towards the online system over the past year due to the coronavirus disease (COVID-19) outbreak. The purpose of this study is to explore and analyze Student-Centered E-Learning Environment (SCELE) as the Moodle learning system fully utilized by the Faculty of Computer Science in Universitas Indonesia for the learning process during the pandemic. A conceptual model was proposed by incorporating the Information System Success Model and the Technology Acceptance Model with the addition of interaction factors. This model was built to assess the factors contributing to influence the success of the e-learning system. One hundred active students from the faculty participated in the survey, and the data analysis was conducted with the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach. Through hypothesis analysis and extended discussion, this research's findings suggested the quality of information and system as the factors that hold significant roles in the success of SCELE as an online learning system, along with the interaction mediated by perceived usefulness.
ABSTRACT
Attendance system has evolved along with the industrial revolution that now has reached a new era. Furthermore, nowadays with the struck of COVID-19, the government issued a prohibition policy towards companies to urge their employees to work from home (WFH). Several issues have come across the Human Resources Development (HRD) manager regarding this policy. Employees' taking vacation when they are obliged to work from home and employees' faking their attendance are two of many problems regarding this policy. Hence, this study aims to design a relevant attendance system model that will overcome these problems with the integration of face recognition and geolocation through mobile platform. The study built the proposed attendance system with the approach of User-Centered Design (UCD) methodology. The findings within the study shows that above 80% of participants are satisfied with the proposed model and are ready to implement the designed system in their organizations respectively. © 2021 IEEE.
ABSTRACT
Webinars have been widely used in the education before the COVID-19 pandemic due to the application development in the face-to-face learning process. When someday the pandemic ends, will the habit of using webinar technology also end? This study aims to examine what factors influence participants to continue using webinars during the new normal. The conceptual model was built using the Stimulus-Organism-Response (S-O-R) theory, involving 429 respondents. Their quantitative perceptions were processed using PLS-SEM assisted by Smart PLS 3.3.2 software. Factors that influence Satisfaction (SAT) and Perceived Usefulness (USE) are Perceived Enjoyment (ENJ), Perceived Ease of Use (EOU), Perceived Security (SEC), and Perceived Content Quality (QUA) while Webinar Application Continuous Intention (CONT) factor are influenced by Social Influence (INF), Satisfaction (SAT), and Perceived Usefulness (USE). Thus, the webinar application will continue to be used together with the face-to-face method, which will be opened gradually. © 2021 IEEE.
ABSTRACT
The tourism industry is the most significant global Green House Gases (GHGs) contributor, which is often specifically produced by exploratory activities. This leads to the performance of several actions to reduce carbon emissions and maintain sustainable development. Since the Indonesian Tourism Village is a “carbon emission contributor and COVID-19 pandemic impact victim”, the low-carbon exploration should be necessarily implemented to achieve sustainability. Therefore, this study aims to determine the carbon footprint of solid waste produced by visitors, population, and buildings within seven certified Tourism Villages in Central Java (Kandri, Lerep, Samiran, Karangrejo, Candirejo, Samiran, and Dieng Kulon) and Special Region of Yogyakarta (Pentingsari) Provinces, Indonesia. This was conducted through a mixed method containing quantitative and analytical techniques. The quantitative method was conducted through a field survey of seven Tourism Villages to obtain and analyze data on the population, infrastructures, situations, and environments. Meanwhile, the analytical method was conducted by calculating the carbon footprint of solid waste and buildings produced by seven Tourism Villages. The results showed that Dieng Kulon had the biggest CO2 emissions from all sources (solid waste produced by visitors, population, and buildings). In addition, Candirejo had the lowest solid waste emission produced by visitors and the population before the impact of the pandemic. During the COVID-19 period, Kandri and Samiran were observed as the lowest contributors of solid-waste CO2 emission produced by visitors and buildings, respectively. This indicated that the sustainability of Tourism Villages helped in increasing income as well as obtaining a cleaner and healthier environment. After the pandemic period, these villages should subsequently lead the economic recovery of rural communities to achieve sustainable development goals through the reduction of CO2 emission. In addition, the “The Low-Carbon Sustainable Tourism Village Model”was proposed by this study to answer the challenge of sustainability.
ABSTRACT
Tourism is one of the largest industries globally, which has experienced a significant increase in growth from year to year. Pandemic Covid-19 has had a significant impact on tourism in Indonesia, with a decrease in the number of tourists. It also has an impact on the income of the tourism sector. However, there are still opportunities for the recovery of the tourism sector by further enhancing the role of technology. Information technology allows each individual to collaborate among other individuals, such as collaboration in search, sharing and using the information. However, to plan a tour, using information technology alone is not enough. There needs to be a collaborative role between individuals in providing relevant information. This study aims to explain the role of the collaborative system in supporting tourism and the factors that affect the collaborative system. This paper used the Kitchenham Guideline, which consists of formulating review protocol, Generate Search Strategy, Define Inclusion and Exclusion criteria, Quality Assessment, and Data Extraction. Based on the selection, 15 articles came from several databases, including Scopus, Science Direct, IEEE, and ACM Digital Library. The results of the literature review state that collaborative systems in tourism can help improve tourism services by providing information to support travel planning decisions and support online travel experiences. The benefits of a collaborative system can also affect factors such as: sharing information, user identification, social experience, exploration, perceived usefulness, perceived ease of use, social support, user experience and capabilities, effective service improvement, engagement, and enjoyment. From these factors, this study proposed a new conceptual model.. © 2021 IEEE.
ABSTRACT
Widespread lockdowns across the globe during Covid-19 outbreak forced the universities to abruptly adopt full-online distance learning. Such unprecedented abrupt adoption requires a degree of student readiness to ensure the success of distance learning delivery. However, prior research about student readiness of e-Learning adoption is still limited to discussing proactive adoption in normal conditions. To address this issue, this study investigated the factors that affect the student's perceived readiness for abrupt distance learning adoption. By applying Structural Equation Modelling (SEM) using the Partial Least Square algorithm, this study found that self-competence, comfort with e-Learning, uncertainty avoidance, financial ability, and technological facilitating conditions are factors that significantly affect student's perceived readiness. Based on this finding, faculties are recommended to be an early adopter of e-Learning, to provide an e-Learning platform with excellent usability and effective instructional design for the students, to provide clear instructions for both students and instructors, and to provide needed resources (e.g. internet connection) to the students. Moreover, future studies could be focused on lecturers' or faculties' readiness for abrupt distance learning adoption. © 2020 IEEE.