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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
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Bulletin of Social Informatics Theory and Application
Published by Association for Scientific Computing, Electronics, and Engineering
ISSN : 26140047     EISSN : 26140047     DOI : https://doi.org/10.31763/businta.v6i2.601
Core Subject : Science, Social,
Computer Science & IT Social Sciences
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.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 132 Documents
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Database optimization for improved system performance and response time of hospital management information system Rahayudi, Bayu; Priandani, Nurizal Dwi; Hanggara , Buce Trias; Mahmudy, Wayan Firdaus
Bulletin of Social Informatics Theory and Application Vol. 5 No. 2 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v5i2.491

Abstract

A Regional Hospital in East Java has implemented a Hospital Management Information System, namely SIMRS, in their data management system but has experienced problems in the form of slow system response when accessed by many users, was experienced in the last years when the system had been running for four years since 2016. The system’s slow response causes hospital services to be disrupted and also the quality of service to decline. So, an analysis to the existing database system is carried out, which includes an analysis of the system‘s database performance. Since many SIMRS use database servers on their data processing, then their applications will be based on executing queries and stored procedures (most of the queries are stored in stored procedures). So that, analysis of those queries will be carried out. The optimization process will include analyzing and mapping the database’s queries, profiling, and analyzing the Actual Execution Plan. By doing so, it is known which parts of the query are causing a decrease in performance and time system response. Based on the analysis results, recommendations are given for improving and rewriting several stored procedures and query statements, and the system response time is getting better.
Development of a criticality scale related to hoaxes in social media Dharmastuti, Anjarie; Wiyono , Bambang Budi; Hitipeuw, Imanuel; Rahmawati, Hetti; Wahyuni, Fitri; Apriliyanti , Fressi
Bulletin of Social Informatics Theory and Application Vol. 5 No. 2 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v5i2.492

Abstract

The massive circulation of hoaxes on social media is currently a fairly complex problem in society. One simple way that is considered effective to reduce the rate of hoaxes is to not disseminate information without prior verification. Verification efforts with the aim of minimizing the impact of this hoax can be referred to as criticality. The term criticality is basically still quite new when compared to the term critical thinking. Criticality refers to the concept of critical thinking accompanied by a commitment to act based on socio-cultural values. The purpose of this study was to develop a criticality scale related to hoaxes on social media. The method used is quantitative involving 400 students from state universities in Malang City. The results of this study indicate that the criticality scale related to hoaxes developed has met the criteria of good validity and reliability.
The Readiness Analysis of Smart School Implementation Using Technology Readiness Index to Support Smart City Implementation M. Khairul Anam; Indra Prayogo; Susandri; Yoyon Efendi; Erlin; nurjayadi
Bulletin of Social Informatics Theory and Application Vol. 6 No. 2 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v6i2.507

Abstract

Smart Schools have been widely applied in several schools within the scope of education and services as they are being encouraged to support Smart City. Smart Schools is a school concept utilizing information technology used in the teaching and learning process in the class and school administration. One of the schools in Pekanbaru City that will implement intelligent schools in Junior High School 17 Pekanbaru. Building smart schools themselves is adequate infrastructure such as servers, labor, and integrated systems and the readiness of schools and students to implement Smart Schools in the future. Therefore, to determine the readiness level of prospective users of the Smart Schools concept, the technology readiness index (TRI) method with four personality variables; optimism, innovativeness, discomfort, and insecurity. The purpose of this research was to find out the readiness index of prospective users in the implementation of Smart Schools and see what factors need to be improved from the readiness of prospective users. This research was expected to help Junior High School 17 prepare schools to become Smart Schools to support smart city implementation in Pekanbaru
Concerns for Digital Privacy in Business and Management: An overview and Future Discourses Recommendation Linando, Jaya Addin; Herwanto, Guntur Budi
Bulletin of Social Informatics Theory and Application Vol. 6 No. 2 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v6i2.508

Abstract

This paper aims to highlight the developing awareness of concern for digital privacy from business and management viewpoint. The authors compile data privacy literature in management field and visualize the literature into 4 main clusters of concerns. The 4 main cluster of concerns in data privacy discourse on management field are: internet; roles-trust-security; locations; and consumer privacy. This paper contributes on the development of research and discourse in data privacy and management domain. Besides delivering the overviews of the digital privacy concerns in business and management fields, the paper also places suggestions for future researchers.
Comparison Analysis of Digital Forensic Tools on Instagram Messenger using The National Institute of Standards and Technology (NIST) Method Harno Supardin; Satra, Ramdan; Asis, Muh. Arfah; Teng, Ming Foey
Bulletin of Social Informatics Theory and Application Vol. 6 No. 1 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v6i1.534

Abstract

Technological developments from time to time are very rapid, one of which is the development of smartphones which are always evolving in terms of operating systems, features, specifications, and applications. Today's increasingly sophisticated technology has become an important part of people's lives, some activities of people's lives can be carried out by utilizing technology, including committing crimes in cyberspace. One of the most widely used social media applications is Instagram. Instagram messenger causes cybercrime, pornography, fraud and cyberbullying. This study aims to compare the performance of digital forensic tools in obtaining digital evidence on Instagram messenger using the NIST Method. The results of this study indicate that MOBILedit Forensic and Magnet Axiom have the following accuracy results in restoring deleted data on Instagram messenger, MOBILedit Forensic 69.23% and Magnet Axiom 76.92%.
Forecasting IoT Pollution Data Using Forward Newton for Sustainable Green Environment Asghaiyer, Mohamed; Omar, Abdaraouf Abdalla
Bulletin of Social Informatics Theory and Application Vol. 6 No. 1 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v6i1.545

Abstract

IoT (Internet of Things) technology is growing rapidly because of its ease of use and low cost. One of the widely used IoT technologies is air pollution loggers in big cities. This technology is often found installed in places that are easily seen to display pollution information. The stored data is not processed so that the data seems useless. The data contains valuable information as long as it is extracted with the right method. The pollution data is consistent with time, so the use of the advanced newton method is suitable because the prediction will involve future trends. The results of this study indicate that from 12,432 the amount of data gives the result that in the next 1 year the amount of CO2 levels will increase by 3%, this needs to be taken into account by planting trees around the location so that the environment becomes friendly to human health.
Dragonfly Algorithm for Crowd NPC Movement Simulation in Metaverse Santoso, Ong, Hansel; Junaedi, Hartarto; Santoso, Joan
Bulletin of Social Informatics Theory and Application Vol. 6 No. 1 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v6i1.551

Abstract

During The Pandemic Period The Development Of Virtual Reality (Vr) In The Field Of Social Media (Metaverse) Is Very Fast To Give New Experiences. To Provide A New Experience, The Development Of A Supporting Virtual World As A Gathering Place Is Needed, To Support The Presence Of Others That Become A Factor Of Social Virtual Presence (Svr) Npc Is Required. Npc Crowds Will Be Tested In Job Fair Case Study By Compared Dragonfly And Particle Swarm Optimization Algorithms. Algorithm Testing Will Be Adjustable With The Same Parameters And Profiles For Individuals And Objectives. After Experiment And Evaluation, Dragonfly Algorith Was More Optimal And Provided Better SVR.
Social Network Analysis of The Development of The Halal Industry In Indonesia Apriantoro, Muhamad Subhi; Adelia Eka Nuraini; Hudaifah
Bulletin of Social Informatics Theory and Application Vol. 6 No. 2 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v6i2.553

Abstract

This study aims to look at the public sentiment represented by Twitter users regarding the halal industry. Data was taken using Drone Emprit Academic, a big data method that captures and analyzes conversations on social media, especially on Twitter, developed by Media Kernels Indonesia, which is also installed on the Information System Agency of the Islamic University of Indonesia. The research method uses a social network analysis approach to analyze data on social media conversations. The data was obtained after observing for 30 days from trending Twitter topics. The data is processed by the Social Network Analysis (SNA) system, which can be interpreted as a description of the interactions and relationships that always occur between one individual and another in an organization or work environment and the company. We found that the halal industry in Indonesia is growing more rapidly with the existence of social networks. A large number of conversations among Twitter users in Indonesia shows this.
A Review of Sentiment Analysis Approaches for Quality Assurance in Teaching and Learning (RETRACTED) Oghu, Emughedi; Ogbuju, Emeka; Abiodun , Taiwo; Oladipo, Francisca
Bulletin of Social Informatics Theory and Application Vol. 6 No. 2 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v6i2.581

Abstract

The education industry considers quality to be a crucial factor in its development. Nevertheless, the quality of many institutions is far from perfect, as there is a high rate of systemic failure and low performance among students. Consequently, the application of digital computing plays an increasingly important role in assuring the overall quality of an educational institution. However, the literature lacks a reasonable number of systematic reviews that classify research that applied natural language processing and machine learning solutions for students’ sentiment analysis and quality assurance feedback. Thus, this paper presents a systematic literature review that structure available published papers between 2014 and 2023 in a high-impact journal-indexed database. The work extracted 59 relevant papers from the 3392 initially found using exclusion and inclusion criteria. The result identified five (5) prevalent techniques that are majorly researched for sentiment analysis in education and the prevalent supervised machine learning algorithms, lexicon-based approaches, and evaluation metrics in assessing feedback in the education domain.
Twitter sentiment analysis about economic recession in indonesia Eka Putra, Fauzan Prasetyo; Maulana, Fairuz Iqbal; Akbar , Nawawi Muhammad; Febriantoro, Wicaksono
Bulletin of Social Informatics Theory and Application Vol. 7 No. 1 (2023)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v7i1.592

Abstract

As one of the most popular social media platforms, Twitter enables users to express their opinions on diverse concepts, products, and services. Large quantities of data shared as tweets can be mined for user feedback and used to improve the quality of products and services. Using Twitter data and social media sentiment analysis, tracking how people feel about the recession in real time is possible. As a consequence, relevant organizations or governments can take preventative measures against the disinformation and unlawful conduct caused by the effects of the recession. This study aims to determine if there is a correlation between how people on Twitter feel about the recession. This study's data acquisition utilized "Recession"-tagged Twitter remarks from 2023. This study analyses filtered tweets for sentiment, emotion, word usage, and trends. According to the findings, 94% of tweets had benign sentiments, 4% had positive sentiments, and 2% had negative sentiments. Tweets with moderate subjective valence cluster in the middle of the polarity scale (between 1 and +1), while tweets with strong subjective valence are dispersed throughout the scale

Page 8 of 14 | Total Record : 132

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