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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
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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Suspension Bridge Simulation Modeling in Overcoming Seismic Loads Pong Krit; Rit Som; Som Chai
Journal of Moeslim Research Technik Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v1i5.1559

Abstract

The increasing frequency of seismic events poses significant challenges to the structural integrity of suspension bridges. Understanding how these structures respond to seismic loads is essential for ensuring their safety and performance. Effective modeling and simulation techniques can provide valuable insights into the behavior of suspension bridges under such conditions. This study aims to develop a simulation model for suspension bridges to assess their performance under seismic loading. The research seeks to identify critical factors influencing the bridge's response and propose design modifications to enhance resilience against earthquakes. A finite element analysis (FEA) approach was employed to create a detailed simulation model of a suspension bridge. Various seismic scenarios were simulated using different ground motion records. Key parameters, including displacement, stress, and dynamic response, were monitored and analyzed to evaluate the bridge's behavior. The simulation results indicated that the suspension bridge exhibited significant displacement under seismic loads, particularly at the midspan. Stress concentrations were observed at critical joints and cables, highlighting potential failure points. Design modifications, such as increased cable tension and enhanced damping systems, were proposed to improve the bridge's seismic performance. The research concludes that simulation modeling is a valuable tool for understanding the seismic response of suspension bridges. The findings emphasize the importance of incorporating seismic considerations into the design process. Future research should focus on validating the simulation results with experimental data and exploring advanced materials and technologies to further enhance bridge resilience.
Forest Restoration and Rehabilitation: A Comparative Analysis of Techniques Pong Krit; Napat Chai; Ton Kiat
Journal of Selvicoltura Asean Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v1i3.1661

Abstract

Forest ecosystems are essential for biodiversity, climate regulation, and human well-being. However, deforestation and degradation threaten these vital resources, necessitating effective restoration and rehabilitation techniques. Understanding the strengths and weaknesses of various methods is crucial for improving restoration outcomes. This study aims to conduct a comparative analysis of different forest restoration and rehabilitation techniques. The objectives include evaluating their ecological effectiveness, cost-efficiency, and suitability for diverse ecological contexts. A systematic literature review was conducted, analyzing peer-reviewed articles, case studies, and reports related to various restoration techniques. Key techniques examined included natural regeneration, reforestation, afforestation, and assisted natural regeneration. Data were synthesized to highlight the comparative advantages and challenges of each method. Findings indicate that natural regeneration often yields the highest ecological success, particularly in undisturbed areas. Reforestation and afforestation techniques showed varying success rates based on species selection and site conditions. Assisted natural regeneration emerged as a cost-effective approach, promoting biodiversity while minimizing intervention. This analysis concludes that no single technique is universally applicable. Effective forest restoration requires tailored approaches that consider local ecological conditions and socio-economic factors. Policymakers and practitioners should prioritize collaborative strategies that integrate multiple techniques to enhance restoration success and ecological resilience.
The Impact of Growth Mindset Interventions on Student Achievement Pong Krit; Ming Pong; Vicheka Rith; Suyitno Suyitno
Research Psychologie, Orientation et Conseil Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v2i3.2375

Abstract

A student’s underlying beliefs about intelligence whether it is a fixed trait or can be developed (a “mindset”) is a powerful predictor of academic resilience and achievement. Fostering a growth mindset, the belief that intelligence is malleable, has been identified as a critical target for educational interventions aimed at improving student success. This study aimed to quantitatively evaluate the impact of a targeted, school-based growth mindset intervention on the academic achievement and perseverance of middle school students in a challenging subject. A quasi-experimental, pre-test/post-test study was conducted with 250 8th-grade students. The intervention group (n=125) participated in six workshops focused on neuroplasticity and growth mindset principles. The control group (n=125) received standard study skills training. Academic achievement was measured by mathematics grades and standardized test scores. The intervention group demonstrated a statistically significant improvement in their mathematics grades (p < .01) and reported higher levels of academic perseverance compared to the control group. The control group showed no significant change in either measure over the same period. Targeted, low-cost growth mindset interventions are an effective strategy for improving student academic achievement. Fostering the belief that intellectual abilities can be developed through effort is a powerful pedagogical tool for enhancing student success and resilience.  
A Neurocognitive Approach to Early Reading Intervention for Elementary School Children with Dyslexia Yulian Purnama; Pong Krit; Ton Kiat
Research Psychologie, Orientation et Conseil Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v2i4.2525

Abstract

Early reading difficulties, particularly dyslexia, pose significant challenges for elementary school children, affecting academic achievement and long-term literacy development. Neurocognitive research suggests that deficits in phonological processing, working memory, and rapid automatized naming are core contributors to reading impairments. Understanding these underlying cognitive mechanisms is crucial for designing effective early reading interventions that target both skill acquisition and brain-based processing. This study aims to investigate the efficacy of a neurocognitive-based early reading intervention for children with dyslexia, focusing on improvements in reading fluency, decoding accuracy, and phonological awareness. A quasi-experimental design was employed with 60 elementary school participants diagnosed with dyslexia, divided into intervention and control groups. Standardized neurocognitive assessments and reading tests were administered pre- and post-intervention. Results indicated that children receiving the neurocognitive intervention demonstrated significant gains in decoding accuracy, reading fluency, and phonological awareness compared to the control group. The study concludes that interventions informed by neurocognitive principles can effectively enhance reading outcomes for children with dyslexia, providing both practical and theoretical insights into tailored literacy instruction.  
The influence of inquiry-based learning on high school students’ critical and creative thinking skills Pong Krit; Rit Som; Som Chai
Journal of Loomingulisus ja Innovatsioon Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v1i4.1706

Abstract

The ability to think critically and creatively is essential for students to succeed in a rapidly changing world. Traditional teaching methods often fail to develop these skills in students. Inquiry-Based Learning (IBL), which encourages students to explore questions and seek solutions independently, is proposed as an effective approach to enhancing critical and creative thinking. Despite its potential, limited research exists on the impact of IBL on these skills in high school settings, particularly in non-Western educational contexts. This study aims to investigate the influence of Inquiry-Based Learning on high school students’ critical and creative thinking skills in a classroom setting. A quasi-experimental design was used, involving 120 high school students from two different schools. One group received IBL-based instruction, while the other group followed traditional teaching methods. Data were collected using pre- and post-assessments of critical and creative thinking skills, along with student surveys and classroom observations. The results revealed that students in the IBL group showed significant improvements in both critical and creative thinking skills compared to the control group. Analysis indicated that IBL encouraged greater student engagement, problem-solving, and innovative thinking. The study suggests that Inquiry-Based Learning is a promising method for enhancing high school students’ critical and creative thinking skills, offering valuable implications for educational practices.
Case Study: Successful Design of Local Products that Go International Alaa Chahine; Nina Anis; pong Krit
Journal of Loomingulisus ja Innovatsioon Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v3i1.1985

Abstract

This case study explores the successful design of local products that have achieved international recognition. In a globalized economy, many local products face significant challenges in entering international markets, often requiring strategic design innovation to compete. The importance of culturally relevant, functional, and aesthetically appealing designs has become essential for products aiming for international expansion. This research aims to identify the key factors that contribute to the success of local products in gaining international market share through effective product design. The objective of the study is to examine the role of product design in overcoming the barriers faced by local products in global markets, focusing on case studies of brands that have successfully navigated this process. The research employs a qualitative case study methodology, analyzing in-depth interviews with designers, product managers, and international marketing experts, as well as reviewing secondary data from product sales and market reports. The findings reveal that successful local products incorporated unique design elements that resonated with global consumer preferences while retaining local cultural identity. Moreover, product functionality and adaptability to different market needs were crucial in facilitating international success. Strategic marketing and branding also played significant roles in enhancing the global appeal of these products. In conclusion, local products that successfully transition to international markets do so by aligning their design with global trends while maintaining authenticity. This case study offers valuable insights for businesses seeking to expand their product designs beyond local borders.
GENERATIVE AI FOR CONTENT CREATION IN EDUCATION: TAILORING LEARNING MATERIALS TO INDIVIDUAL NEEDS Roni Subhan; Syarifatul Hayati Zarfi; Pong Krit
Al-Hijr: Journal of Adulearn World Vol. 5 No. 3 (2026)
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.v5i3.1315

Abstract

Growing diversity in learner characteristics, educational backgrounds, cognitive abilities, and learning preferences has increased the demand for adaptive instructional materials capable of supporting personalized learning experiences. Rapid advances in Generative Artificial Intelligence (Generative AI) provide new opportunities to automate educational content creation while tailoring learning resources to individual learner needs, although questions concerning instructional quality, pedagogical effectiveness, and responsible implementation remain unresolved. This study aimed to examine the effectiveness of Generative AI for developing personalized educational content and to evaluate its contribution to teaching and learning within higher education. A mixed-methods sequential explanatory design was employed, integrating quantitative evidence from learning analytics, standardized academic assessments, instructional quality measures, and technology acceptance surveys with qualitative data collected through interviews, classroom observations, reflective journals, and instructional document analysis. Findings revealed that AI-generated personalized learning materials significantly improved academic achievement, learner engagement, creativity, self-regulated learning, instructional quality, learning satisfaction, and course completion when supported by educator supervision and curriculum alignment. Qualitative evidence further demonstrated that adaptive content generation strengthened learner autonomy, instructional flexibility, and educational accessibility while emphasizing the continuing importance of human judgment, ethical oversight, and pedagogical expertise. Results indicate that Generative AI functions most effectively as a collaborative instructional design partner rather than a replacement for educators. Human-centered implementation supported by responsible governance and evidence-based instructional design provides a sustainable pathway for advancing personalized education across diverse learning environments.
FUTURE DATA CENTERS: LIQUID IMMERSION COOLING INNOVATION TO WITHSTAND AI HEAT Aom Thai; Pong Krit; Siri Lek
Journal of Computer Science Advancements Vol. 3 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i4.3333

Abstract

The exponential escalation of computational density required by modern Artificial Intelligence (AI) and Large Language Models has pushed traditional air-cooled data center infrastructures to their thermodynamic limits. This study investigates the efficacy of single-phase liquid immersion cooling as a transformative solution to manage the extreme thermal flux of next-generation AI accelerators. Adopting a quantitative experimental design, we benchmarked a high-density GPU cluster submerged in a proprietary dielectric fluid against a standard forced-air baseline under intensive MLPerf training workloads. The research focused on evaluating key performance indicators, including Power Usage Effectiveness (PUE), processor junction temperatures, and total energy consumption over a 168-hour stress test. Results demonstrate that the immersion architecture achieved a near-ideal PUE of 1.04, representing a 34% efficiency improvement over the air-cooled control group. Furthermore, the liquid medium maintained GPU core temperatures 20°C lower than the baseline, effectively eliminating thermal throttling events and enhancing computational stability. The study concludes that shifting from aerodynamic to hydrodynamic cooling is not merely an efficiency upgrade but a physical prerequisite for the sustainable scaling of exascale AI infrastructure, offering a viable pathway to decarbonize the expanding digital economy.
EVALUATE THE EFFECTIVENESS OF RNAI-BASED NANOPARTICLES AS THERAPY FOR PANCREATIC CANCER Dito Anurogo; Pong Krit; Siri Lek
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i1.2019

Abstract

Pancreatic cancer is one of the most lethal cancers with limited effective treatment options. RNA interference (RNAi) offers a promising therapeutic approach, but efficient delivery systems are essential. To evaluate the effectiveness of RNAi-based nanoparticles as a therapy for pancreatic cancer, focusing on tumor inhibition and cell viability. A comprehensive study combining in vitro, in vivo, and clinical approaches was conducted. Pancreatic cancer cell lines (PANC-1, BxPC-3, AsPC-1) and mouse models with human pancreatic tumors were treated with RNAi-based nanoparticles. Characterization of nanoparticles included size, charge, and stability assessments using DLS and HPLC. RNAi-based nanoparticles inhibited tumor growth by 70% in mouse models and reduced cell viability by 60% in vitro. Nanoparticles demonstrated high stability and effective internalization into cancer cells, leading to significant gene silencing and apoptotic effects. RNAi-based nanoparticles show significant potential as an effective therapy for pancreatic cancer, demonstrating substantial tumor inhibition and cell viability reduction. Further clinical trials are necessary to confirm these findings and optimize nanoparticle formulations.
CREATIVE BUSINESS INNOVATION ANALYZING THE GIG ECONOMY’S IMPACT ON THE LIVELIHOODS OF CREATIVE-PRENEURS IN SOUTHEAST ASIA Pong Krit; Marcus Tan; Rachel Chan
Journal of Social Entrepreneurship and Creative Technology Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v3i1.2953

Abstract

This study investigates the impact of the gig economy on the livelihoods of creative-preneurs in Southeast Asia, with a focus on income stability, creative autonomy, and business sustainability. The research aims to analyze both the opportunities and structural challenges faced by creative-preneurs operating through digital platforms. A mixed-methods approach was employed, combining a quantitative survey of 100 creative-preneurs across multiple Southeast Asian countries with in-depth semi-structured interviews involving 20 selected participants. Quantitative data were analyzed using statistical correlation and regression techniques, while qualitative data were examined through thematic analysis. The findings reveal that while 72% of respondents experience significant income fluctuations and 65% report decreased job security, a majority benefit from increased creative autonomy and business growth. A significant positive relationship was found between creative autonomy and business expansion, whereas income instability negatively affected job satisfaction and career sustainability. The novelty of this research lies in its sector-specific and regional focus, addressing a gap in existing gig economy studies that largely overlook creative industries in Southeast Asia. The implications of this study extend beyond socio-economic analysis, contributing conceptually to physics-related modeling of complex systems and uncertainty, as well as to physics education by offering real-world contextual applications for data analysis, system dynamics, and interdisciplinary problem-solving within STEM-based learning frameworks.
Co-Authors Alaa Chahine Aom Thai Dito Anurogo Marcus Tan Ming Pong Napat Chai Nina Anis Rachel Chan Rit Som Roni Subhan Siri Lek Som Chai Suyitno Suyitno Syarifatul Hayati Zarfi Ton Kiat Vicheka Rith Yulian Purnama