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Enhancing Transparency and Efficiency in Startupreneur Development through Blockchain Enabled Digital Finance: Transparansi dan Efisiensi Pengembangan Startupreneur pada Keuangan Digital Berbasis Teknologi Blockchain Andayani, Dwi; Muhamad, Jihad Fadel; Lutfiani, Ninda; Wahid, Wahyu Nur; Moyo, Kgomotso
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 1 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i1.1236

Abstract

Blockchain technology has become a vital foundation in the transformation of digital financial systems, particularly in supporting the growth of startupreneurs whorequire fast, secure, and transparent financial access. This study aims to analyze howtheimplementation ofblockchain technology can enhance operational efficiency and financial transparency in the development of digital startup businesses. Using a qualitative approach through literature review and best practice analysis, the research reveals that blockchain enables decentralized transactions, minimizes intermediaries, and ensures high data integrity ultimately strengthening investor and consumer trust in the startupreneur ecosystem. The adoption of smart contracts, immutable records, and automated verification also contributes to accelerating financial processes and mitigating fraud risks. However, challenges such as regulatory complexity, digital infrastructure readiness, and data security concerns remain obstacles to widespread blockchain adoption. These findings affirm that blockchain holds significant potential in creating a more inclusive, efficient, and sustainable digital financial model, in line with Sustainable Development Goals (SDGs) points 8 and 9. Recommendations are provided for startupreneurs and stakeholders to strategically integrate this technology into digital business development.
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). 
AI-Based Technopreneurship for Speech Disorder Therapyin ADHD Children Uki Hares Yulianti; Zulaeha, Ida; Subyantoro; Yusro Edy Nugroho; Moyo, Kgomotso
CORISINTA Vol 2 No 2 (2025): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i2.135

Abstract

While existing literature explores AI in healthcare, this study uniquely high-lights technopreneurial approaches to address accessibility and affordability ofAI-based therapies. Focusing on Indonesia as a case study, the paper exam-ines how AI can support children with ADHD who often face delays in speechdevelopment and communication. ADHD affects attention, language process-ing, and social interaction, creating challenges for effective therapy. AI inte-grates machine learning to analyze speech patterns, detect phonological errors,and provide adaptive therapy exercises tailored to children’s developmental lev-els. Findings indicate that AI improves diagnostic accuracy and delivers engag-ing interventions through interactive and gamified tools, enhancing motivationand participation for children who struggle with conventional therapy. AI sys-tems can track progress and adjust feedback in real time, offering personalizedsupport. However, barriers remain regarding affordability, infrastructure, andthe need for human oversight to manage complex emotional and behavioral re-sponses. In this context, technopreneurship is essential to scale affordable AI-based therapies for schools, clinics, and homes. By bridging gaps in healthcaredelivery, this study contributes to SDG 3 (Good Health), SDG 4 (Quality Ed-ucation), and SDG 10 (Reduced Inequalities). It emphasizes the importance ofinterdisciplinary collaboration among AI developers, speech-language patholo-gists, medical professionals, and educators. Overall, AI-driven technopreneur-ship demonstrates strong potential to improve early detection, therapy person-alization, and language development for children with ADHD, while ensuringbroader accessibility and sustainability.
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
Evaluating the Impact of Interdisciplinary Learning Factory Models on Innovation Skills Using Statistical Analysis Moyo, Kgomotso; Sucihatiningsih Dian Wisika Prajanti; Muhtarom, Muhtarom; Faudzul Adzim
International Transactions on Education Technology (ITEE) Vol. 4 No. 2 (2026): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v4i2.1081

Abstract

This study examines the impact of interdisciplinary learning factory models on the development of students innovation skills in higher education environments that integrate academic learning with industrial practices. The increasing demand for graduates with strong innovative competencies highlights the need for interdisciplinary learning approaches that effectively bridge theoretical knowledge and real-world industrial applications within learning factory settings. The main objective of this research is to evaluate the influence of interdisciplinary learning factory models on key dimensions of innovation skills, including creative thinking, problem-solving, collaboration, and critical thinking abilities. A quantitative research design was employed using structured survey instruments administered to students participating in interdisciplinary learning factory programs, and the data were analyzed through statistical techniques, including descriptive analysis, reliability and validity testing, and inferential statistical methods to examine the relationships between variables. The findings indicate a significant and positive effect of interdisciplinary learning factory models on students innovation skills, demonstrating that integrated and collaborative learning environments effectively foster innovative competencies and enhance learning outcomes. These results suggest that interdisciplinary learning factory models represent a powerful educational strategy for strengthening innovation-oriented skills in higher education, offering theoretical contributions to learning factory research and practical implications for educational institutions in designing interdisciplinary learning frameworks that support sustainable innovation and alignment with industry needs.