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All Journal Al-Hijr: Journal of Adulearn World Journal of Computer Science Advancements Journal of Moeslim Research Technik Journal of Selvicoltura Asean Research Psychologie, Orientation et Conseil Journal of Loomingulisus ja Innovatsioon Journal of Biomedical and Techno Nanomaterials Journal of Social Entrepreneurship and Creative Technology Journal of Paddisengeng Technology Journal of World Future Medicine, Health and Nursing Pengabdian: Jurnal Abdimas Journal Emerging Technologies in Education Rechtsnormen: Journal of Law
Pong Krit
Rangsit University
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Other

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Revolutionizing Feedback: Integrating AI-Powered Voice Assistants in Digital Learning Platforms for Instant Student Support Fiqih Ananda; Zain Nizam; Pong Krit
Journal of Paddisengeng Technology Vol. 1 No. 2 (2025)
Publisher : PT. Sinergi Bersahaja Sejahtera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65224/jopate.v1i2.192

Abstract

Background. The increasing use of digital learning platforms has highlighted the need for effective and immediate feedback mechanisms. Traditional feedback approaches often suffer from delays and limited personalization, which can hinder students’ learning progress. Artificial Intelligence (AI)-powered voice assistants present a promising solution by offering instant, adaptive, and interactive feedback in real time. Purpose. This study aimed to explore the integration of AI-powered voice assistants into digital learning platforms, focusing on their effectiveness in delivering instant student support. Specifically, it examined how such integration impacts students’ learning engagement, perceived usefulness, and satisfaction. Method. A mixed-method approach was employed, involving a survey of 312 university students across three digital learning environments and in-depth interviews with instructors. Quantitative data were analyzed using statistical techniques, while qualitative data provided deeper insights into user experiences. Results. Findings indicate that AI-powered voice assistants significantly enhance students’ perception of feedback immediacy, personalization, and accessibility. Students reported higher motivation and engagement when receiving real-time oral feedback, while instructors emphasized the potential of voice assistants to reduce workload and improve learning efficiency. However, challenges such as speech recognition accuracy and contextual limitations were also noted. Conclusion. The study underscores the transformative role of AI-powered voice assistants in revolutionizing digital feedback systems. Integrating such technology into digital learning platforms has the potential to support more personalized, efficient, and engaging learning experiences. Future implementations should focus on improving natural language processing accuracy and aligning feedback strategies with diverse learning contexts.
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.
Tele-Nursing in Post-Operative Care: Expanding Accessibility and Reducing Readmission Ratesh Catur Budi Susilo; Siri Lek; Pong Krit
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i5.2518

Abstract

Post-operative care is critical for ensuring optimal recovery, preventing complications, and reducing hospital readmission rates. Traditional follow up methods often face limitations, including geographic barriers, limited access to healthcare providers, and resource constraints, which can compromise patient outcomes. Tele-nursing offers a promising solution by delivering remote monitoring, education, and guidance, thereby enhancing accessibility and supporting continuity of care. This study investigates the effectiveness of tele-nursing interventions in post-operative care, focusing on patient outcomes, adherence to care protocols, and readmission rates. A mixed-methods approach was employed, integrating quantitative analysis of clinical metrics and readmission data with qualitative assessments of patient and nurse experiences. Data were collected from 180 post-operative patients across multiple surgical departments who received tele-nursing support over a 90 day period. Results indicated that tele-nursing significantly reduced 30 day readmission rates, improved adherence to post-operative care instructions, and increased patient satisfaction. Nurses reported enhanced ability to monitor patient recovery, provide timely interventions, and offer personalized education remotely. The study concludes that tele-nursing is an effective strategy to expand access to post-operative care, improve patient outcomes, and reduce healthcare system burden.
Empowring Farmer Cooperatives Through Sustainable Cacai Fermentation And Processing Training In Central Sulawesi Muh Nur; Pong Krit; Siri Lek
Pengabdian: Jurnal Abdimas Vol. 3 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/abdimas.v3i4.3298

Abstract

Background. Smallholder cocoa farmers in Central Sulawesi continue to face persistent challenges related to low product quality, weak post-harvest management, and limited value addition, which collectively reduce their competitiveness in both domestic and international markets. One critical bottleneck lies in inadequate fermentation and processing practices at the cooperative level. Purpose. This study aims to empower farmer cooperatives through sustainable cocoa fermentation and processing training to improve product quality, institutional capacity, and farmers’ economic resilience. Method. The research employed a participatory action research approach, integrating training workshops, hands-on demonstrations, mentoring, and pre–post evaluations involving members of selected farmer cooperatives. Data were collected through observations, interviews, focus group discussions, and quality assessment of fermented cocoa beans. Results. The results indicate significant improvements in farmers’ knowledge and skills related to standardized fermentation techniques, hygiene, and post-harvest handling. Cooperatives demonstrated enhanced consistency in fermentation quality, improved bean aroma and appearance, and increased awareness of sustainability principles. Moreover, institutional strengthening was observed through better collective management and decision-making within cooperatives. Conclusion. In conclusion, sustainable fermentation and processing training effectively empowers farmer cooperatives by improving cocoa quality and reinforcing cooperative capacity, thereby contributing to higher market value and long-term livelihood sustainability for cocoa farmers in Central Sulawesi.
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.
Digital Narratives as Emotional Scaffolds: A Case Study of Student-Generated Stories in Thai ESL Classrooms Pong Krit; Rit Som; Siri Lek
Journal Emerging Technologies in Education Vol. 3 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v3i5.2237

Abstract

Background. The increasing integration of digital storytelling in English as a Second Language (ESL) education highlights its potential not only for linguistic development but also for emotional expression among learners. Purpose. This study investigates how digital narratives created by Thai ESL students function as emotional scaffolds in language learning environments. The research aims to explore the affective dimensions of student-generated digital stories, specifically how these narratives foster emotional engagement, self-expression, and learner identity in the ESL classroom. Method. Using a qualitative case study approach, data were collected through interviews, classroom observations, and content analysis of student projects. Results. Findings indicate that digital storytelling enabled students to externalize personal experiences, reduce language anxiety, and build emotional connections with the learning content. Furthermore, the process encouraged collaborative dialogue and empathy among peers. Conclusion. The study concludes that digital narratives serve as both pedagogical and emotional tools, bridging language skills with psychological well-being. Implications suggest that ESL educators should intentionally design digital storytelling tasks to support students' emotional development alongside language proficiency.
Cybersecurity Laws: Protecting Personal Data in the Age of Digital Transformation Syamsul Bahri; Pong Krit; Siri Lek
Rechtsnormen: Journal of Law Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v4i2.3660

Abstract

Background. The rapid acceleration of global digital transformation has fundamentally reorganized the socio-economic landscape, rendering personal data highly vulnerable to sophisticated cyber threats and systemic exploitation. Purpose. This research aims to critically evaluate the efficacy of contemporary cybersecurity laws in safeguarding individual privacy amidst this hyper-connected environment. Method. The investigation adopts a qualitative legal research design, utilizing a comparative analysis of data protection regimes across diverse jurisdictions through a specialized techno-legal analytical framework. Results. Findings indicate a significant regulatory disclosure paradox, where stringent legislation increases transparency and reporting rates without immediately reducing the absolute frequency of data breaches. The data suggests that technical alignment within statutory language is more critical for legal efficiency than the severity of financial penalties. This study concludes that the future of data sovereignty depends on the seamless integration of legal principles into the software development lifecycle. Conclusion. Legislators must move toward agile, principle-based frameworks that account for the borderless nature of digital networks and emerging technological complexities. Robust legal infrastructures are essential not only for privacy but as a primary pillar of national economic security and public trust.
THE EFFECTIVENESS OF ONLINE CLINICAL PSYCHOLOGICAL INTERVENTIONS FOR ANXIETY DISORDERS Moh Solehuddin; Nong Chai; Pong Krit
Research Psychologie, Orientation et Conseil Vol. 3 No. 4 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v3i4.4280

Abstract

Anxiety disorders are among the most prevalent mental health conditions worldwide, significantly impacting individuals' quality of life. Traditional face-to-face therapeutic interventions have proven effective in treating anxiety, but the accessibility and convenience of online clinical psychological interventions are becoming increasingly relevant. With the rise of digital mental health platforms, it is essential to evaluate the effectiveness of these interventions in treating anxiety disorders. This study aims to assess the effectiveness of online clinical psychological interventions for anxiety disorders by comparing outcomes in terms of symptom reduction, treatment adherence, and overall patient satisfaction. A systematic review and meta-analysis were conducted, synthesizing data from 25 randomized controlled trials (RCTs) involving over 1,500 participants. The studies examined various online interventions, including internet-based Cognitive Behavioral Therapy (iCBT), virtual counseling, and digital self-help programs, with a focus on anxiety symptom severity pre- and post-treatment. The analysis showed a significant reduction in anxiety symptoms among participants receiving online interventions, with a moderate effect size (Cohen’s d = 0.55). Internet-based CBT demonstrated the highest efficacy, followed by virtual counseling and self-help programs. High treatment adherence and positive patient satisfaction were also reported. Online clinical psychological interventions, particularly internet-based CBT, are effective in reducing anxiety symptoms.
Co-Authors Alaa Chahine Aom Thai Catur Budi Susilo Danang Ariyanto Dito Anurogo Fiqih Ananda Marcus Tan Ma’rifani Fitri Ming Pong Moh Solehuddin Muh. Nur Napat Chai Nina Anis Nong Chai Rachel Chan Rit Som Roni Subhan Siri Lek Som Chai Suyitno Suyitno Syamsul Bahri Syarifatul Hayati Zarfi Ton Kiat Vicheka Rith Yulian Purnama Zain Nizam