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All Journal Journal International Inspire Education Technology (JIIET) Journal of World Future Medicine, Health and Nursing 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
Krit, Pong
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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The Role of Interactive Technologies in Open Distance Learning Pandansari, Purwosiwi; Lek, Siri; Krit, Pong
Journal International Inspire Education Technology Vol. 3 No. 3 (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/jiiet.v3i3.726

Abstract

The expansion of Open Distance Learning (ODL) in recent years has highlighted the need for interactive technologies that support student engagement, knowledge retention, and personalized learning. As ODL environments often lack face-to-face interaction, interactive technologies like virtual classrooms, discussion forums, and gamified learning tools play a critical role in creating immersive learning experiences. This research aims to explore the impact of interactive technologies on student outcomes in ODL, focusing on engagement, satisfaction, and academic performance. A mixed-methods approach was used, combining quantitative surveys with qualitative interviews to capture students’ experiences with interactive tools in ODL. Data was collected from a diverse sample of students enrolled in online programs, and statistical analysis was applied to measure correlations between interactive technology usage and learning outcomes. The qualitative data provided insights into student perspectives on the benefits and challenges of using interactive tools. Findings indicate that students who actively engage with interactive technologies report higher levels of motivation and satisfaction compared to those who rely solely on traditional online resources. Interactive tools also appear to facilitate better knowledge retention and a sense of community among distance learners. However, challenges such as accessibility and technological support remain barriers to effective usage. The study concludes that interactive technologies enhance the ODL experience by promoting active learning and improving overall educational outcomes. Further research is recommended to explore scalable solutions for integrating these tools, particularly in under-resourced settings, to ensure equitable access for all students.
AI-Driven Diagnostic Imaging: Enhancing Early Cancer Detection through Deep Learning Models Ariyanto, Danang; Chai, Napat; Krit, Pong
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i3.2369

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.
Suspension Bridge Simulation Modeling in Overcoming Seismic Loads Krit, Pong; Som, Rit; Chai, Som
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 Krit, Pong; Chai, Napat; Kiat, Ton
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 Krit, Pong; Pong, Ming; Rith, Vicheka; 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.
The influence of inquiry-based learning on high school students’ critical and creative thinking skills Krit, Pong; Som, Rit; Chai, Som
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.
Evaluate the Effectiveness of RNAi-Based Nanoparticles as Therapy for Pancreatic Cancer Anurogo, Dito; Krit, Pong; Lek, Siri
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.
A Neurocognitive Approach to Early Reading Intervention for Elementary School Children with Dyslexia Purnama, Yulian; Krit, Pong; Kiat, Ton
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.  
Co-Authors Chai, Napat Chai, Som Danang Ariyanto Dito Anurogo, Dito Kiat, Ton Lek, Siri Pong, Ming Purnama, Yulian Rith, Vicheka Som, Rit Suyitno Suyitno