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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 83 Documents
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Characteristics and segmentation of social problems with kohonen self-organizing maps Reza Aditya Pratama; Tiara Shafira; Faisal Ardiansyah; RB Fajriya Hakim
Bulletin of Social Informatics Theory and Application Vol. 1 No. 1 (2017)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v1i1.19

Abstract

Technology acceptance model for computer assisted personal interviewing Margaretha Ari Anggorowati
Bulletin of Social Informatics Theory and Application Vol. 1 No. 1 (2017)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v1i1.20

Abstract

Data collection plays an important role in census and survey for statistical work. Badan Pusat Statistik (BPS) Indonesia spent a lot of effort on human resources, budget, and time and complexity management in order to have valid data. Computer Assisted Personal Interviewing (CAPI) is a system which support data collection process more simple and efficient. It important to measure the user acceptance of CAPI in statistical work.
Spell checker implementation to analyze the narrative essay of sixth-grade elementary school students in Indonesia Muhana Gipayana
Bulletin of Social Informatics Theory and Application Vol. 1 No. 1 (2017)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v1i1.21

Abstract

Learning Bahasa Indonesia correctly in terms of writing and reading is needed by students to understand well the language learned in school. Some problems arise when elementary school students still need guidance in writing Indonesian sentences in narratives, that are still lacking the standard or misspelling. Teachers usually read essays from students but it takes a lot for the teacher to learn. This research emerged with the aim of assisting teachers and students in correcting the spelling of the essay that was written so that it would be a perfect and perfect sentence. Applications built using internet technology so students can access the system anywhere. The results show that 87% of students experience spelling errors in writing narrative essay because they are inaccurate to what they write, so the application will provide automatic correction and already implemented in several schools at Malang.
Seismic analysis using maximum likelihood of gutenberg-richter Arum Handini Primandari; Khusnul Khotimah
Bulletin of Social Informatics Theory and Application Vol. 1 No. 1 (2017)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v1i1.23

Abstract

An earthquake is one of catastrophe which often claim numerous lives and cause great damage to infrastructure. Multiple studies from various field have been conducted in order to make a precise prediction of earthquake occurrence, such as recognizing the natural phenomena symptoms leading to the shaking and ground rupture. However, up till now there is no definite method that can predict the time and place in which earthquake will occur. By assuming that the number of earthquake follow Gutenberg-Richter law, we work b-value derived using Maximum Likelihood Method to calculate the probability of earthquake happen in the next few years. The southern sea of D.I. Yogyakarta was divided into four areas to simplify the analysis. As the result, in the next five years the first and second area have high enough probability (>0.3) to undergo more than 6.0-magnitude earthquake.
A framework design to develop integrated data system for smart e-government based on big data technology Fahmi Dzikrullah; Muhammad Angga Rinjani
Bulletin of Social Informatics Theory and Application Vol. 1 No. 2 (2017)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v1i2.26

Abstract

The rapid development of information communication and technology (ICT) in the field of governance or public service has shifted from the age of information to the age of data. The public sector is becoming increasingly aware of the potential value of data, where governments generate and collect large quantities of data (volume), rapid growth data (velocity) and various type of data (variety) through their services. Meanwhile, the government agencies keep constructing the various database, information system or application with different data sources and platform. Therefore, the interoperability has become the important requirements in electronic Government (e-Government) infrastructure that progresses towards higher levels of integration among government levels and branches. In this paper, we proposed a framework design for the development of Integrated Data System for e-Government that we call Smart e-Government, which integrates traditional information systems that is combined with an intelligent system based on big data technology. With this system, the government agencies could provide services environment with greater ease and deliver public value through open government data initiatives in a Smart e-Government context. Moreover, this would also be very useful for the government executives to monitor public services which are increasingly prestige, institutional transparency, as well as accountability. Such integration is to improve the quality of public services through information technology.
Application of rule association with algorithm apriori of disaster residental fires Muhammad Muhajir; Gusmayyeni Gusmayyeni; Redita Anggita Sari; Tusriana Rahmatika
Bulletin of Social Informatics Theory and Application Vol. 1 No. 2 (2017)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v1i2.27

Abstract

Data mining is a technique of decision making by means of extracting information based on historical data of existing data in a large database. One of technique in data mining, is association rule algorithm where the method is searching for a set of items that frequently appear together. This study will use data association rule mining method for data processing Fire Disaster settlements in Indonesia because we want to know what information is often occur together in the event of fire disaster settlement. From the analysis associative relationship, event's pattern that occur from residential fires in Indonesia which the data is from the beginning of January 2015 to June 2015, support the highest value that the event of catastrophic fires in settlements in the afternoon resulted in broken homes with a value of 0.8148148 support and confident value of 1.0292398.
Job applicants clustering using self-organizing map Arum Handini Primandari; Nur Aini Ikasakti
Bulletin of Social Informatics Theory and Application Vol. 1 No. 2 (2017)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v1i2.28

Abstract

Yogyakarta Government through Directorate of Manpower and Transmigration (Disnakertrans) have been canvassing people looking for job. An employment program was provided by Disnakertrans to allow job applicants meet companies. This research was carried out to identify educational background of applicants, in order to obtain the suitable worker. One of the ways to identify educational background is by district clustering in Yogyakarta. Clustering method is employed to reveal the characteristic of educational quality in every district in Yogyakarta. Clustering is a grouping method which is done by minimalize the characteristic among class members and minimalize the characteristic among clusters. This research used Self Organizing Maps to grouping districts in Yogyakarta according to educational background of its job seekers. The clustering results 3 clusters: 6 districts belong to cluster 1, 4 districts belong to cluster 2, and 4 districts belong to cluster 3. Then, Yogyakarta map is used to visualize the result of district clustering.
Application level interoperability on IaaS cloud migration Soffa Zahara; Surya Sumpeno; Istas Pratomo
Bulletin of Social Informatics Theory and Application Vol. 1 No. 2 (2017)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v1i2.30

Abstract

The increasing awareness of people about several benefits using cloud computing technology caused a lot of organizations, companies, and agencies are switching from utilizing physical infrastructure to cloud infrastructure, especially IaaS. Considering the strong market enthusiastic about cloud computing, cloud companies were racing competitions offer the best products with various advantages. In the process of utilizing cloud computing technology there are circumstances in which the company wants to move its infrastructure to other cloud providers caused by various aspects in order to meet better expectations of to the new provider. However, there are many obstacles in practice in the process of transfer system between two different environment or can be called migration. One of them is a vendor lock-in that caused system cannot be function properly especially application functionality after migration. This paper introduces improvement method of testing interoperability between systems that were migrated between different cloud providers which use different hypervisor technology. We also conduct interoperability application testing between several cloud providers.
Recommendation system for web article based on association rules and topic modelling Guntur Budi Herwanto; Annisa Maulida Ningtyas
Bulletin of Social Informatics Theory and Application Vol. 1 No. 1 (2017)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v1i1.36

Abstract

The World Wide Web is now the primary source for information discovery. A user visits websites that provide information and browse on the particular information in accordance with their topic interest. Through the navigational process, visitors often had to jump over the menu to find the right content. Recommendation system can help the visitors to find the right content immediately. In this study, we propose a two-level recommendation system, based on association rule and topic similarity. We generate association rule by applying Apriori algorithm. The dataset for association rule mining is a session of topics that made by combining the result of sessionization and topic modeling. On the other hand, the topic similarity made by comparing the topic proportion of web article. This topic proportion inferred from the Latent Dirichlet Allocation (LDA). The results show that in our dataset there are not many interesting topic relations in one session. This result can be resolved, by utilizing the second level of recommendation by looking into the article that has the similar topic.
Social effects of digital pornography Muhammad Firman Aji Saputra; Sherly Allsa Siregar; Zahra Nabila Izdihar
Bulletin of Social Informatics Theory and Application Vol. 1 No. 2 (2017)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v1i2.42

Abstract

Emerging technology will provide benefits for users. Especially with the presence of the internet will make technology more perfect. On the one hand, technology and the internet provide benefits, on the other hand can also give a negative impact for users, one of which is the rise of pornographic content on the internet or often called cyberporn. With the internet, pornography can be obtained easily. That's because the producers of pornographic content think that the internet is the most optimal marketing medium. The presence of pornography has occurred pros and cons in various countries. In Indonesia, it is strictly prohibited because it can damage the morale of the next generation of the nation. In addition, pornography is something very addictive to humans that will eventually happen in various things. In fact, porn addiction is more severe addictive substance addiction than psychotropic. Some efforts that can be done to minimize the pornography deal either by the government of Indonesia, family, or other related parties are making laws that regulate pornography, blocking pornographic sites, providing early childhood sex education, and the role of parents in child supervision.

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