Garuda - Garba Rujukan Digital

Interactive Digital Art Exhibitions: Enhancing Public Engagement Through Technology in Fine Arts Asta, Ngr. Putu Raka Novandra; Sahirin, Rohmat; Khan, Mariam; Tu, Nguyen Minh
Journal of Social Science Utilizing Technology Vol. 2 No. 4 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

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

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.

Interactive Digital Art Exhibitions: Enhancing Public Engagement Through Technology in Fine Arts Asta, Ngr. Putu Raka Novandra; Sahirin, Rohmat; Khan, Mariam; Tu, Nguyen Minh
Journal of Social Science Utilizing Technology Vol. 2 No. 4 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

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

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.

Da’wah Management Strategy on Social Media to Attract the Millennial Generation Mutmainna, Nurunnisa; Tu, Nguyen Minh; Lan, Tran Thi
Journal International Dakwah and Communication Vol. 4 No. 2 (2024)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jidc.v4i2.772

The millennial generation’s engagement with social media has significantly influenced the dissemination of religious content, including Islamic da’wah. Traditional da’wah methods relying on in-person gatherings and textual resources face challenges in reaching a digitally connected audience. Social media platforms provide an opportunity for da’wah practitioners to engage millennials through interactive, visually appealing, and accessible content. Understanding effective da’wah management strategies on social media is crucial for optimizing digital Islamic outreach. This study aims to explore effective strategies for managing da’wah content on social media to attract and engage the millennial generation. A qualitative research design is employed, incorporating content analysis of social media da’wah campaigns, interviews with digital da’wah practitioners, and audience engagement metrics. Findings reveal that short-form video content, storytelling techniques, and interactive discussions significantly enhance engagement among millennials. Social media algorithms prioritize content that encourages interaction, requiring da’wah initiatives to integrate consistent posting schedules, audience feedback mechanisms, and visually engaging formats. The study concludes that effective da’wah management on social media necessitates a balance between religious authenticity and digital communication trends.

Development of Automatic Assessment System Based on Machine Learning for Student Learning Evaluation Tu, Bui Minh; Tu, Nguyen Minh; Nam, Le Hoang
Al-Hijr: Journal of Adulearn World Vol. 3 No. 4 (2024)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/alhijr.v3i4.856

The rapid advancement of machine learning (ML) has significantly impacted educational technologies, particularly in the area of student assessment. Traditional assessment methods often require substantial time and resources, and may not provide immediate or personalized feedback. An automatic assessment system based on machine learning can offer an efficient solution by automating the evaluation process and providing real-time, data-driven insights into student performance. This study explores the development of an automatic assessment system using machine learning algorithms to evaluate student learning and provide personalized feedback in real-time. A mixed-methods approach was used in this research, combining the design and development of the system with quantitative analysis of its effectiveness. The system was tested on 300 students across different academic disciplines, and data was collected from their interactions with the assessment system. Machine learning algorithms, including natural language processing and classification models, were employed to analyze student responses and generate feedback. The results indicate that the machine learning-based system significantly improved the speed and accuracy of student assessments, providing personalized feedback that helped students identify areas for improvement. The system also reduced the administrative burden on educators. This study concludes that machine learning-based automatic assessment systems are a valuable tool for enhancing the learning evaluation process, offering immediate, scalable, and personalized feedback to students.

Critical Review of the Meaning of the Concept of Love Aji, Wahyu Trisno; Santos, Luis; Tu, Nguyen Minh
International Journal of Educatio Elementaria and Psychologia Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijeep.v1i5.1259

The purpose of this research is to explain how the concept of love is interpreted, love is a mystery that is always hot to discuss, and even love has existed since the first humans, namely Adam and Eve. This type of research uses descriptive qualitative, using a library research approach with documentation data collection techniques. The research results obtained are: 1) Understanding love is not only about having feelings or fighting for them, but also about having emotional readiness to face negative consequences, such as heartbreak. Practicing self-defense in love, such as through self-dichotomy and an antifanatic attitude towards falling in love, can help a person face love more calmly and wisely. 2) True love certainly exists, at least he understands self-maturation and is aware of the importance of understanding love. When they grow and develop into people full of art. That's when they understand love as eros, agape and selfssness. Love can be studied, understood, worked for and fought for even though it is without reason and full of sacrifice.

The Application of Artificial Intelligence in Quantum Mechanics: Challenges and Opportunities Tu, Nguyen Minh; Lan, Tran Thi; Vandika, Arnes Yuli
Research of Scientia Naturalis Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v1i6.1583

The intersection of artificial intelligence (AI) and quantum mechanics represents a frontier of scientific exploration, offering the potential to revolutionize our understanding of quantum systems. Despite the promise, significant challenges remain in effectively integrating AI techniques within quantum mechanics frameworks. This study aims to investigate the applications of AI in quantum mechanics, identifying both the challenges and opportunities presented by this interdisciplinary approach. The focus is on understanding how AI can enhance quantum simulations, optimize computations, and improve experimental designs. A comprehensive literature review was conducted, analyzing recent advancements in AI algorithms applied to quantum mechanics. Case studies were examined to illustrate successful implementations and the limitations encountered. Key metrics for evaluation included computational efficiency, accuracy, and scalability. Findings indicate that AI techniques, particularly machine learning and neural networks, can significantly expedite quantum simulations and enhance predictive accuracy. However, challenges such as data sparsity, interpretability of AI models, and the integration of AI with quantum algorithms were identified as significant barriers to progress. This research highlights the transformative potential of AI in advancing quantum mechanics while acknowledging the inherent challenges. Addressing these challenges will require collaborative efforts across disciplines, paving the way for innovative solutions that leverage AI to deepen our understanding of quantum phenomena and improve technological applications.

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