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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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A roadmap for the successful use of social media in electoral campaigns Pratama, Awanda S. S.; Danan, Elloy Y. M. S.; Angeline, Grace; Abdillah, Irfan Z.; Prayoga, Jevin A.; Jabari, Nedal A. M.
Bulletin of Social Informatics Theory and Application Vol. 5 No. 1 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v5i1.430

Abstract

Over the last few years, social media has become important for many people and can affect many aspects of life. In terms of politics, social media can help candidates and political parties do their political campaign. The use of social media in politics and during political campaigns has become a vital part for every political party and candidate. This paper describes the current social media and its characteristics, how campaigns were conducted in the past and how modern campaign activities were conducted. Case studies from several countries regarding how political campaigns were carried out are also written in this paper. The authors explore the factors available in social media that can affect and change the political process and campaign. Strong and weak factors of using social media in electoral campaigns are also discussed in this paper. This paper further addresses the author's point of view about how candidates should use social media during elections.
Social media learning on Indonesian university students Istiyanto, S. Bekti; Priyantono, Mochammad Bagus; Rifai, Muhammad Abdul Faiz; Wahyuningsih, Kartika; Fansyiari, Dzanun; Ramdhani , Lalu Gilang Obidia
Bulletin of Social Informatics Theory and Application Vol. 5 No. 1 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v5i1.433

Abstract

This study aims to compare social media as appropriate learning media for University students at Universitas Negeri Malang in the era of the covid-19 pandemic. The method used in this study is EUCS (End-user computing satisfaction) with a sample of 100 people. This study indicates that the google-classroom media is more in demand as a learning medium in terms of satisfaction by UM students. All the variable values are superior to the other two social media, namely Facebook and Schoology.
Social media for energy saving campaigns Rahmawati, Yuni; Fatimah, Siti; Harianja, Candra Friyandi; Noor , Zaka M.; Aulia, Shafa T.
Bulletin of Social Informatics Theory and Application Vol. 5 No. 1 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v5i1.435

Abstract

The demand for electrical energy continues to increase in line with technological developments. Electrical energy generally comes from fossil fuels or coal. The higher the electricity demand, the more carbon emissions are produced, which can cause global warming. Currently, many campaigns invite people to save energy. The campaign is carried out using social media. Currently, 170 million active social media users in Indonesia spend 3 hours 14 minutes accessing social media. This phenomenon opens up great opportunities for business people, organizations, institutions, and the government to carry out a campaign or promotional activities, such as energy-saving campaigns by various organizations with social media such as Facebook, Instagram, Twitter, and Youtube. This research aims to observe government and non-government accounts that are campaign energy saving on Facebook, Instagram, Twitter, and Youtube. This research was conducted by collecting data from the followers or subscribers, time the account operates on each social media, post, and other necessary data. Based on social media research, the most effective way to campaign energy saving is Instagram.
Instagram Performance Analysis of Micro, Small, and Medium Enterprises: A Case Study in the Fashion Sector Maulana, Ahmad Saufi; Agung Andhika F.; Balqies Savina; F.ti Ayyu Sayyidul L.; Fachrul Kurniawan
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.v6i1.439

Abstract

People nowadays rely on social media, which has become a necessity in their everyday lives. With 13 % of internet users, Instagram is currently the largest social network. This is an opportunity for Micro, Small, and Medium Enterprise (MSME) owners who target Instagram users as their market. This paper analyses the performance of Instagram in selling MSME fashion products, especially thrift shops. Based on the data, followers, likes, and comments do not influence the item's sale. The research finds some factors that can increase the sale of goods on Instagram, such as ads, paid promotions, endorsements, events, and giveaways. Furthermore, The results deliver strategies to improve sales through the Instagram platform
Topic modeling using latent dirichlet allocation (LDA) on twitter data with Indonesia keyword Negara, Edi Surya; Triadi , Dendi
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.v5i2.455

Abstract

Digital transformation causes an increase in the volume of information in the form of text such as news. On social media, a lot of news is uploaded in such a fast time and one of them is Twitter. Twitter is a social media service that has served many users, making it one of the social media that has very large data. From this very large data, it can be used as a news source for online news web. However, with the many topics extracted from Twitter data, the incoming data has a variety of topics which causes difficulties in identifying the topics from the data set taken and will require a lot of time if it has to be done manually by humans. Meanwhile, the data is potentially needed to provide information as quickly as possible. This study aims to classify topics on data taken from Twitter automatically so that it can make a classification on the news taken, can be more effective and efficient and does not take as much time as done manually by humans. The research was conducted using the Latent Dirichlet Allocation (LDA) method. News documents that will be classified are Indonesian news documents and will be classified into topics to be determined. The results of the research using topic modeling using the LDA method concluded that the number of topics formed from 9094 tweet data was 10 topics.
Indonesian sharia fintech services and social media usage Abdillah, Leon; Mukti, Yogi; Puspita, Desi; Suhartini, Suhartini
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.v5i2.456

Abstract

Mobile and information technology have reconfigured the global towards a digital system including the digital economy and its payment technology through mobile applications and social media. COVID-19 pandemic has triggered all parties to accelerate and expand IT-based and digital services. The limited of studies related to Islamic Fintech in Indonesia is the main reason for writing this article. Continuing the previous research, it is known that Indonesia in general has followed the era with many Fintechs and startups growing. However, there are still very few Sharia-based services. After conducting online surveys with a number of agencies such as OJK, Fintech Islami Indonesia, it is known that 10 out of 121 Fintechs operate or serve sharia schemes. They provide financial services for:  SMEs and MSMEs (60.00%), General or Consumptive Financing (30.00%), and Property (30.00%), followed by Umrah and Hajj (20.00%), Education (10.00%), and Health (10.00%). Most of the Indonesian sharia fintech (60%) already have mobile-based applications, both Android and iOS. The most widely used social media are Instagram and Facebook, in addition to Twitter, LinkedIn, WhatsApp, and YouTube. In the future, it is hoped that more Indonesian Islamic Fintechs include those serving other sectors such as Agriculture, Forestry, Maritime Affairs and Fisheries, linked to crypto-currency, etc.
Structure learning of bayesian network using swarm intelligent algorithm: a review Kareem, Shahab Wahhab; Askar, Shavan; Ahmed, Kosrat Dlshad
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.v5i2.463

Abstract

Machines using Bayesian networks can be used to construct the framework of information in artificial intelligence that connects the variables in a probabilistic way. “Deleting, reversing, moving, and inserting” is an approach to finding the best answer to the proposition of problem in the algorithm. In the Enhanced Surface Water Searching Technique, mostly, the hunt for water is done by elephants during dry seasons, It is Pigeon Optimization, Simulated Annealing, Greedy search, and the BDeu metrics being reviewed in combination to evaluate all these strategies being used in order to solve this problem. They subjected different data sets to the uncertainty matrix in an investigation to find out which of these approaches performed best. According to evaluation data, the algorithm shows stronger results and delivers better points. Additionally, this article also represents the structure learning processes for Bayesian Network as well.
Development of fishery marketplace app for fishermen to support local products during the covid-19 pandemic Kurniawan, Dwi Ely; Dzikri , Afdhol; Herman, Nanna Suryana
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.v5i2.470

Abstract

Since the Covid-19 pandemic, the growth of E-commerce in Indonesia has increased sharply. The COVID-19 pandemic has caused a shift in human habits or activities from offline to online. However, the lack of facilities and infrastructure, especially the fish auction place, is an obstacle fishers face when they want to market and distribute their catch. This study aims to provide an alternative solution to the limitations of fish auction places. This research develops a prototype of a fishery marketplace application to make it easier for fishers to market their catch.  The research method in software development uses a prototyping model and usability testing using the SUS scale. Based on fishermen's gadgets owned, including network infrastructure availability in hinterland areas. This study used technology that utilizes SMS Gateway. SMS messages in the form of information on fish products. Based on the analysis and calculation of the SUS score, the result is 79.25, meaning that the fisherman's application is functionally perfect and can be accepted by users. The fisheries marketplace application displays a catalog of fish products that can access the public to view product information, prices, and transact. Buyers and sellers meet in the fisheries marketplace application to make offers via call communication or take advantage of the provided WhatsApp API.
Towards academic computer emergency response teams in African developing countries Mutembei, Leonard; Ishengoma, Fredrick
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.v5i2.473

Abstract

The increasing number of cyberattacks on African universities demonstrates the critical need for a more profound shift in perspective from a simple IT problem to the implementation of more resilient security measures and policies, and thus, Computer Emergency Response Teams (CERTs). Fortunately, even though there are numerous CERTs worldwide, there are relatively few studies in the literature that address academic-CERT in the African context. This article summarizes the CERT landscape in African countries and proposes a framework for academic-CERT. The proposed framework aims to fortify African academic institutions' resilient security measures. The paper will serve as a foundation for developing academic CERTs in African countries, which will eventually result in the implementation of national CERTs and the protection of online users.
Housewife perception of gadget functions: Economy creative opportunity in woman empowerment, theory of economic sociology perspective Gani, Irwan; Suharnanik, Suharnanik
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.v5i2.490

Abstract

Women as housewives can provide various responses to the existence of gadgets or better known as gadgets. With her limitations as a woman who focuses on household functions, she is still able to respond to some advances in gadget functions. The longer the function of the gadget, the more sophisticated it causes changes in behavior that are different from before, sometimes even confusing in determining good attitudes and behavior according to them. The value of multiple and not absolute behavior due to changes in the function of gadgets causes housewives to reject the latest gadgets because they harm the behavior and values they believe in. This research was conducted on several housewives. Data was collected using a qualitative approach, through interviews and direct observation of housewives. The data were analyzed using a descriptive study of modern socio-economic theory to see how housewives respond to the development of gadgets. The results showed that housewives had excessive concerns about the progress of gadgets, so they tended to reject these advances. More relented to have the latest gadgets, and do not know how to use gadgets in order to take opportunities in empowering the creative economy. This study uses an economic sociology study, to be able to provide a more comprehensive analysis in looking at the phenomenon of housewives in urban areas.

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