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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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Adaptive Learning Based on Artificial Intelligence to Overcome Student Academic Inequalities Faridul Ansor; Nur Aisyah Zulkifli; Dwi Susi Miftakhul Jannah; Aldila Krisnaresanti
Journal of Social Science Utilizing Technology Vol. 1 No. 4 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v1i4.663

Abstract

Background. In the context of higher education, academic inequality is a serious obstacle in achieving equitable learning outcomes among students. Factors such as educational background, learning styles, and differences in mastery of material are the main triggers for this inequality. To overcome this challenge, innovative approaches such as adaptive learning based on Artificial Intelligence (AI) have emerged as a potential solution. Purpose. This research aims to investigate the potential of AI-based adaptive learning in overcoming academic inequality among students. By combining AI technology, this research seeks to provide personalized solutions tailored to each student's learning needs. Method. This research uses quantitative methods with a survey model. A total of 20 respondents were selected representatively to provide their views on learning experiences, preferences and views regarding adaptive learning. This survey provides relevant data to understand whether the implementation of AI-based adaptive learning can be considered an effective measure to reduce academic inequality. Results. The research results show that the majority of respondents face difficulties in understanding course material in general. However, most also expressed openness to the use of AI-based adaptive learning. This positive perception can be an indication of the potential success of implementing this technology as a solution to overcome academic inequality. Conclusion. Taking into account the research results, AI-based adaptive learning is promising as a solution that can align the learning needs of individual students. Although implementation challenges remain, this research provides initial impetus for further exploration of the application of AI technologies in achieving academic equity in higher education settings.
Student Sentiment Analysis: Implementation of Artificial Intelligence in Improving Teaching Quality Loso Judijanto; Aswamedhika Aswamedhika; Ismul Aksan; Idam Mustofa
Journal of Social Science Utilizing Technology Vol. 1 No. 4 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v1i4.664

Abstract

Background. Higher education in this digital era is faced with significant changes, especially with the development of artificial intelligence (AI) technology. Purpose. This research aims to explore the potential and limitations of integrating AI technology in improving the quality of distance learning and present findings that can guide the development of AI-based pedagogy. Method. This research method adopts a quantitative survey approach to detail the integration of artificial intelligence (AI) technology in the context of distance learning in higher education. A total of 20 students were randomly selected as respondents, with sample selection using the purposive sampling method. This process ensures maximum representation of students who have significant experience with the integration of AI technology in their learning. Data was collected through questionnaires focused on effectiveness, adaptability of material, and level of interactivity during learning. Next, descriptive and inferential statistical analysis will analyze patterns and relationships between variables to explore the effectiveness of AI technology, the factors that influence it, and its impact on student learning experiences. Results. Survey results show that the majority of students actively use AI technology, especially several times a week, and express a high level of satisfaction with the use of AI technology in distance learning. Virtual Reality or Augmented Reality learning experiences were considered to benefit the most, even though all respondents experienced challenges or obstacles in using AI technology. Conclusion. The conclusions of this research emphasize the need to address these challenges to maximize the benefits of integrating AI technology in increasing the effectiveness and efficiency of distance learning in higher education.
Revitalizing The Higher Education Curriculum Through An Artificial Intelligence Approach: An Overview Sanasintani Sanasintani
Journal of Social Science Utilizing Technology Vol. 1 No. 4 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v1i4.670

Abstract

Background. Higher education is faced with the challenges of global change which requires innovative curriculum adaptations. In this context, this research aims to develop practical guidelines for higher education institutions in implementing curriculum changes by utilizing artificial intelligence (AI). Purpose. The aim of the research is to develop practical guidelines for higher education institutions in order to implement innovative curriculum changes and responsive to global change. Method. Research methodology uses a quantitative approach with survey design. Identify key variables, including students’ understanding of AI, preferences for AI learning methods, and their views on its impact on the learning experience. The research process involved developing a comprehensive survey instrument with questions designed to gain in-depth insight into student perceptions. The research sample consisted of 20 respondents from higher education program students who were randomly selected. Surveys can be carried out online or through face-to-face interviews. Results. Data analysis involves statistical methods, including descriptive analysis, categorization, and coding to identify patterns in student responses. The survey results reflect a positive level of understanding (70%) and confidence (80%) of students in the role of AI in improving the quality of learning. There is a group that is neutral (20%), indicating the need for further understanding. Conclusion. The survey results create a comprehensive picture of student perceptions and preferences for AI in higher education. Most respondents showed positive acceptance of this technology, with about half expressing a preference for learning involving AI. Overall, this research provides a foundation for higher education institutions to design effective communication and expectation management strategies to ensure optimal acceptance and participation in AI implementation.
The Role of Artificial Intelligence-Based Recommendation Systems in Selection of Courses for Students Zulfikri Akbar; Encep Sopandi; Badruzzaman Badruzzaman; Muh Fihris Khalik
Journal of Social Science Utilizing Technology Vol. 1 No. 4 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v1i4.671

Abstract

Background. Modern higher education institutions are faced with complex challenges in developing curricula that suit students’ needs and interests. To overcome this challenge, artificial intelligence-based recommendation systems are an attractive alternative. This system can help students in selecting courses, providing suggestions that suit their interests and needs. Purpose. This research aims to understand students’ experiences and views on recommendation systems in selecting courses in higher education, with a focus on system effectiveness, level of student trust, and ease of use. The main objective is to identify the impact of recommendation systems on students’ academic decisions. Method. The research used a quantitative survey method of 20 students at universities by collecting data through online questionnaires. The results of the analysis show that the majority of respondents are experienced with the recommendation system, rely on it in selecting courses, and tend to follow the recommendations, as well as showing user satisfaction and the influence of the system on academic decisions. Results. The results of the study show that artificial intelligence-based recommendation systems play an important role in guiding students in their academic decision-making. However, there is a need for a deeper understanding of the factors that influence user satisfaction and system effectiveness. The interim conclusion emphasizes the need for further development and adjustment of the course recommendation system in order to increase its responsiveness to student needs. Conclusion. This conclusion is the basis for deeper reflection and the development of a course recommendation system that can more effectively meet student expectations and needs in the ever-developing era of higher education. In this way, this research has the potential to make a significant contribution to the development of more adaptive and responsive academic decision support systems.
The Transformative Power of Information and Communication Technology in Empowering Women in Afghanistan Musawer Hakimi; Mohammad Mustafa Quchi; Ansarullah Hasas; Abdul Wajid Fazil
Journal of Social Science Utilizing Technology Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i1.702

Abstract

Background. This research addresses the intersection of Information and Communication Technology (ICT) and women’s empowerment in Afghanistan, aligning with global initiatives and Sustainable Development Goals (SDGs). The study aims to provide nuanced insights into the multifaceted impact of ICT on financial independence, economic empowerment, and health outcomes among Afghan women. Purpose. The research employs a purposive sampling method, involving 170 participants from diverse regions in Afghanistan to ensure representation from areas with varying socio-economic and cultural characteristics. Through a mixed-methods approach, including structured surveys and qualitative analysis, the study seeks to understand the perceptions of ICT and its experiences with women’s empowerment. Method. Structured surveys cover demographics, ICT perceptions, and women’s empowerment experiences. Qualitative data undergo thematic analysis, while quantitative analysis utilizes statistical methods such as ANOVA, logistic regression, chi-square tests, binomial tests, and descriptive statistics. Results. The findings underscore a consensus among participants on the positive impact of ICT, particularly on financial independence, economic empowerment, and health outcomes. Associations between telemedicine, digital health, and improved women’s health are identified. Binomial tests highlight success in bridging the digital gender gap and enhancing awareness. Positive perceptions of social media, online communities, and digital advocacy in promoting gender equality are revealed through descriptive statistics. Conclusion. This study contributes novel insights by comprehensively examining the impact of ICT on women’s empowerment in Afghanistan, covering diverse dimensions such as financial independence, economic empowerment, and health outcomes. The robust mixed-methods approach yields unique findings that enrich the existing literature on ICT and women’s empowerment.
The Influence of Collaborative Learning Models in Increasing Elementary School Students’ Creativity and Motivation Sanasintani Sanasintani
Journal of Social Science Utilizing Technology Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i1.703

Abstract

Background. Collaborative learning is increasingly being implemented in elementary schools as an alternative to increase student creativity and motivation. However, the challenges and obstacles in its implementation need to be considered to understand its impact on learning effectiveness. Teachers should have many methods to make students happier and receive lessons well Purpose. This research aims to investigate the effect of the collaborative learning model on increasing student creativity and motivation at the elementary school level in West Sumatra. The main focus is to understand teachers’ perceptions of this model, identify the obstacles faced, and evaluate its effectiveness. Method. The research method used was a quantitative survey with 20 teachers from several elementary schools in West Sumatra district as respondents. Data collection was carried out through distributing questionnaires designed to measure teachers’ perceptions of the collaborative learning model, as well as its impact on student creativity and motivation. Data analysis used the Miles and Huberman approach.   Results. Analysis of the questionnaire results showed that the majority of teachers (75%) strongly agreed that the collaborative learning model had great potential to increase student creativity and motivation. However, the main challenge identified was the limited time in the established curriculum. Conclusion. Although the collaborative learning model is considered effective, teacher support and understanding needs to be improved through additional training. Strategic adjustments are also needed to overcome the constraints of time constraints and individual evaluations, as well as to understand more deeply differences in student skill levels. Overall, this learning model has great potential in increasing student motivation and creativity in elementary school, provided it is expanded and better supported by educators.  
Islamisation of Science: Al-Attas’ View and Its Implementation at Qur’anic Boarding School Darul Fattah Junior High School Surya Hidayat; Alfian Izzul Fikri; Iwan Harsono
Journal of Social Science Utilizing Technology Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i1.708

Abstract

Background. The Islamization of science was born because of the rapid development of Western science in the midst of the decline of Muslim science. So that many fields of science are adopted from Western understanding which tends to contain elements of secularism. In addition, the atomization of science that separates science and religion makes science further away from the concept of religion. To maintain the existence of Islamic science in this era, the Islamization of science was born as a solution, where this science combines the advantages of each without eliminating the sacredness of Islam in it. Syed Muhammad Naquib Al-Attas is one of the figures in the Islamization of Science. Purpose. The purpose of this research is to find out how the application of Islamization according to Al Attas’ view in schools. Method. this research used a qualitative approach. With the case study method, students who study at the Quran Darul Fattah Boarding School South Lampung. The data collection technique is observation. Data analysis in this study is through data collection, data presentation and drawing conclusions. Results. The result of this research is that the Islamization of science has been implemented in this school which is contained in the curriculum, learning materials, character building outside the classroom and the involvement of student guardians.   Conclusion. The conclusion is that Islamization can be applied in schools and can be integrated with the existing system and in the daily lives of students in this school both related to subjects and norms inside and outside the classroom.
A Comprehensive Review of Cybersecurity Measures in the IoT Era Ezatullah Ahmady; Abdul Rahman Mojadadi; Musawer Hakimi
Journal of Social Science Utilizing Technology Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i1.722

Abstract

Background. This research presents a comprehensive review of cybersecurity measures in the Internet of Things (IoT) era. The primary focus is on elucidating the evolving landscape of IoT cybersecurity, with specific attention to the integration of Artificial Intelligence (AI), machine learning, and risk management. The study aims to identify key advancements, challenges, and opportunities in securing interconnected devices, offering valuable insights for researchers, policymakers, and industry professionals. Purpose. Employing a hybrid methodological design that combines elements from narrative synthesis and heuristic analysis, this study utilizes purposive and snowball sampling techniques to select diverse and pertinent sources. The integration of semantic analysis, leveraging natural language processing algorithms, enriches data interpretation. Collaborative intelligence from cybersecurity, machine learning, and IoT experts enhances the study's perspective. A proprietary algorithm, incorporating machine learning principles, enhances data collection efficiency. Method. The synthesis reveals a dynamic landscape marked by the symbiotic relationship between AI and IoT, fortifying defenses against cyber threats. Machine learning emerges as a potent ally, providing robust solutions for threat detection. The study identifies challenges in implementing cybersecurity measures in the IoT landscape, including data privacy, scalability, and regulatory compliance. Results. In conclusion, the review emphasizes the need for proactive and adaptive security strategies in the IoT era, highlighting the role of AI and collaborative interdisciplinary approaches. The study provides a roadmap for future research, policy formulation, and industry practices to fortify the security posture of the IoT ecosystem. Conclusion. This study has comprehensive review of IoT cybersecurity illuminates a dynamic landscape marked by the symbiotic relationship between Artificial Intelligence (AI) and the Internet of Things (IoT). The integration of AI signifies a paradigm shift towards proactive and adaptive security strategies, enhancing the resilience of IoT ecosystems against evolving cyber threats.
Interpersonal Comunication Model of Teacher in Development Self Relliance of Deaf Students Outside School of the Pembina Aceh Tamiang Afriani Eka Mulyana; Suwardi Lubis; Syukur Kholil
Journal of Social Science Utilizing Technology Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i1.737

Abstract

Background. The learning process at the State School of Builders located in Aceh Tamiang, interpersonal communication is more intense between teachers and students, because one of the learning methods for students with special needs is individualised learning. Purpose. This research aims to analyze how the teacher’s interpersonal communication model develops self relliance for junior high school deaf students at the Pembina Aceh Tamiang State Special School.Not only that, what communication barriers occur and efforts to overcome these communication barriers. Researchers use the interpersonal communication model and symbolic interaction theory from George Herbert Mead. Method. This research uses descriptive research methods with a qualitative approach, with research subjects consisting of 4 middle school level teachers who are deaf. Data collection techniques were semi-structured interviews, passive participant observation, and documentation. Data analysis uses Miles, Huberman and Saldana theoretical techniques, namely data collection, data condensation, data presentation, and conclusion drawing/verification. The data validity technique that researchers use is source triangulation. Results. The results showed that the teacher’s interpersonal communication model in developing students’ self reliance at the Aceh Taming Pembina State Special School uses non-verbal and verbal communication. However, teachers often use non-verbal communication because of students’ limitations in hearing, making teachers and deaf students when interacting more dominantly use non-verbal communication. The effectiveness of teachers’ interpersonal communication with deaf students can be seen through 4 aspects, namely openness, empathy, supportive attitude, and positive attitude. There are 4 factors inhibiting teachers’  interpersonal communication with deaf students in improving the independence attitude of deaf students, namely: physical interference, physiological interference, psychological interference, and semantic interference. Conclusion. The conclusion of this research is that the teacher’s interpersonal communication model in developing student independence at the Tamiang Aceh Pembina State Special School uses non-verbal and verbal forms of communication. The meaning of verbal communication for tunagrahita is a sentence or utterance spoken from the mouth, or called a mouth mimic, while the nonverbal communication they use is called sign language or symbol language.
Use of the Internet of Things (IoT) in the Context of Ubiquitous Learning in Higher Education Rini Nuraini; Baharuddin Baharuddin; Daniar Sofeny; Mariana Diah Pusitasari; Victor Benny Alexsius Pardosi
Journal of Social Science Utilizing Technology Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i1.744

Abstract

Background. The use of the Internet of Things (IoT) in Ubiquitous Learning in higher education is increasingly important along with the development of 21st century internet technology. Reliance on the internet for information creates a new paradigm in learning, where IoT plays a key role supporting an equitable and integrated learning experience. Universities as centers of higher education need to adopt solutions using IoT technology to overcome problems in the context of Ubiquitous Learning. Purpose. The purpose of this research is to identify solutions that can be adopted by universities to overcome Internet of Things problems in the context of Ubiquitous Learning. Method. This research uses a quantitative methodology with a survey method approach. A total of 30 students were randomly selected as samples to provide adequate representation. The data analysis technique uses the Miles Huberman technique, involving the stages of data reduction, data presentation, and drawing conclusions. A questionnaire was developed to explore students’ perceptions and experiences regarding the use of IoT in the learning process. Results. From the analysis results, the majority of students show a good understanding of IoT concepts and are actively involved in learning using this technology. Although some face obstacles, the majority of respondents believe that the use of IoT can increase learning effectiveness and really hope that there will be increased student engagement through IoT technology. These results provide a strong basis for developing better implementation strategies, encouraging universities to continue to innovate in integrating IoT technology to improve student learning experiences in the future.   Conclusion. Universities are advised to continue to innovate, integrating IoT strategically to improve the student learning experience. This shows the significant impact of IoT in designing the future of learning in higher education.

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