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Application of Object Mask Detection Using the Convolution Neural Network (CNN)
The spread of Coronavirus Disease (Covid-19) is still a serious problem we are currently facing. The spread occurred very
quickly through the process of face-to-face interaction. The process of face-to-face interaction that occurs both in public…
quickly through the process of face-to-face interaction. The process of face-to-face interaction that occurs both in public…
Logistic Regression Using Hyperparameter Optimization on COVID-19 Patients’ Vital Status
This study aims to classify COVID-19 patients based on the results of their hematology tests. Hematology test results have been
shown to be useful in identifying the severity and risk of COVID-19 patients. Specifically, this study focuses on…
shown to be useful in identifying the severity and risk of COVID-19 patients. Specifically, this study focuses on…
Enhancing Natural Language Inference Performance with Knowledge Graph for COVID-19 Automated Fact-Checking in Indonesian Language
Automated fact-checking is a key strategy to overcome the spread of COVID-19 misinformation on the internet. These systems typically leverage deep learning approaches through natural language inference (NLI) to verify the truthfulness of information…
Epidemic Data Analysis of Three Variants of COVID-19 Spread in Indonesia
Three variants of COVID-19 had been found in Indonesia. A control strategy may rely on the transmission rate of the variant. This study aims to investigate how the variants spread in Indonesia by computing a basic and effective reproduction number on…
COVIWD: COVID-19 Wikidata Dashboard
COVID-19 (short for coronavirus disease 2019) is an emerging infectious disease that has had a tremendous impact on our daily lives. Globally, there have been over 95 million cases of COVID-19 and 2 million deaths across 191 countries and regions.…
Memes, Memes, Everywhere, nor Any Meme to Trust: Examining the Credibility and Persuasiveness of COVID-19-Related Memes
This study used an experimental design to examine the credibility and persuasiveness of COVID-19-
related Internet memes. The study used a random sample of U.S. social media users (N ¼ 1,200) with source credibility as the theoretical framework.…
related Internet memes. The study used a random sample of U.S. social media users (N ¼ 1,200) with source credibility as the theoretical framework.…
Direct and moderating effects of COVID-19 on cultural tourist satisfaction
This paper proposes a model to determine the direct and moderating effects of COVID-19 on the overall satisfaction of cultural tourists with the heritage destination visited. The hypotheses put forward in the model have been tested employing…
Humanist algorithms for COVID-19 vaccines' distribution and its impact on business economics in the post-pandemic future
As the world is fighting against the continuous spread of the COVID-Sars-2 virus and the consequences the pandemic has brought about on economic, political and societal levels, the emergence of the vaccination programs seems to be the biggest hope…
Covid-19 vaccines: A model of acceptance behavior in the healthcare sector
The emergence of Covid-19 has affected all aspects of human life across the globe. Lockdowns everywhere are having dramatic social and economic consequences. No therapy has yet been approved, and vaccines are a priority potential tool to control the…
The impact of the COVID-19 crisis on consumer purchasing motivation and behavior
The COVID-19 outbreak changed dramatically and altered the attitudes, intentions and purchasing patterns of consumers. This global crisis was particularly notable because of globalization—the interconnection of markets and countries—and its…