ABSTRACT
The COVID-19 pandemic has caused global disruption that has significantly affected various supply chain systems worldwide. Several garments manufacturers in Indonesia have struggled to get material supplies because of a sudden stop in suppliers' operations. Besides COVID-19, various disruptions, either small or large, can occasionally occur within companies' supply chain systems. Several strategies have been applied to create resilient and robust supply chain systems to both anticipate and recover from the threat of disruption. Three primary strategies are considered in this research: the sourcing strategy, resilience strategy, and supply base strategy. An analysis with quantifiable parameters was conducted to evaluate the application of the strategies within the case study company's supply chain network. An investigation was carried out by developing a two-stage stochastic programming model that includes 128 disruption scenarios. This model also includes two types of disruption: Low Impact High Frequency (LIHF) and High Impact Low Frequency (HILF). Based on the results of the analysis, the strategies are effective in creating a resilient supply chain system. Compared with the past condition, the implementation of the strategies as mentioned earlier leads to a lower total cost and maximum service level. © 2023 Author(s).
ABSTRACT
The World Health Organization (WHO) has declared Covid-19 as a pandemic since March 11, 2020. The emergence of the Covid-19 pandemic has caused a lot of discussion around the world. Sentiment Analysis and Topic Modeling using Latent Dirichlet Allocation (LDA) can be used to extract patterns or information from a set of texts. This study uses a Systematic Literature Review (SLR) to see what the most dominant topics are discussed during the Covid-19 pandemic and find out research gaps for further research about Sentiment Analysis and Topic Modeling using Latent Dirichlet Allocation (LDA). The articles used are limited to the article publication period, February 2020 to July 2021. The results of the review show that case handling (lockdown, international airports closure), conspiracy issues and fake news, number of daily case reports, the importance of covid prevention, Covid-19 vaccination policy, economic downturn, transportation systems, learning systems, and new policies for each country were the most discussed topics from March 2020 to January 2021. © 2023 Author(s).
ABSTRACT
Hotel guests' experience and satisfaction are important aspects of the hospitality industry. It is influenced by several hotel attributes. With the emergence of Covid-19 pandemic, changes in important attributes for customers need to be studied. This study utilized textual reviews and ratings from Tripadvisor for hotels in Indonesia in 2019 and 2021. Topic modeling and opporunity algorithm were applied to identify important attributes, calculate each attribute's level of importance and satisfaction, and conduct opportunity. This study found there are changes in the important attributes before and during the pandemic. Finally, the opportunity algorithm was computed to find attributes that need to be improved. This study found that the latest service opportunities in Indonesia arising from the Covid-19 pandemic are 'health protocol' and hotel facilities such as fitness/gym centers and internet connections to improve room comfort. © 2022 IEEE.