ABSTRACT
Many cities in Indonesia are prone to disasters, and the Coronavirus disease (COVID-19) pandemic taught a lesson on how important for a city to be resilient to disaster. Previous studies indicated that smart city initiatives could improve a city's resilience toward disasters. This paper sheds light on how implementing innovative initiatives can improve a city's resilience toward disasters. We review the existing literature on smart city and resilient city concepts and conduct a focus group discussion with the representative of the local government of Tangerang city, Banten province of Indonesia, to understand how the city improves its resilience towards disaster by implementing smart city initiatives. The results indicate that city has developed various software applications and community engagement programs to break the chain of transmission. The results also suggest that city leadership and citizen engagement play an essential role in developing a smart and resilient city. © Published under licence by IOP Publishing Ltd.
ABSTRACT
The purpose of this study is to find out the relationship between the tourism products offered, the tourism services offered and the promotional activities offered whether directly or indirectly affect the interest of tourists to visit during the Pandemic through product pricing strategies. In this study, the only variables that exist are marketing activities of tourism services or services such as products offered, tourist services offered and promotional activities, which only focus on explaining the effect of these three variables on tourist interest in visiting tourist attractions during a pandemic, while the variable intervening marketing activities or the marketing mix of product pricing strategies that are the connecting variables that affect tourist interest in visiting tourist attractions during a pandemic. The research method used in this research is descriptive quantitative research method using path analysis. In this study, the independent variables are marketing activities or marketing mix such as: tourism services such as, products offered, tourism services offered and promotional activities to be carried out, while for the intervening variable is the marketing activity variable, namely the product pricing strategy and the dependent variable is the interest of tourists visiting during a pandemic using SPSS 20. Partially, only the variables of promotional activities carried out have a positive and significant effect on the variableproduct pricing strategies during a pandemic as well as variables of tourist interest in visiting during a pandemic. Meanwhile, simultaneously, the variables of the products offered, the tourism services offered and the promotional activities that will be carried out have a positive and significant effect on the variable of tourist interest in visiting during the pandemic through the variable pricing strategy of the product during the pandemic as an intervening variable. Through the results of research, it has been stated that the products and services offered through online marketing during the pandemic have not been able to increase the interest of tourists to visit tourist attractions during the COVID-19 pandemic, while the owners of tourist attractions must carry out vigorous promotional activities so that tourists are interested in visiting. Tourist attractions, thus influencing the pricing strategy that will be applied to tourism products and services. © 2022 Editura Universitatii din Oradea. All rights reserved.
ABSTRACT
Radiology department at a tertiary referral hospital faces service operation challenges such as huge and various patient arrival, which can increase the probability of patient queuing. During COVID-19 pandemic, it is mandatory to apply social distancing protocol in the radiology department. A strategy to prevent accumulation of patients at one spot would be required. The aim of this study is to identify an alternative solution which can reduce the patient's waiting time in MRI services. Discrete event simulation (DES) is used for this study by constructing several improvement scenarios with Arenao simulation software. Statistical analysis is used to test the validity of base case scenario model, and to investigate performance of the improvement scenarios. The result of this study shows that the selected scenario is able to reduce 83.6% of patient's length of stay, which lead into a more efficient MRI services in radiology department, be able to serve patients more effectively, and thus increase the patient satisfaction. The result of the simulation can be used by the hospital management to improve the operational performance of the radiology department. © 2021 IEEE.