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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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Digital village system transformation to increase the potential of Sidemen Village Karangasem Bali Ni Luh Ayu Kartika Yuniastari Sarja; Ida Ayu Gde Suwiprabayanti Putra; Nyoman Ayu Nila Dewi
Bulletin of Social Informatics Theory and Application Vol. 8 No. 1 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v8i1.674

Abstract

Sidemen Village is one of the villages in Karangasem Regency. The most famous products from Sidemen Village are songket cloth and lontar comics. Seeing the potential that exists in Sidemen Village, it is necessary to develop a Digital Village in Sidemen Village, Karangasem. Digital villages will help improve communication between village officials and fellow village officials and with village residents. The research method uses the SDLC method which includes planning, analysis, design, implementation, and testing stages. At the planning stage, data is collected which will later be used in the analysis process. At the analysis stage, an analysis of functional requirements is carried out as a basis for the Digital Village website design process. At the design stage, the design of the Digital Village website is carried out in the form of database design to show what data is processed on the website. At the implementation stage, implementation is carried out in the form of website page implementation. At testing stage, data is collected through questionnaires and testing using the TAM method using the SPSS application. The system produces 10 features on the website in the form of: Admin Login, Village Resident Login, Village Information, Village Information Dashboard, Land Dashboard, Correspondence Dashboard, Assistance Dashboard, Financial Dashboard, Village Resident Dashboard. Based on the results of hypothesis testing from the proposed model, it is known that there is only 1 hypothesis that is accepted, namely the influence of PEOU on ATU, which means that the belief that the application can be easily understood and used has an influence on acceptance or rejection of the use of the application as a result when someone uses an application in a particular job or activity.
Monitoring oxygen levels of windu shrimp pond water using dissolved oxygen sensor based on wemos D1 R1 Djainuddin, Djainuddin; Fattah, Farniwati; Asis, Muhammad Arfah; Satra, Ramdan; Fattah, Muhammad Hattah; Adam Ali Abdalla, Modawy
Bulletin of Social Informatics Theory and Application Vol. 8 No. 1 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v8i1.676

Abstract

This research implements an oxygen monitoring system in tiger shrimp ponds using a Dissolved Oxygen (DO) sensor based on Wemos D1 R1 with an Internet of Things (IoT) approach. Tiger shrimp ponds, as aquaculture centers, require regular monitoring of water quality. The system uses DO sensors in the water, processed by Wemos D1 R1, and the data is sent to Firebase Cloud for storage. A web application serves as the user interface to monitor and analyze the data. The results of the research in Pandawa 1000 tiger shrimp pond, Lanrisang Village, Pinrang, showed the positive impact of IoT technology on pond management. The selection of the Wemos D1 R1 and the use of the Dissolved Oxygen Sensor enabled accurate and efficient measurement of oxygen levels, overcoming the shortcomings of previous research, especially the integration of the sensor directly into Firebase for real-time data storage and delivery. This development improves connectivity and real-time monitoring capabilities, crucial aspects in ensuring optimal pond water quality.
Optimization of k-means clustering using particle swarm optimization algorithm for human development index Laili, Ufil Hidayatul; Faisal, Muhammad; Kurniawan, Fachrul
Bulletin of Social Informatics Theory and Application Vol. 8 No. 1 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v8i1.678

Abstract

K-Means algorithm can be used to cluster the Human Development Index in East Java in particular for the people, the hope is that with this development all the problems that exist in the community including poverty, unemployment, school dropouts, health and social inequality can be resolved. However, this algorithm has a weakness that is sensitive to the determination of the initial centroid. Initial centroids that are determined randomly will reduce the level of accuracy, often get stuck at the local optimum, and get random solutions. Optimization algorithms such as PSO can overcome this by determining the optimal initial centroid. The quality of clusters produced by K-Means algorithm with and without PSO algorithm is measured using the average Silhouette Coefficient (SC). In this study, better accuracy was obtained between pure kmeans and PSO based kmeans where the comparison value of pure kmeans was 0.27% while PSO based kmeans obtained a value of 0.34%. The Human Development Index data set was obtained from the official website of the Central Bureau of Statistics and used as secondary data in this study, especially the East Java region. In addition to program planning in the following year, the clustering carried out from 2019 to 2022 is also an evaluation of the East Java Provincial Government's program targets that have been implemented in that year, especially related to the human quality of life development program.
Enhancing the Shopping Experience in E-Commerce: A Path to Improvement – Buy the Best Sarama Shehmir, Sarama; Nazar, Mobeen; Zaveri, Ayesha Anees; Sami , Naveera; Mashood, Ramsha; Faisal , Nabiha; Waqas, Abdul; Naeem, Rimsha
Bulletin of Social Informatics Theory and Application Vol. 8 No. 1 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v8i1.680

Abstract

This research paper presents the development of "Buy by Best," a user-friendly platform designed to save users' time by providing a consolidated shopping experience. The project addressed the inconvenience of visiting multiple websites and logging in to various accounts to shop for different brands. Extensive research was conducted to explore existing shopping websites, user behaviors, and industry trends. The project team analyzed multiple sites, considering brand reputation, product variety, and user experience. Based on the findings, "Buy by Best" was developed to streamline the shopping process. The platform features a centralized login where users can access products from various brands, eliminating the need for multiple website visits and logins. Technologies like the MERN stack and Python libraries like Selenium and Beautiful Soup were used for web development and web scraping of brand products. The platform offers a user-friendly interface with options to browse products by brand, apply filters, and view product details. Users can place orders seamlessly and be redirected to the brand's official website. Future work includes developing a mobile application, enhancing the user interface, expanding the range of brands, and integrating other platforms. In conclusion, "Buy by Best" offers users a convenient and time-saving solution by consolidating products from various brands into a single platform. The project successfully achieves its objective through web scraping, user authentication, and intuitive interfaces.
Ransomware detection: patterns, algorithms, and defense strategies Amro, Manar Y; Dwieb, Mohamed; Hammad, Jehad A.H; Wibawa, Aji Prasetya
Bulletin of Social Informatics Theory and Application Vol. 8 No. 1 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v8i1.689

Abstract

In the contemporary digital landscape, rapid technological advancements present unprecedented challenges for developers in the hardware and software realms. The ubiquitous presence of the Internet, the Internet of Things (IoT), and widespread digital solutions bring numerous benefits and escalating risks. This study investigates the pervasive threat of ransomware attacks, a daily menace that imperils the operational and security dimensions of the digital sphere for enterprises and individuals. The research objective is to identify the most effective algorithm for detecting ransomware viruses, a persistent and evolving threat that significantly challenges institutions, companies, and governmental organizations. The dynamic nature of ransomware necessitates robust detection mechanisms to safeguard sensitive data. To achieve this goal, we conducted a comparative analysis of four prominent algorithms recognized for their efficacy in combating and detecting viruses. Emphasis was placed on the algorithm exhibiting the most promising results. A detailed examination of its impact on existing data involved comprehensive analysis and a comparative assessment against previous studies. Results, derived from extensive studies and experiments on a diverse dataset, illuminate the critical role of ransomware detection algorithms and underscore their effectiveness. The findings contribute valuable insights to the ongoing discourse on cybersecurity strategies, providing a foundation for enhanced ransomware defense measures.
Mastery of information technology and self-efficacy in enhancing technopreneurship readiness among vocational school student Ni Ketut Kertiasih; Djoko Kustono; Purnomo; Eddy Sutadji
Bulletin of Social Informatics Theory and Application Vol. 8 No. 1 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v8i1.719

Abstract

This study aims to analyze the contribution of information technology mastery and self-efficacy in fostering technopreneurship readiness among vocational students. Technopreneurship is a business field that utilizes information technology and presents a viable solution to unemployment. Meanwhile, vocational school graduates have a significant opportunity to pursue technopreneurship. To support these graduates’ readiness in the field of technopreneurship, it is necessary to equip them with information technology and self-efficacy skills. With these skills, vocational school graduates have the opportunity to become independent workers and create new jobs based in the field of information technology.The rapid development of information and communication technology high lights the importance of students’ mastery of this field. These skill sarenecessary for students to compete, beresponsible, and exhibit creativity and innovation. Additionally, self-efficacy refers to anindividual’s belief and confidence in their ability to influence their environment. It is a crucial factor in determining students’ readiness to work. By enhancing their self-efficacy, students can be motivated to establish new businesses based on information technology. There fore, this research employed a correlational quantitative method, focusing on vocational students in Buleleng Regency, with a sample size of 167. Regression analysis was used to analyze the data with two predictors. The finding sindicated that the mastery of information technology and self-efficacy significantly contributed to the technopreneurship readiness of vocational students. Keywords: mastery of information technology, self-efficacy, technopreneurship readiness
Knowledge graph completion for scholarly knowledge graph Taufiqurrahman, Taufiqurrahman; Wiharja, Kemas Rahmat Saleh; Wulandari, Gia Septiana
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.v8i2.657

Abstract

Scholarly knowledge graph is a knowledge graph that is used to represent knowledge contained in scientific publication documents. The information we can find in a scientific publication document is as follows: author, institution, name of journal/conference, and research topic. A knowledge graph that has been built is usually still not perfect. Some incomplete information may be found. To add the missing information, we can use knowledge graph completion, which is a method for finding missing or incorrect relationships to improve the quality of a knowledge graph. Knowledge graph completion can be carried out on a scholarly knowledge graph by adding new entities and relationships to produce further information in the scholarly knowledge graph. The data added to the scholarly knowledge graph are only other papers of first author entity, the research field of first author entity, and a description of the conference/journal entity. The result shows that the scholarly knowledge graph was completed by adding 81% correct data for other papers of first author entity, 80.3% correct data for the research field of first author entity, and 53.9% correct data for the description of the conference/journal.
Enhancing Lae-Lae Island sustainability: computer vision based waste detection and analysis Nasir, Arnold; Syariati, Kasmir; Suardi, Citra; Sundoro, David; Lordianto, Reinaldo Lewis
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.v8i2.665

Abstract

In our study, "Enhancing Lae-Lae Island Sustainability: Computer Vision-Based Waste Detection and Analysis," we investigate novel approaches to address plastic pollution challenges in coastal ecosystems, focusing on Lae-Lae Island. Through a multidisciplinary approach, we uncover valuable insights for effective waste management and environmental conservation. Spatial analysis identifies concentrated plastic pollution hotspots, offering actionable data for targeted cleanup strategies. Temporal trend analysis reveals waste accumulation patterns, facilitating adaptive waste management decisions. Furthermore, we examine the impact of environmental factors on waste density, aiding in proactive pollution mitigation. Central to our research is the evaluation of computer vision technology, which demonstrates high precision, recall, and an F1-score of approximately 87.8%. These results signify the technology's potential to revolutionize waste detection and monitoring, enabling efficient resource allocation, real-time surveillance, and rapid pollution response. In conclusion, our study provides a data-driven framework for sustainable plastic waste management on Lae-Lae Island, offering insights applicable to coastal regions worldwide. By embracing technology and innovation, we pave the way for cleaner, more resilient coastal ecosystems, underscoring the importance of proactive environmental stewardship.
Data mining for forecasting community mobility denpasar city with long short-term memory method Setiawan , I Wayan Agus Hery; Triandini, Evi; Suniantara , I Ketut Putu; Kuswanto , Djoko
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.v8i2.670

Abstract

Denpasar City has a high potential for community mobility, this is supported by many public facilities. High and highly volatile human mobility causes the transmission of the COVID-19 virus to spread very quickly, so forecasting is needed to find out a picture of future community mobility using data mining techniques. Data mining is the process of solving problems by analyzing data that already exists in the database. Denpasar City community mobility data for the period September 1, 2021 – October 31, 2021 show that most of the high mobility is in the junior high school sector. The Long Short-Term Memory method was chosen as a method that can assist in forecasting community mobility. Long Short-Term Memory has the advantage of dealing with missing gradient problems and can be used on all types of data patterns, whether trend, cyclical, seasonal, or horizontal patterns. Hyperparameter tests were carried out including LSTM_units representing the number of Long Short-Term Memory units in each layer, Dropout, and Optimizer to obtain the optimal prediction method. this combination yields a total of 45 methods. The best hyperparameter obtained is at LSTM_units of 128, Dropout of 0.1, and Optimizer is Adam. The results obtained with this hyperparameter are the Root Mean Square Error (RMSE) value of 971,438687. This method results in forecasting the mobility of the people of Denpasar City from November 1, 2021 to November 7, 2021, reaching 9.550 total checkins which is close to the actual value of 10.219
An efficient and interactive android-based neighborhood management Junianto, Haris; Saputra , Dhanar Intan Surya; Saputro, Rujianto Eko
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.v8i2.681

Abstract

This research aims to design and develop a prototype Android-based Neighborhood Association management information system application using the Agile approach to assist Neighborhood Association administrators in real-time administrative processes and information dissemination. The Agile approach was selected to enhance flexibility and responsiveness in application development, enabling adjustments to potential user needs and changes that may occur during the development process. The application is expected to improve service quality and governance transparency at the Neighborhood Association level while facilitating residents' access to information and interaction with Neighborhood administrators. The application development process employs the Agile approach, involving the development team in iterative cycles to meet user requirements. Research results demonstrate the achievement of research objectives, with the application capable of managing resident data, Neighborhood Association finances, event scheduling, and Neighborhood Association news. The Agile approach used in the application's development provides the flexibility needed to adapt to changing user requirements, offering a solution to the challenges faced by Neighborhood Association administrators in performing their duties. This aligns with Agile principles, emphasizing user collaboration and responsiveness to changes.

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