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All Journal World Psychology Journal Markcount Finance Rechtsnormen Journal of Law Sharia Oikonomia Law Journal Darussalam: Journal of Psychology and Educational Journal of Selvicoltura Asean Research Psychologie, Orientation et Conseil Journal of Tecnologia Quantica Research of Scientia Naturalis Journal of Biomedical and Techno Nanomaterials Journal of Social Entrepreneurship and Creative Technology
Kiat, Ton
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Physics Social Sciences Other

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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.  
Unsupervised Classification of Topological Phase Transitions in Many-Body Quantum Systems Using Variational Quantum Eigensolvers Aziz, Safiullah; Raza, Amir; Kiat, Ton
Journal of Tecnologia Quantica Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i5.3197

Abstract

The study of topological phase transitions in many-body quantum systems has gained significant attention due to its implications for quantum computing and condensed matter physics. Traditional methods of classifying topological phases often rely on computationally expensive techniques or labeled data, which can be impractical for large systems. This research aims to develop a novel, scalable approach for unsupervised classification of topological phase transitions using Variational Quantum Eigensolvers (VQEs) in conjunction with unsupervised machine learning algorithms. The objective is to efficiently classify quantum phases without requiring pre-labeled data, offering a more efficient solution for studying large, interacting quantum systems. The methodology involves simulating quantum systems, including a 1D spin chain and a 2D topological insulator, and optimizing their ground states using VQEs. Key quantum features, such as energy spectra and correlation functions, are extracted and fed into clustering algorithms to identify different topological phases. The performance of the unsupervised learning algorithm is evaluated through clustering purity and accuracy metrics. The results demonstrate that the proposed method successfully identifies trivial and non-trivial phases with high accuracy (95% for the 1D spin chain and 92% for the 2D topological insulator).  
Revitalizing Cultural Heritage: An AR-Based Digital-Preneurship Start-Up for Sustainable Tourism and Community Empowerment Som, Rit; Kiat, Ton; Rossi, Giovanni
Journal of Social Entrepreneurship and Creative Technology Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v2i6.2989

Abstract

Cultural heritage is a vital aspect of community identity and history, yet many regions face challenges in preserving and promoting their heritage in the face of modern economic pressures. Traditional tourism practices often lead to the commercialization and degradation of cultural sites, while communities struggle to benefit economically from their heritage. Augmented Reality (AR) technology offers a promising solution by providing immersive, interactive experiences that can both preserve and promote cultural heritage while supporting sustainable tourism. This study explores the implementation of an AR-based digital-preneurship start-up model designed to revitalize cultural heritage through tourism while empowering local communities. The research employs a mixed-methods approach, combining quantitative surveys and qualitative interviews with both local stakeholders and tourists. The findings reveal that the AR platform significantly enhanced both tourist engagement and local economic outcomes, increasing community participation in tourism-related activities and boosting income for local businesses. The study concludes that AR-based digital-preneurship offers a scalable, sustainable model for cultural heritage revitalization, providing communities with a new avenue for economic development and cultural preservation. This research contributes to the growing body of knowledge on the intersection of technology, entrepreneurship, and sustainable tourism.
Co-Authors Aris Krisdiyanto Aziz, Safiullah Chai, Napat Chai, Nong Fitri, Aroviani Amsa Fitriani, Wahida Imron Natsir, Imron Kartika Nur Fathiyah Krit, Pong Lek, Siri Muntasir, Muntasir Pong, Ming Purnama, Yulian Raza, Amir Rindang, Adelia Rossi, Giovanni Rosul, Ahmad Som, Rit Syunikitta, Mirwanti Thai, Aom Yeni, Putri Yovita Yovita