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Application of K-Means Clustering Algorithm to Obtain Recommendations for Strategies to Increase the Number of Students in the Information Systems Study Program at ITB Ahmad Dahlan Jakarta Diana Yusuf; Xie Guilin; Deng Jiao
Journal of Computer Science Advancements Vol. 1 No. 4 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v1i4.581

Abstract

The rapid development of technology today has almost touched all sectors of life such as the economy, health and education. The technology currently used produces a lot of data every day, one of which is in the field of education. Data mining is a group of methods used to investigate and reveal complex relationships in very large data sets. Data here means information organized in a tabular format, as is often used in relational database management. This research uses data from the academic section of ITB Ahmad Dahlan, namely data on students of the Information Systems study program from 2019 to 2022. The attributes that will be used for this research are student gender, student employment status and student achievement index.  Recommendations for promotional strategies to increase the number of new students are to conduct visits to high schools or vocational schools. Not only that, the new student admission team can also promote to companies or offices.
The Role of Augmented Reality in Enhancing Social Business Models: a Pathway to Sustainable Development Xie Guilin; Deng Jiao; Yuanyuan Wang
Journal of Social Entrepreneurship and Creative Technology Vol. 1 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v1i1.1003

Abstract

Augmented reality (AR) technology has emerged as a powerful tool in various sectors, offering innovative solutions that enhance user engagement and experience. In the context of social business models, AR has the potential to drive sustainable development by addressing key social and environmental challenges. Despite its growing popularity, the role of AR in enhancing social business models remains underexplored. This research aims to investigate the impact of augmented reality on social business models and its potential to contribute to sustainable development. The study seeks to identify how AR can be integrated into social enterprises to enhance their effectiveness and sustainability. The research employs a mixed-methods approach, combining quantitative surveys and qualitative case studies. A survey was conducted with 150 social entrepreneurs to gather data on the use of AR and its perceived impact. Additionally, five in-depth case studies of social enterprises utilizing AR were conducted to provide detailed insights into implementation strategies and outcomes. The findings indicate that AR significantly enhances the effectiveness of social business models by improving user engagement, education, and operational efficiency. Social enterprises using AR reported higher levels of community engagement and greater impact on their social and environmental goals. The case studies revealed successful strategies for integrating AR, such as interactive educational content and immersive storytelling, which contributed to achieving sustainable development outcomes. The study concludes that augmented reality holds substantial potential for enhancing social business models and promoting sustainable development. By leveraging AR technology, social enterprises can create more engaging and impactful solutions to address social and environmental challenges. Continued research and investment in AR applications within the social enterprise sector are recommended to fully realize its potential.