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Journal of Social Science Utilizing Technology
Published by Yayasan Adra Karima Hubbi
ISSN : 30265959     EISSN : 3026605X     DOI : 10.70177/jssut
Core Subject :
Journal of Social Science Utilizing Technology focused on new research addressing Information, Management, Educational Technology, eLearning, Media Management, Human Resources, Fine and Applied Arts, Humanities Social Sciences, General and CrossDisciplinary and Communications Technologies as Applied to the Digital Worlds of Business, Government and Non-Governmental Enterprises. The Journal publishes work from all disciplinary, theoretical and methodological perspectives. It is designed to be read by researchers, scholars, teachers and advanced students in the fields of Information Systems, Management and Information Science, as well as information technology developers, consultants, software vendors, and senior business and information technology executives seeking an update on current experience and future prospects in relation to contemporary information and communications technologies.
Arjuna Subject : -
Articles 124 Documents
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Opportunities and Challenges in AI-Driven Cybersecurity: A Systematic Literature Shahwali Shahidi; Farid Ahmad Darmel; Safiullah Jalalzai; Ghulam Ali Amiri
Journal of Social Science Utilizing Technology Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i4.1541

Abstract

Background. The need for more sophisticated security strategies has become apparent as the number of cyber threats grows. AI is one framework that has been shown to boost security by providing advanced threat detection and response capabilities. Nonetheless, AI integration introduces inherently ethical and privacy-related concerns. Purpose. This research examines the AI implementation factors influencing the overall performance of the AI for cybersecurity and data privacy in both critical infrastructures and financial services. Method. This research derives its data from the extensive literature published from 2019 to 2024 in notable databases such as IEEE, Science Direct, MDPI, and Wiley Library, with more than 300 records. This analysis examined, with the help of artificial intelligence tools, the patterns and recurrent problems about the place of AI in cybersecurity, setting sights on the present challenges in the domains of intrusion detection and mitigation. Results. The results indicate that better threat detection in industry is enabled by AI. However, disadvantages of bias, the need for privacy, and suboptimal data management are evident, necessitating the need for stronger machine and human-readable regulations. Conclusion. Although AI strengthens security in an age of cyber-insecurity, its shortcomings point to the need for further development. Post-quantitative encryption palliatives and integration models will be effectively handled as cybersecurity-harming threats evolve.
The Role of Statistical Methods in Enhancing Artificial Intelligence: Techniques and Applications Abdul Wajid Fazil; Jaamay Kohistani; Bilal Rahmani
Journal of Social Science Utilizing Technology Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i4.1608

Abstract

Background. The undeniable infiltration of artificial intelligence into numerous career fields underlines statistical methods as an important tool in optimizing accurate results from AI. Therefore, the simulation of sound statistical practices is, therefore, unavoidable in healthcare, finance, and environmental sciences for such purposes as model validation performance improvement and uncertainty analysis, among other reasons. Purpose. The purpose of this proposal is to collaboratively analyze the role of statistical methods, like regression, Bayesian inference, Fi-Parsing, etc., in optimizing AI. Some examples will further aid in reinforcing the moment of reliability and firmness of any AI application. Method. A full systematic literature review (SLR) was conducted that analyzed scholarly publication articles from 2019 to early 2024 in reputed databases such as Springer, MDPI, ScienceDirect, and Wiley. The focus of the review is on the application of statistical techniques on the AI systems for improved performance and decision-making reliability. Results. The findings show that statistical methods highly recommend their role in AI model validation uncertainty representation, prediction, and optimal performance enhancement. The evidence for improved performance in critical areas such as healthcare, finance, and environmental science creates great hurdles for high-stakes decision-making. Conclusion. The study upholds the fundamentally critical role that statistical methods occupy and their role in AI development towards future pursuits of research and practical work. A clear-cut pathway to institutionalizing these methods in AI technology is proposed as a guarantee of its reliability and sustainability in diverse applications.
The Role of Information Systems in Facilitating Collaborative Learning in Higher Education Amelia Hayati; Mahon Nitin; Hilda Dwi Yunita; Fatimah Fahurian; Triyugo Winarko
Journal of Social Science Utilizing Technology Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i4.1614

Abstract

Background. The rapid evolution of digital technologies has transformed educational practices, with information systems playing a critical role in enhancing collaborative learning in higher education. Collaborative learning, which emphasizes peer-to-peer interaction and shared knowledge construction, fosters critical thinking, problem-solving, and teamwork skills essential for the 21st-century workforce. Despite its potential, the implementation of effective collaborative learning strategies often faces challenges such as insufficient technological support and lack of engagement. Purpose. This study investigates the role of information systems in facilitating collaborative learning, focusing on their impact on student engagement, knowledge sharing, and learning outcomes. Method. A mixed-method approach was employed, combining quantitative surveys and qualitative interviews with 200 undergraduate students and 20 faculty members across three higher education institutions. Data were collected on the use of information systems such as learning management platforms, virtual collaboration tools, and online forums. Key performance indicators included student engagement, participation rates, and academic performance. Results. The findings revealed that information systems significantly enhance collaborative learning by providing a centralized platform for communication, resource sharing, and real-time interaction. Students reported a 30% increase in engagement and a 25% improvement in teamwork efficiency when using digital collaboration tools. Faculty members highlighted the ease of monitoring and supporting group activities through analytics and reporting features. Challenges such as digital literacy gaps and technical issues were also identified. Conclusion. The study concludes that information systems are pivotal in enabling effective collaborative learning by fostering connectivity, engagement, and accountability among students. Addressing challenges related to accessibility and technical support will maximize their potential in higher education.
STEM to STEM: Integrating Applied Mathematics with Visual Arts to Enhance Creative Thingking in Higher Education Yani Prabowo; Kardina Metha Rozhana; Antonius Alam Wicaksono; Firsta Bagus Sugiharto; Kailie Maharjan
Journal of Social Science Utilizing Technology Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i4.1615

Abstract

Background. The integration of Science, Technology, Engineering, and Mathematics (STEM) with the Arts, forming STEAM, has gained attention as an approach to enhance creative thinking and interdisciplinary learning in higher education. While STEM disciplines emphasize analytical and problem-solving skills, the inclusion of visual arts fosters innovation and creativity, preparing students for complex, real-world challenges. Purpose. This study explores the integration of applied mathematics with visual arts as a STEAM approach to enhance creative thinking in higher education. Method. The research adopts a mixed-method design, combining quantitative and qualitative methods to assess the impact of a STEAM-based curriculum. A quasi-experimental study was conducted with 120 undergraduate students divided into experimental and control groups. The experimental group engaged in interdisciplinary projects combining mathematical modeling with artistic design, while the control group followed a traditional STEM curriculum. Creativity was measured using the Torrance Tests of Creative Thinking (TTCT) and student reflections. Results. The findings reveal that the experimental group demonstrated a 40% improvement in creative thinking scores compared to the control group. Qualitative data indicated that students in the experimental group exhibited greater engagement, motivation, and ability to connect abstract mathematical concepts with practical, creative applications. Challenges included time management and adapting to interdisciplinary methodologies. Conclusion. The study concludes that integrating applied mathematics with visual arts in a STEAM-based curriculum significantly enhances creative thinking. This approach fosters interdisciplinary collaboration, innovation, and engagement among students. Future research should explore its scalability across diverse educational settings and disciplines.
The Influence of Business Risk and Corporate Governance on Share Prices with Moderating Variables Dividend Policy in Banking Companies Listed on the Indonesian Stock Exchange in 2021-2023 Rachel Nayna Sofyamitha; Dwi Ermayanti Susilo
Journal of Social Science Utilizing Technology Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i4.1627

Abstract

Background. Share prices reflect the performance and investors' perceptions of company prospects, including those in the banking sector. Business risk and corporate governance influence share prices, while dividend policy can strengthen or weaken this relationship. This research is important to understand these dynamics in banking companies listed on the IDX during the 2021-2023 period, considering the post-pandemic economic challenges. Purpose. This research aims to examine the influence of business risk and corporate governance on share prices with the moderating variable dividend policy in banking companies listed on the Indonesian Stock Exchange in 2021-2023. The stock market reflects investors' expectations and perceptions of company performance through share price movements. Method. This research uses a quantitative approach based on positivistic philosophy, which focuses on measuring and testing phenomena empirically. This approach emphasizes that a phenomenon is considered to exist if it can be proven through measurable data. Therefore, the analysis was carried out objectively using quantitative data. This aims to ensure the validity and accuracy of research results. This research uses data from 47 banking companies listed on the Indonesia Stock Exchange. Sample selection was carried out using a purposive sampling method based on certain criteria. As a result, 25 companies were obtained that met the criteria for further analysis. This data is the basis for evaluating the relationship between variables in the study. Results. The results of this research show that: 1) Business Risk has a negative effect on stock prices, 2) Corporate Governance has a negative effect on stock prices, 3) Business Risk has a negative effect on dividend policy, 4) Corporate Governance has a negative effect on dividend policy, 5) Dividend policy weakens the influence of business risk on share prices, and 6) Dividend Policy weakens the influence of Corporate Governance on share prices. Conclusion. Business risk and corporate governance influence stock prices, with dividend policy as a moderating variable. Good corporate governance creates transparency and supports share price stability. A consistent dividend policy provides a positive signal to investors, strengthening the relationship with share prices.
Comparative Analysis of e-Learning and u-Learning Environments in Corporate Training Mohamad Trio Febriyantoro; Rifki Zaitul Ikhlas; Rashid Rahman; Shahinur Rahman
Journal of Social Science Utilizing Technology Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i4.1737

Abstract

Background. The rapid evolution of digital technologies has significantly impacted corporate training methods. Traditional e-learning environments have been widely adopted, yet the emergence of ubiquitous learning (u-learning) presents a shift towards more flexible, context-aware learning experiences. Despite the growing interest, limited studies provide a comparative analysis between e-learning and u-learning in corporate settings. Purpose. This research aims to evaluate and compare the effectiveness of e-learning and u-learning environments in corporate training, focusing on learner engagement, content delivery, and overall performance. Method. A mixed-methods approach was used, combining quantitative surveys and qualitative interviews with corporate employees who participated in both e-learning and u-learning training programs. Data were collected across several multinational companies, and analyzed using statistical tools to identify performance trends and engagement metrics. Results. Findings reveal that u-learning environments enhance learner engagement and adaptability due to their flexibility in accessing content across diverse devices and contexts. Conversely, e-learning showed better outcomes in structured, course-driven scenarios but lacked the same level of interaction and contextual learning. Conclusion. The study concludes that u-learning environments provide a more personalized and engaging training experience, particularly for employees with diverse learning needs. Organizations should consider integrating u-learning strategies alongside traditional e-learning for more dynamic corporate training programs.
New Media Strategies for Managing Digital Content in Educational Broadcasting I Putu Astawa; Abdillah Rofiif Fatin Ritonga; Kailie Maharjan; Mahon Nitin
Journal of Social Science Utilizing Technology Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i1.1738

Abstract

Background. In the digital age, educational broadcasting has become a key tool for delivering content to diverse audiences. The rapid development of new media technologies has transformed the way educational content is created, distributed, and consumed. However, managing digital content effectively remains a challenge for educational broadcasters, especially when it comes to adapting to evolving platforms and audience preferences. Purpose. This research aims to explore new media strategies for managing digital content in educational broadcasting, with a focus on optimizing content creation, distribution, and engagement across various digital platforms. Method. A qualitative research approach was employed, involving interviews with industry professionals and case studies of successful educational broadcasting programs. The study also analyzed digital content management practices in leading educational broadcasters and platforms. Results. The study found that successful educational broadcasters utilize a combination of adaptive content strategies, audience analytics, and interactive tools to manage digital content effectively. Key strategies included cross-platform content distribution, audience-driven programming, and the integration of real-time feedback mechanisms. Conclusion. The research concludes that new media strategies, such as adaptive content and data-driven decision-making, are crucial for enhancing the effectiveness of digital content management in educational broadcasting. Implementing these strategies can lead to more engaging and accessible educational experiences for a global audience.
Interactive Digital Art Exhibitions: Enhancing Public Engagement Through Technology in Fine Arts Ngr. Putu Raka Novandra Asta; Rohmat Sahirin; Mariam Khan; Nguyen Minh Tu
Journal of Social Science Utilizing Technology Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i4.1739

Abstract

Background. Interactive digital art exhibitions have emerged as a significant trend in the intersection of technology and fine arts. These exhibitions leverage digital tools and technologies to enhance public engagement, offering immersive experiences that traditional art displays often lack. With the rise of digital technologies, there is a growing interest in understanding how interactive elements influence the way audiences engage with art and how such exhibitions can make art more accessible to a wider audience. Purpose. This study aims to investigate the impact of interactive digital art exhibitions on public engagement, focusing on how technology can be utilized to create more immersive and participatory experiences for art viewers. Method. A mixed-methods approach was employed, combining quantitative surveys and qualitative interviews with visitors of interactive digital art exhibitions. Data were collected from three art galleries hosting such exhibitions, with a sample of 200 participants. The study analyzed engagement levels, visitor feedback, and the role of technology in enhancing the art experience. Results. Findings indicate that interactive digital art exhibitions significantly increase visitor engagement, with 85% of participants reporting a deeper connection with the artwork. Technology, particularly interactive displays and virtual reality, was identified as a key factor in improving the audience’s overall experience. Conclusion. Interactive digital art exhibitions offer a novel approach to engaging the public in fine arts, making art more dynamic and accessible. The integration of technology enhances visitor interaction and creates more memorable and impactful experiences.
Blockchain Technology for Enhancing Transparency and Accountability in Educational Administration Chevi Herli Sumerli A; Adam Mudinillah; Bouyea Jonathan; Nurul Giswi Karomah; Noor Fazariah Handayani
Journal of Social Science Utilizing Technology Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i4.1779

Abstract

Background. Educational institutions face increasing demands for transparency and accountability in their administrative processes. Traditional systems often lack the necessary security, efficiency, and transparency to meet these demands, leading to issues such as fraud, mismanagement, and mistrust. Blockchain technology, known for its decentralized and immutable nature, has emerged as a promising solution to address these challenges within educational administration. Purpose. This research aims to explore the potential of blockchain technology in enhancing transparency and accountability in educational administration. The study focuses on how blockchain can improve data integrity, reduce administrative costs, and streamline processes in educational institutions. Method. A qualitative approach was adopted, involving case studies of institutions that have implemented blockchain-based solutions for administrative purposes. Data was collected through interviews with administrators, technology experts, and stakeholders to assess the impact of blockchain technology on transparency and accountability. Results. The findings indicate that blockchain significantly improves data security and traceability, ensuring that records are tamper-proof and easily auditable. It also reduces administrative overhead by automating processes and streamlining communication between stakeholders. Furthermore, blockchain enhances stakeholder trust through transparent and decentralized decision-making. Conclusion. Blockchain technology holds great promise for revolutionizing educational administration by providing a secure, transparent, and efficient system. Future research should focus on addressing scalability challenges and exploring broader applications of blockchain in educational settings.
Leveraging Big Data Analytics for Talent Management and Prediction in Human Resources Ahmad Hariri; Rachmat Prasetio; Abdullah Al-Shammari; Sevda Kara
Journal of Social Science Utilizing Technology Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i4.1780

Abstract

Background. The increasing complexity of workforce management in modern organizations has driven the adoption of innovative tools such as Big Data Analytics (BDA) in human resources (HR). Talent management, encompassing recruitment, retention, and performance evaluation, has become a critical focus for organizations aiming to maintain competitiveness. Big Data Analytics enables HR professionals to identify patterns, predict trends, and make data-driven decisions, enhancing talent management processes. Despite its potential, the application of BDA in HR faces challenges, including data integration, privacy concerns, and skill gaps. Purpose. This study explores the role of Big Data Analytics in improving talent management and prediction, focusing on its impact on decision-making and organizational outcomes. Method. A mixed-method research design was employed, incorporating quantitative analysis of HR metrics and qualitative insights from interviews with HR professionals. Data were collected from 15 organizations across diverse industries, analyzing employee performance, recruitment patterns, and turnover rates. Predictive models were developed using machine learning algorithms to forecast talent trends and inform HR strategies. Results. The findings revealed that BDA significantly improved talent acquisition and retention processes, with a 25% increase in recruitment efficiency and a 30% reduction in turnover rates. Predictive models accurately identified high-potential candidates and flagged at-risk employees, enabling proactive interventions. Challenges related to data privacy and technical expertise were highlighted as areas for improvement. Conclusion. The study concludes that leveraging Big Data Analytics transforms talent management by enabling evidence-based decision-making and predictive insights. Addressing implementation challenges and investing in skill development will maximize its potential in HR practices.

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