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All Journal Journal of Noesantara Islamic Studies Journal of Selvicoltura Asean International Journal of Educatio Elementaria and Psychologia Research Psychologie, Orientation et Conseil Journal of Loomingulisus ja Innovatsioon Techno Agriculturae Studium of Research Journal of Social Entrepreneurship and Creative Technology Journal of Humanities Research Sustainability Journal Markcount Finance Journal Neosantara Hybrid Learning Journal of World Future Medicine, Health and Nursing Pengabdian: Jurnal Abdimas
Napat Chai
Mahidol University
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Environmental Science Law, Crime, Criminology & Criminal Justice Other

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Islamic Political Movements in Indonesia: From Nahdlatul Ulama to Islamist Parties in the Post-Reformasi Era Mursyidin Mursyidin; Chai Pao; Napat Chai
Journal of Noesantara Islamic Studies Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jnis.v2i3.2395

Abstract

The post-Reformasi era in Indonesia since 1998 has witnessed a dynamic resurgence of Islamic politics, featuring a complex landscape of both large moderate civil society organizations and formal Islamist political parties. This study aimed to comparatively analyze the evolution, political strategies, and societal impact of these diverse Islamic movements in Indonesia’s democratic transition. A qualitative research methodology was employed, utilizing a case study approach. Data was gathered through discourse analysis of party manifestos and public statements, as well as in-depth interviews with political and religious leaders. The findings reveal a strategic divergence: Nahdlatul Ulama has largely focused on influencing politics from a civil society perspective, promoting cultural Islam and pluralism. In contrast, Islamist parties have pursued formal state power, often employing identity politics. This has created a continuous negotiation within the public sphere between substantive Islamic values and formalist political agendas. The study concludes that Indonesian Islamic political movements are not monolithic. The enduring influence of moderate mass organizations acts as a crucial counterbalance to the formal political aspirations of Islamist parties, shaping a unique and contested model of Islamic democracy.
ENVIRONMENTAL, SOCIAL, AND GOVERNANCE (ESG) REPORTING: ENHANCING TRANSPARENCY IN SUSTAINABLE FINANCE Getah Ester Hayatullah; Napat Chai; Ming Pong
Journal Markcount Finance Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jmf.v4i1.3362

Abstract

The growing emphasis on sustainability within global financial markets has elevated Environmental, Social, and Governance (ESG) reporting as a central mechanism for enhancing transparency and accountability in sustainable finance. Investors, regulators, and other stakeholders increasingly rely on ESG disclosures to evaluate non-financial risks, long-term value creation, and corporate responsibility. This study aims to analyze the role of ESG reporting in improving transparency and its implications for sustainable finance practices. The research adopts a qualitative analytical approach based on a systematic review of peer-reviewed academic literature, international reporting standards, regulatory frameworks, and secondary data from sustainability reports and financial institutions. The findings indicate that high-quality ESG reporting enhances information transparency, reduces information asymmetry, and strengthens investor confidence by enabling more accurate assessment of corporate sustainability performance. Consistent and standardized ESG disclosures are associated with improved capital allocation efficiency, lower perceived risk, and stronger stakeholder trust. The study concludes that ESG reporting is a critical instrument for advancing sustainable finance, provided it is supported by harmonized standards, robust governance mechanisms, and credible verification processes.  
A CRITICAL EVALUATION OF A GOVERNMENT-SPONSORED HYBRID LEARNING PROGRAM FOR BRIDGING THE DIGITAL DIVIDE IN REMOTE EASTERN INDONESIA Godlif Sianipar; Napat Chai; Pramila Kumari; Sanjay Sharma
Journal Neosantara Hybrid Learning Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jnhl.v3i2.2670

Abstract

The persistent digital divide across Indonesia’s eastern regions poses a major challenge to equitable access to education in the digital era. Despite national efforts to expand online learning infrastructure, disparities in connectivity, digital literacy, and resource availability continue to disadvantage students in remote areas. This study critically evaluates a government-sponsored hybrid learning program implemented in Eastern Indonesia that aimed to bridge this gap by combining online and offline learning modalities. The research investigates the program’s effectiveness in promoting equitable access, improving learning outcomes, and fostering digital inclusion among rural students and educators. A mixed-methods approach was employed, integrating quantitative surveys with 200 students and teachers across five districts and qualitative interviews with local education stakeholders. Quantitative data were analyzed using descriptive and inferential statistics, while qualitative data were examined through thematic analysis to capture contextual insights. The findings indicate that the hybrid learning model significantly improved digital literacy, student engagement, and instructional continuity in areas with limited internet access. However, challenges remained in infrastructure reliability, teacher readiness, and long-term sustainability due to uneven technological support and funding constraints. The study concludes that government-led hybrid learning initiatives can serve as effective transitional strategies for reducing educational inequality when supported by localized training and infrastructure development. It emphasizes the need for participatory policy design that integrates community-based solutions and capacity building to sustain the benefits of hybrid education in remote regions.
AI-Driven Diagnostic Imaging: Enhancing Early Cancer Detection Through Deep Learning Models Danang Ariyanto; Napat Chai; Pong Krit
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i6.2369

Abstract

Early detection is critical for improving cancer survival rates, yet the interpretation of diagnostic images is subject to human error and variability. Artificial intelligence (AI), specifically deep learning, presents a transformative opportunity to enhance diagnostic accuracy and speed. This study aimed to develop and validate a deep learning model to improve the accuracy and efficiency of early-stage cancer detection in radiological images compared to human expert interpretation. A convolutional neural network (CNN) was trained and validated on a curated dataset of over 20,000 mammography images. The model's diagnostic performance was rigorously evaluated using key metrics, including accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC), against a biopsy-verified ground truth. The AI model achieved an overall accuracy of 97.2%, with a sensitivity of 98.1% and a specificity of 96.5%. The model's performance, with an AUC of 0.98, was comparable to that of senior radiologists and significantly reduced false-negative rates. AI-driven deep learning models are highly effective and reliable tools for augmenting diagnostic imaging. They can significantly enhance early cancer detection, reduce diagnostic errors, and serve as a powerful assistive tool for radiologists in clinical practice.
Bridging the Digital Divide: Community-Based Digital Innovation for Inclusive Socioeconomic Development Napat Chai; Aom Thai; Pong Krit; Ma’rifani Fitri
Pengabdian: Jurnal Abdimas Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/abdimas.v4i1.3418

Abstract

Digital transformation has accelerated economic growth and social connectivity, yet persistent digital inequalities continue to marginalize vulnerable communities from meaningful participation in the digital economy. Access to infrastructure alone has proven insufficient to ensure inclusive socioeconomic development, as disparities in digital literacy, institutional support, and local innovation capacity remain significant barriers. This study aims to examine how community-based digital innovation initiatives contribute to bridging the digital divide and promoting inclusive socioeconomic outcomes. A mixed-methods, multi-site comparative design was employed involving 180 participants across three underserved regions. Quantitative data were collected through digital literacy assessments and socioeconomic surveys, while qualitative insights were obtained through interviews, focus groups, and field observations. Inferential statistical analyses revealed significant improvements in digital literacy, income levels, employment stability, and entrepreneurial engagement (p < 0.001). Regression results indicated that digital literacy gains significantly predicted income growth, while qualitative findings highlighted the mediating role of participatory governance and social capital. The study concludes that community-based digital innovation serves as an effective structural mechanism for translating digital access into sustainable economic empowerment. Integrating grassroots capacity-building with digital infrastructure investment is essential for achieving equitable and resilient socioeconomic development in digitally evolving societies.
Co-Authors Abdullah Abdullah Ahmad Farrudin Andi Hamsiah Aom Thai Chai Pao Clara Mendes Danang Ariyanto Fadi Al-Taani Fernandez, Fransisca Debby Christine Firda Weri Getah Ester Hayatullah Godlif Sianipar Hary Murcahyanto Imam Aulia Rahman Jamil Khan khoiriyah khoiriyah Marcus Tan Mas'ud Muhammadiah Ma’rifani Fitri Ming Pong Mitra Musika Lubis Mursyidin Mursyidin Nofirman, Nofirman Nong Chai Pong Krit Pramila Kumari Rit Som Rukiyanto Rukiyanto, Rukiyanto Sandy Tya Sanjay Sharma Siri Lek Thiago Rocha Ton Kiat Wijaya Wijaya