Introduction Physical distancing has encouraged the public to utilize the Internet for virtually all daily activities during the COVID-19 pandemic. This study aimed to assess the impact of COVID-19 on Internet addiction (IA) prevalence and analyzed the correlated factors during quarantine and pandemic. Methods An online survey was generated, comprising of a sociodemographic section, Internet Addiction Diagnostic Questionnaire (KDAI), Symptoms Checklist-90, and Pittsburgh Sleep Quality Index. The hyperlink was disseminated through social media, companies, and universities. Overall, 4,734 adults, (mean age 31.84 ± 7.73 years old and 55.2% males) representing all 34 provinces of Indonesia, gave valid responses. Results Point prevalence of IA during the COVID-19 pandemic was 14.4% in Indonesian adults. Online duration increased by 52% compared to before the pandemic. Physical distancing was not established as a risk of IA. Increased daily online duration, specific motivations, types of application, and having confirmed/suspected COVID-19 cases within the household were predictive of IA. All subscales of SCL-90 and PSQI were higher in the group with positive/suspect cases of COVID-19 within households and were correlated to higher scores of IA. Discussion Physical distancing alone was not associated with an increased risk of IA. The prevalence of IA during COVID-19 was higher than the previously proposed rate among Indonesian adults, which might be related to digital activities associated with COVID-19 and the popularity of virtual socializing. Furthermore, psychopathologies and sleep disruptions were related to IA occurrences and especially prevalent in groups with proximity to COVID-19. Fear of COVID-19 contraction and rampant misinformation of COVID-19 probably contributed to these factors, which potentially harbor long-term consequences. Conclusion The current study demonstrated a high point prevalence of IA and identified several preventable factors predictive of IA during home-quarantine and COVID-19, especially in adults with confirmed/suspected COVID-19 cases within the household. However, physical distancing did not increase the odds of IA. Public health agencies should maintain physical distancing advisory while providing adaptive psychiatric education and service.

The increasing availability of online information has triggered an intensive research in the area of automatic text summarization within the Natural Language Processing (NLP). Text summarization reduces the text by removing the less useful information which helps the reader to find the required information quickly. There are many kinds of algorithms that can be used to summarize the text. One of them is TF-IDF (TermFrequency-Inverse Document Frequency). This research aimed to produce an automatic text summarizer implemented with TF-IDF algorithm and to compare it with other various online source of automatic text summarizer. To evaluate the summary produced from each summarizer, The F-Measure as the standard comparison value had been used. The result of this research produces 67% of accuracy with three data samples which are higher compared to the other online summarizers.

Introduction: Coronavirus disease 2019 (COVID-19) is caused by a novel coronavirus which has not been identified previously in humans. The disease leads to respiratory problems, systemic disorders, and death. To stop the virus transmission, physical distancing was strongly implemented, including working and school from home (WFH & SFH). The limitation altered daily routines and needs advanced to adapt. Many have felt uncomfortable and this could have triggered anxiety symptoms. This study aimed to evaluate the proportion of significant anxiety symptoms and its association with COVID-19-related situations in an Indonesian context during the initial months of the pandemic.Methods: An online community survey was distributed through social media and communication platforms, mainly WhatsApp, targeting people >18 years old in Indonesia. Anxiety symptoms were assessed using Generalized Anxiety Disorder-7 (Indonesian Version). Demographical data and information on social situation related to the COVID-19 pandemic were collected. The proportion of clinically significant anxiety symptoms was calculated and the association with demographic and social factors was assessed using chi square test (χ2) and logistic regression for multivariate analysis.Results: Out of 1215 subjects that completed the survey, 20.2% (n = 245) exhibited significant anxiety symptoms. Several factors, such as age (AOR = 0.933 CI 95% = 0.907–0.96), sex (AOR = 1.612 CI 95% = 1.097–2.369), medical workers (AOR = 0.209 CI 95% = 0.061–0.721), suspected case of COVID-19 (AOR = 1.786 CI 95% = 1.001–3.186), satisfaction level of family support (AOR = 3.052 CI 95% = 1.883–4.946), and satisfaction level of co-workers (AOR = 2.523 CI 95% = 1.395–4.562), were associated with anxiety.Conclusion: One out of five Indonesian people could have suffered from anxiety during the COVID-19 pandemic. The riskiest group being young females, people who had suspected cases of COVID-19, and those with less satisfying social support. Nevertheless, health workers were found to have a lesser risk of developing anxiety. Accessible information and healthcare, social connection, supportive environment, and mental health surveillance are important to prevent bigger psychiatric problems post-pandemic.