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All Journal Al-Hijr: Journal of Adulearn World Journal International Dakwah and Communication Darussalam: Journal of Psychology and Educational
Tu, Nguyen Minh
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Computer Science & IT Education Languange, Linguistic, Communication & Media Social Sciences Other

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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

Abstract

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

Abstract

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.
Islam Nusantara and Non-Western Psychological Resilience: Lessons from Indonesian Boarding School (Pesantren) Culture Furqon, Mohamad; Ayungtyas, Ira Palupi; Arifiani, Rina; Minho, Kim; Tu, Nguyen Minh
Darussalam: Journal of Psychology and Educational Vol. 4 No. 2 (2025)
Publisher : Yayasan Minang Darussalam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70363/djpe.v4i2.340

Abstract

This article explores the relationship between Islam Nusantara and non-Western psychological resilience, focusing on the traditions developed in Indonesian boarding schools (pesantren). In a global context often influenced by Western psychological paradigms, Indonesia presents a unique approach to building psychological resilience through religious teachings and practices deeply rooted in local culture. This study identifies how pesantren, as traditional Islamic educational institutions, play a significant role in shaping individual and community resilience through the teaching of spiritual, social, and cultural values derived from Islam Nusantara. Using a qualitative approach, this study analyzes pesantren practices that promote mental resilience, such as the cultivation of strong faith, the strengthening of social bonds, and role-model-based learning. The findings suggest that pesantren offers a model of psychological resilience that integrates local wisdom with Islamic teachings, distinguishing it from Western psychological approaches that focus more on the individual. This article also emphasizes the importance of recognizing non-Western psychological approaches in promoting mental well-being, particularly within Muslim communities in Indonesia.
Co-Authors Arifiani, Rina Ayungtyas, Ira Palupi Furqon, Mohamad Khan, Mariam Lan, Tran Thi Minho, Kim Nam, Le Hoang Ngr. Putu Raka Novandra Asta Nurunnisa Mutmainna Sahirin, Rohmat Tu, Bui Minh