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All Journal Technomedia Journal Aptisi Transactions on Technopreneurship (ATT) ADI Journal on Recent Innovation (AJRI) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi
Moyo, Kgomotso
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Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Menilai Efektivitas Alat Pembelajaran Gamifikasi di Ruang Kelas Prasekolah Moyo, Kgomotso; Safariningsih, Ratna Tri Hari; Baso, Farisha Andi; Sunanto, Sunanto
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 4 No 1 (2025): September
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v4i1.909

Abstract

As digital technology becomes more embedded in early childhood education, gamified learning tools present a valuable opportunity to boost engagement and support cognitive development in preschool-aged children. This study explores the effectiveness of gamified tools in improving learning outcomes, motivation, and classroom participation among children aged 4 to 6 years. A mixed methods approach was used, involving two groups from preschools, the experimental group used gamified applications during instructional activities, while the control group followed traditional teaching methods over an eight-week period. Quantitative data were gathered through literacy and numeracy assessments conducted before and after the intervention, and qualitative data were collected through classroom observations and structured interviews with teachers. The findings revealed that children in the experimental group demonstrated statistically significant improvements in academic performance compared to the control group. They also showed higher levels of motivation, longer attention spans, and greater classroom engagement. Teachers reported more positive classroom dynamics during gamified sessions, noting increased enthusiasm, focus, and collaboration among students. These results suggest that gamified learning tools can serve as a powerful complement to traditional teaching approaches, helping to make early childhood education more effective and enjoyable. However, the study also emphasizes the importance of thoughtful implementation, such as aligning content with age-appropriate learning goals and ensuring teachers are well-equipped to facilitate technology-based instruction. Overall, gamified tools hold strong potential to enhance the preschool learning experience in meaningful ways.
Utilizing Generative AI Models in Architectural Design An Innovative Approach Palupi Meilani, Yohana F. Cahya; Rohim, Rohim; Rozi, Achmad; Sunarjo, Richard Andre; Moyo, Kgomotso
Technomedia Journal Vol 10 No 2 (2025): October
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/wg15r798

Abstract

In the context of modern architectural design that demands innovation, speed, and efficiency, the emergence of generative artificial intelligence (AI) introduces a new paradigm in the creative process. This technology enables architects to explore design ideas more rapidly and extensively through diffusion-based algorithms capable of producing complex architectural visuals in a short amount of time. This study aims to empirically evaluate the effectiveness and efficiency of generative AI models, particularly Stable Diffusion v2.1, in supporting the stages of ideation, sketching, and architectural modeling. The research employs both qualitative and quantitative approaches through a comparative experiment between manual design and AI-assisted design. Measurements were conducted using four main parameters: production time, visual complexity, rendering sharpness, and the number of design iterations. The results indicate that the generative AI model can accelerate production time by up to 35% greater efficiency compared to the manual method. Furthermore, the Visual Complexity Score (VCS) reached 8.5/10 for AI-generated designs and 6.2/10 for manual ones, with an increase in rendering resolution up to 450 PPI. However, limitations were observed in semantic interpretation and the model’s dependence on well-crafted prompts. This study concludes that the integration of generative AI in architectural design not only enhances the efficiency and effectiveness of the design process but also expands the creative potential of architects. The research contributes to the development of sustainable digital architecture and supports the achievement of SDG 9 (Industry, Innovation, and Infrastructure) and SDG 11 (Sustainable Cities and Communities). 
Enhancing Entrepreneurial Skills and Pancasila Student Profiles through Digital Learning Tools in Science Education Juanta, Palma; Festiyed, Festiyed; Diliarosta, Skunda; Lufri, Lufri; Yohandri, Yohandri; Moyo, Kgomotso
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 2 (2025): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i2.518

Abstract

This research examines the effect of project-based learning (PjBL) assisted by ethnoscience animation videos on students problem-solving skills and their Pancasila character profile in science education. The study employed a quasi-experimental design to evaluate the impact of independent variables (PjBL and animated videos) on dependent variables (problem-solving skills and character development). The research objectives were to assess the effectiveness of the PjBL model in improving problem-solving skills and to determine its role in developing Pancasila character dimensions in students. The study involved students from classes VII-1 and VII-6 at Dr. Wahidin Sudirohusodo Middle School as the sample. Data collection included test instruments to measure problem-solving abilities and non-test instruments for assessing character dimensions of the Pancasila student profile. Results showed significant differences in the average scores of problem-solving skills between the experimental and control classes, with a significance value (2-tailed) of 0.00 < 0.05. Similarly, for the Pancasila student profile dimensions, the significance value was also 0.00 < 0.05, indicating a significant improvement in the experimental group. These findings confirm that the PjBL model assisted by ethnoscience animation videos is valid, practical, and effective for improving both problem-solving skills and character development. In conclusion, integrating PjBL with ethnoscience animation videos addresses the challenges in science education by aligning with skill-based and culturally relevant learning approaches. The model supports students cognitive and character development, making it suitable for application in the Society 5.0 era.
Blockchain Augmented AI Architecture for Strengthening Cybersecurity and Operational Trust in Modern Business Ecosystems Novriyanti, Bunga; Mardiana, Mardiana; Lutfiani, Ninda; Moyo, Kgomotso
ADI Journal on Recent Innovation (AJRI) Vol. 7 No. 2 (2026): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v7i2.1384

Abstract

Modern enterprises increasingly rely on interconnected digital infrastructures, which significantly increase exposure to cyber threats and trust-related vulnerabilities. Traditional security mechanisms often face limitations in providing real-time detection, transparent data validation, and resilient protection across distributed environments. This study aims to develop and evaluate a Blockchain-Augmented AI Architecture to enhance cybersecurity performance and strengthen operational trust within digital business ecosystems. The research adopts a quantitative experimental approach by integrating machine learning–based anomaly detection with a private blockchain layer for secure event logging and tamper-proof verification. The system is tested using simulated enterprise network traffic, and performance is evaluated based on detection accuracy, latency, throughput, and integrity validation efficiency. A comparative analysis is also conducted against conventional centralized cybersecurity models. The results demonstrate that the proposed architecture significantly improves cybersecurity robustness, achieving higher anomaly detection accuracy, reduced false positives, and faster verification time compared to baseline models. Additionally, blockchain integration enhances operational trust by ensuring immutable audit trails, decentralized consensus, and transparent data prove- nance. Overall, the combined system exhibits superior reliability and resilience across simulated network scenarios. This study concludes that integrating AI- driven detection with blockchain technology provides a more secure, transparent, and trustworthy cybersecurity framework for modern enterprises, while of- fering strong potential to support scalable digital transformation and address emerging threats in distributed environments
Co-Authors Farisha Andi Baso Festiyed Juanta, Palma Lufri Lufri Mardiana Mardiana Ninda Lutfiani Novriyanti, Bunga Palupi Meilani, Yohana F. Cahya Rozi, Achmad Rufi'i Safariningsih, Ratna Tri Hari Skunda Diliarosta Sunanto Sunanto Sunarjo, Richard Andre Yohandri Bow