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Contact Name
Aji Prasetya Wibawa
Contact Email
aji.prasetya.ft@um.ac.id
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businta.2017@gmail.com
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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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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 15 Documents
Search results for , issue "Vol. 8 No. 1 (2024)" : 15 Documents clear
Evaluation and analysis of virtual tour application acceptance in Cau Belayu Tabanan Village using Technology Acceptance Model (TAM) Sarja, Ni Ketut Pradani Gayatri; Widana , I Putu Krisna Arta; Sarja, Ni Luh Ayu Kartika Yuniastari
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.v8i1.594

Abstract

Tourism villages are required to be innovative and creative in promoting their village if it want to survive in the midst of the COVID-19 pandemic situation. Utilise one part of virtual reality, namely virtual tours, can be used to promoting tourism villages, one of them is the Cau Belayu Tourism Village. Virtual tour is a new technology, therefore it is necessary to analyze the virtual tour that was developed with the aim of measuring the level of usefulness and level of user acceptance of the Virtual Tour of Cau Belayu Tourism Village. The purpose of this research is to evaluate and analyze the level of user acceptance of the Cau Belayu Tourism Village Virtual Tour so that in its implementation it can attract tourists to visit the village and increase the tendency of tourists to visit tourist villages directly. This research uses the Acceptance Model (TAM) evaluation model which has been proven to be effective in evaluating the level of acceptance of other technologies, therefore it is also used to evaluate the developed virtual tour. Several constructs used as test variables from the TAM model are used, namely Perceived Ease of Use (PEOU), Perceived Enjoyment (ENJ), Perceived Usefulness (PU), and Tendency to visit Actual Sites (TenAS). The results of hypothesis testing show that the four hypotheses are proven, namely H1: PEOU has a positive effect on PU with a significance value of 0.0030 < 0.05, H2: PEOU has a positive effect on ENJ with a significance value of 0.0030 < 0.05, H3: PU increased TenAs with a significance value of 0.007 < 0.05 and H4: ENJ increased TenAs with a significance value of 0.00 < 0.05.
Decision Support System for Volunteer Selection for Archipelago Marine Volunteers (Rapala) Using the Profile Matching Method Hozairi; juhairiyah; Makruf , Masdukil; Alim, Syariful
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.v8i1.620

Abstract

This study aims to develop a Decision Support System (DSS) for selecting candidates for Archipelago Sea Rangers Volunteers (RAPALA) using the profile matching method. Bakamla RI, as an institution responsible for maritime security in Indonesian territorial waters, requires prospective RAPALA volunteers who are qualified and have the appropriate competence to protect the archipelago's seas, which are increasingly threatened. In this study, a decision support system was developed that can compare the profiles of prospective volunteers with predetermined criteria. This system aims to improve efficiency and accuracy in the selection process for volunteer candidates, as well as strengthen selection criteria and methods based on appropriate profiles. To create a decision support system, the profile matching method is used. Profiles of prospective volunteers are assessed based on factors such as intelligence, work attitude, behavior, and domicile. This study shows that the RAPALA-1 candidate is ranked first with a score of 4.76, the RAPALA-2 candidate is ranked second with a score of 4.49, and the RAPALA-3 candidate is ranked third with a score of 4.26. It is hoped that with this decision-support system, the selection process for RAPALA volunteer candidates can be carried out more efficiently and objectively. The selected volunteer candidates are expected to have the right skills and motivation to maintain the security and preservation of the archipelago's seas. This will contribute to increasing the security and sustainability of marine resources in Indonesia.
Digitalization on business model innovation: a systematic literature review on current studies Suswanto, Budyi; Priyo Purnomo, Eko; Hadiyati , Ernani
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.v8i1.644

Abstract

This research examines business model innovation (BMI), which has recently received attention from academics and practitioners due to the enhancement of global competition and the constant need to adapt to the changing environment. Therefore, the main objective of this study is to provide an overview of state-of-the-art research on business model innovation by conducting a systematic literature review. The author's review provides a deeper understanding and detail on the main components of Business Model Innovation (BMI). Likewise, the author's research identifies the role of digitalization in Business Model Innovation. This study comprises a comprehensive literature evaluation with a particular focus on studies linked to the use of digital technologies and business models to understand better attempts to promote the usage of digital systems. This study aims to promote the academic conversation about how industrial companies might use digital technologies to innovate business models and create a sustainable industry. Implementing new business models that promote the implementation of digital systems necessitates an essential shift of the corporate ecosystem into one in which appreciation is jointly generated by suppliers, environment partners, and consumers through resource optimization and efficient functioning and use of technology.
A comprehensive analysis of IoT security and privacy in smart city applications Zainuddin, Ahmad Anwar; Othman , Adam; Adlin Muhammad Zahid , Nur; Anis Sofea Kamarul Zaman , Nur; Nur Maisarah Ahmad Razmi , Alin; Haiqal Azreen Kamarul Zaman , Mohammad
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.v8i1.645

Abstract

With the increasing growth of smart cities, the Internet of Things (IoT) has emerged as a key enabler, integrating various systems and devices to create intelligent urban environments. However, increased interconnectedness raises significant concerns regarding security and for IoT communications privacy. This work addresses the problems with and remedies for IoT connectivity in smart cities that are related to security and privacy. The problems will be addressed by examining the potential risks and vulnerabilities associated with IoT networks, considering device authentication, data encryption, access control, and intrusion detection. Furthermore, an investigation on privacy issues and provide ways to protect sensitive data, such as differential privacy and data anonymization will be conducted. This work further provides a rundown of current safeguarding and discretion practises in IoT communications and highlight new technologies that hold promise for addressing these challenges, based on a detailed assessment of existing research and case studies. Moreover this work outlines important avenues for future study and offer suggestions for strengthening the privacy preservation of IoT communications in the context of tech cities. By solving these fundamental issues, the dependability, sustainability, and trustworthiness of IoT deployments in smart cities can be guaranteed, enabling them to reach their full potential for enhancing the quality of life for urban people.
Impact of China-India relationship on the socio-economic factor of Pakistani society Ali, Aqib
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.v8i1.648

Abstract

With the conclusion of the Cold War, India and China both initiated new foreign policies. Financial reciprocity made the improvement of commerce and other energetic and formative endeavors possible. Pakistan, a nation economically dependent on China, is concerned about the growing linkages between these two countries. Enhancing China's connections with India would require shifting China's attention to a more stable and grounded country. This fear was warranted, given that doing so would grant China access to Central Asian governments and improve China's political and economic standing. Pakistan receives support from China in various public and international challenges; nevertheless, having a reliable ally such as India will encourage trade and collaboration in a different area of focus. It has been decided that China will re-evaluate its ties with Pakistan. Despite this, Pakistan has managed to dodge India's clear pull; it will take China some time to adjust its perspective on India if Pakistan's issues of monetary instability, political instability, and security only improve later. Hence, linkages between India and China's monetary system may get more robust, jeopardizing Pakistan's geostrategic and international goals
A comparative study of artificial intelligence in education psychology: the cases of Indonesia and Thailand Utina, Sitriah Salim; Chusniyah, Tutut; Inseachiangmai, Jittakorn; Zahra, Gebi Angelina; Pambudi, Kukuh Setyo
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.v8i1.663

Abstract

Various applications of artificial intelligence (AI) are currently being developed to enhance and transform the educational experience. However, things like culture, society, and ethics may have an impact on how artificial intelligence is implemented in classrooms all around the world. This study aims to analyze the existing use of AI in education in two Southeast Asian nations, namely Indonesia and Thailand, and to compare those two environments in terms of their potential. Specifically, the research will focus on Indonesia. We gathered papers, publications, and websites from both countries in order to perform an in-depth analysis as part of a comprehensive literature study that we carried out. The ethical and social repercussions of using AI in education, the best practices and suggestions for using AI in education, the possibilities and problems presented by using AI in education, and the preparedness and obstructions presented by using AI in education. Our study demonstrates that there are parallels and variances between the perceptions and experiences of educators and students from the two nations about the use of AI in educational settings, and it also makes recommendations for future research and practice
Comparative Analysis of Application Layer Protocols in EV Charging Stations: Evaluating HTTP, MQTT, and Websocket Performance Metrics Argeshwara, Dityo Kreshna; Hadi, Mokh. Sholihul; Sendari, Siti; Irvan, Mhd
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.v8i1.664

Abstract

In the burgeoning domain of electric vehicle (EV) technology, the advancement of supportive ecosystems plays a pivotal role. There is a marked global uptrend in the adoption of EVs, necessitating a robust network of EV charging stations. Integral to these stations is the infrastructure and the accompanying systems that govern their operation. With increased utilization, the exigency for expeditious service at these charging points escalates. This study undertakes a comparative analysis of three distinct data communication protocols at the application layer, specifically within the context of EV charging stations. The protocols scrutinized include Hypertext Transfer Protocol (HTTP), Message Queuing Telemetry Transport (MQTT), and Websocket. The benchmark for data transmission in this investigation is the delivery of energy information, adhering to the Open Charge Point Protocol (OCPP), a legally standardized open protocol. The data format employed is JavaScript Object Notation (JSON). Data transmission utilizing the three aforementioned protocols was intercepted and analyzed using Wireshark, a network protocol analyzer. Parameters such as latency (delay), jitter (variability of latency), and throughput (successful data delivery over a communication channel) were meticulously examined and subsequently represented graphically to enhance the interpretability of the network protocol performance. The findings reveal distinct transmission characteristics for each protocol, despite identical data payloads. HTTP exhibited the superior throughput, peaking at 31,621 bits per second (bps) during real-time data transmission. Conversely, MQTT demonstrated the most favorable latency and jitter metrics, both for real-time and periodic data dispatches. Websocket, however, registered the lowest throughput in real-time transmission, at 4,941 bps. These divergences underscore the importance of protocol selection based on specific performance criteria within EV charging station ecosystems.
Predicting financial distress of property and real estate companies using optimized support vector machine - particle swarm optimization (SVM-PSO) Ayuni, Ni Wayan Dewinta; Lasmini, Ni Nengah; Dewi, Kadek Cahya
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.v8i1.667

Abstract

Financial distress is a critical phenomenon in a company that has significant implications for the business itself, employees, investors, and creditors, and can also impact the economy of a country. Predicting the financial distress of a company, including property and real estate companies, becomes one of the crucial things to be studied. The Support Vector Machine (SVM) is said to be the most effective model for prediction and classification among other machine learning methods. However, it is difficult to determine the parameters of the SVM model. Thus, the SVM model's parameters must be improved for higher accuracy results. This research aims to increase the accuracy of the SVM model in predicting the financial distress of property and real estate companies. The optimization method used is Particle Swarm Optimization (PSO). PSO is one of the most well-known techniques for enhancing SVM parameters. The PSO approach takes its cues from how a group of insects or birds interacts to maintain life. Initialized in a D-dimensional search space, the PSO algorithm uses a population of random particles that are considered as points. Each particle modifies its direction using the best experience it discovers (pbest) and the best experience discovered by all other members (gbest) to arrive at the ideal outcome. As a result, throughout the search process, particles will move through multidimensional space to more advantageous locations. The result of this research showed that the SVM model has the highest accuracy at 80.47% while when the PSO method was implemented in the SVM model, the accuracy increased into 83.16%. It can be concluded that the PSO method successfully optimized the parameters and increased the accuracy of SVM model in predicting the financial distress of property and real estate companies listed in Indonesian Stock Exchange.
Monitoring and controlling humidity and pH use of LoRa in IoT-Based hydroponic planting Usman, Usman; Achmad, Andani; Yuyun, Yuyun; Satra, Ramdan; Tribuana, Dhimas; Konate, Siaka
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.v8i1.672

Abstract

Indonesia, a tropical country with a growing population, has significant potential for food production but faces challenges in meeting this demand. Factors such as generation change, industrialization, and food production monopolies, as well as climate change, food security measures, and a lack of technological progress, affect productivity. Governments need to address these problems by implementing policies such as cost efficiency, supply chain management, minimum labour consumption, and effective food distribution. Food security is vital to the health and well-being of the population, and food is a vital food source to consume. Vegetables, a popular food source, are vital for health and growth. Salad, a plant used for food production, is beneficial to food production and is the main food in the modern market. Technologically speaking, food security is vital to the health and well-being of the population. Governments should focus on improving food security and ensuring that food is accessible to all. The proposed system consists of five sensors: the DHT11 sensor, the TDS meter, the humidity sensor (DS18B20), the water height sensor, and the pH meter. Data from the sensor will be stored in a cloud database via the LoRa communication network, allowing users to access data through Android applications.
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.

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