Balinese story texts dataset for narrative text analyses.

Automatic narrative text analysis is gaining traction as artificial intelligence-based computational linguistic tools such as named entity recognition systems and natural language processing (NLP) toolkits become more prevalent. Character identification is the first stage in narrative text analysis; however, it is difficult due to the diversity of appearances and distinctive characteristics among regions. Further challenging analyses, such as role classification, emotion and personality profiling, and character network development, require successful character identification initially, which is crucial.

Sentiment analysis of Indonesian tweets on COVID-19 and COVID-19 vaccinations.

Background: Sentiments and opinions regarding COVID-19 and the COVID-19 vaccination on Indonesian-language Twitter are scarcely reported in one comprehensive study, and thus were aimed at our study. We also analyzed fake news and facts, and Twitter engagement to understand people's perceptions and beliefs that determine public health literacy.

Methods: We collected 3,489,367 tweets data from January 2020 to August 2021.

GA-Sense: Sensor placement strategy for detecting leaks in water distribution networks based on time series flow and genetic algorithm.

The detection of leaks in time series flow systems is crucial for efficient and integrated industrial processes. This is especially true when daily demand patterns differ, as this results in fluctuations in the snapshots of water consumption that are commonly used as the basis for placing sensors to detect leaks. This paper introduces a novel method in which the genetic algorithm (GA) is applied to find optimal sensor locations and to enhance the accuracy of leak detection in time series flow data.

A stance dataset with aspect-based sentiment information from Indonesian COVID-19 vaccination-related tweets.

As a platform of social media with high activity, Twitter has seen the discussion of many hot topics related to the COVID-19 pandemic. One such is the COVID-19 vaccination program, which has skeptics in several religious, ethnic, and socioeconomic groups, and Indonesia has one of the largest populations of various ethnicities and religions of countries worldwide. Diverse opinions based on skepticism about the effectiveness of vaccines can increase the number of people who refuse or delay vaccine acceptance.

Health literacy on COVID-19 and COVID-19 vaccinations in Indonesia.

Health literacy on the coronavirus disease 2019 (COVID-19) affects people's capability to ascertain their health and health care quality during the pandemic. The objective of this study was to determine the levels of health literacy about COVID-19 vaccines and vaccinations (Vaccines and Vaccinations literacy-VL) in the Indonesian adult general population, assessing the perceptions of the respondents about current adult immunization and beliefs about vaccinations in general, and analyzing correlations of these variables with the VL levels. A cross-sectional study using a rapid survey was administered via the Internet.

Keynote Speaker II: Biomedical Engineering Research in the Social Network Analysis Era: Stance Classification for Analysis of Hoax Medical News in Social Media.

Biomedical engineering research trend can be healthcare models with unobtrusive smart systems for monitoring vital signs and physical activity. Detecting infant facial cry because of inability to communicate pain, recognizing facial emotion to understand dysfunction mechanisms through micro expression or transform captured human expression with motion device into three-dimensional objects are some of the applied systems. Nowadays, collaborated with biomedical research, mining and analyzing social network can improve public and private health care sectors as well such as research health news shared on social media about pharmaceutical drugs, pandemics, or viral outbreaks.