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Contact Name
Aji Prasetya Wibawa
Contact Email
aji.prasetya.ft@um.ac.id
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Journal Mail Official
businta.2017@gmail.com
Editorial Address
Sudah terakreditasi SINTA 2. Editorial Office of Bulletin of Social Informatics Theory and Application Association for Scientific Computing and Electrical, Engineering (ASCEE)-Indonesia Section Jln. Supriyadi, Kel. Surodakan, Kec. Trenggalek, Kota Trenggalek, Propinsi Jawa Timur, 66316 Indonesia Email: businta.2017@gmail.com
Location
Kab. trenggalek,
Jawa timur
INDONESIA
Bulletin of Social Informatics Theory and Application
ISSN : 26140047     EISSN : 26140047     DOI : https://doi.org/10.31763/businta.v6i2.601
Core Subject : Science, Social,
Bulletin of Social Informatics Theory and Application (ISSN 2614-0047) is an interdisciplinary scientific journal for researchers from Computer Science, Informatics, Social Sciences, and Management Sciences to share ideas and opinions, and present original research work on studying the interplay between socially-centric platforms and social phenomena. Bulletin of Social Informatics Theory and Application is the first Asia-Pacific journal in social informatics. The journal aims to create a better understanding of novel and unique socially-centric platforms not just as a technology, but also as a set of social phenomena and to provide a media to help scholars from the two disciplines define common research objectives and explore methodologies. Bulletin of Social Informatics Theory and Application offers an opportunity for the dissemination of knowledge between the two communities by publishing of original research papers and experience-based case studies in computer science, sociology, psychology, political science, public health, media & communication studies, economics, linguistics, artificial intelligence, social network analysis, and other disciplines that can shed light on the open questions in the growing field of computational social science. To that end, we are inviting interdisciplinary papers, on applying information technology in the study of social phenomena, on applying social concepts in the design of information systems, on applying methods from the social sciences in the study of social computing and information systems, on applying computational algorithms to facilitate the study of social systems and human social dynamics, and on designing information and communication technologies that consider social context.
Articles 132 Documents
Comparison of K-Nearest Neighbor and Naïve Bayes algorithms for hoax classification in Indonesian health news Pratomo, Awang Hendrianto; Rachmad, Faiz; Kodong, Frans Richard
Bulletin of Social Informatics Theory and Application Vol. 8 No. 2 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v8i2.796

Abstract

The categorization of health-related hoaxes is paramount in determining if they report facts. This paper analyzes the accuracy of the K-Nearest Neighbor (KNN) and the Naïve Bayes Classifier as two algorithms for health news hoaxes classification. Text mining was employed by feature extraction employing the TF-IDF method from the news headlines to classify the clusters. A prototype model was used to develop the system. Models assessment included confusion matrices and k-fold cross-validation. K=3 KNN model attained an average accuracy of 82.91%, precision of 85.3% and recall of 79.38% with no predictors included. The best performance was recorded for using the Naive Bayes model at fixation of K=3 KNN model at an average accuracy of 86.42%, precision level of 88.10% and recall high of 84.05%. These findings suggest that the KNN surfaces in the last model level rather than in the absence of the Naive Bayes model concerning classifying the hoax position of health news visible through the confusion evaluative matrix. Although related studies have been conducted in the past, this study is dissimilar in terms of its preprocessing methods, size of the data, and outcomes. The dataset consists of 1219 hoaxes labelled and 1227 facts labelled news headlines
Immersive virtual reality experience: Showcasing wadai Banjar traditional cake with hand gesture controls Tolle, Herman; Zakiah, Siti; Huda, Fais Al
Bulletin of Social Informatics Theory and Application Vol. 8 No. 2 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v8i2.781

Abstract

Virtual reality (VR) has revolutionized the way we engage with digital content, offering immersive environments that combine education and entertainment. This study explores the innovative application of VR to introduce Wadai Banjar, traditional cakes from the Banjar tribe in Indonesia, through a virtual environment enhanced by hand gesture interaction. Using hand-tracking technology on the Meta Quest 2 headset, users can interactively explore the making and cultural history of Wadai Banjar in a highly engaging and immersive manner. The study employs the Game Development Life Cycle (GDLC) methodology. It evaluates the experience through Playtesting, Gameflow, and assessments of telepresence, controller naturalness, and cybersickness. The findings reveal high levels of immersion, with a telepresence score of 64.46/70, controller naturalness of 62.3/70, and low cybersickness at 16/70. These results highlight VR's potential as a cultural education platform to preserve intangible heritage, particularly in engaging younger generations with the rich traditions of Indonesian cuisine. This research paves the way for future efforts to preserve cultural heritage through interactive technologies.