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Journal : journal of computer science and technology application

Smart Contract Based Data Strategy for Startup Growth in Digital Business Systems Paroli Paroli; Muhtarom Muhtarom; Mungkap Mangapul Siahaan; Derlina Derlina; Kgomotso Moyo
CORISINTA Vol 3 No 2 (2026): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/gkh09876

Abstract

This study explores how smart contract based data strategies can support startup growth in digital business systems characterized by competition, limited resources, and increasing demand for transparency. In the context of rapid digital transformation, startups require reliable data governance mechanisms to manage transactions, automate business processes, and strengthen stakeholder trust. The background of this research highlights that conventional data management often faces challenges related to data integrity, operational inefficiency, centralized control, and limited transparency, making smart contracts a strategic alternative for supporting secure and automated digital business operations. The objective of this study is to analyze how smart contract based data strategies contribute to startup growth by enhancing data transparency, workflow automation, trust formation, and operational scalability. Employing a qualitative conceptual approach, this study synthesizes academic literature, blockchain related studies, and documented insights on smart contract implementation in digital business environments. The analysis focuses on key dimensions, including decentralized data management, automated transaction execution, transparency mechanisms, security assurance, and workflow efficiency. The results indicate that smart contracts function not merely as blockchain tools but as strategic data mechanisms that enable startups to reduce operational risks, improve process reliability, and strengthen digital business credibility. The conclusion reveals that effective smart contract implementation can support sustainable startup growth by improving data accountability, enhancing stakeholder confidence, and enabling scalable digital operations. This study contributes to blockchain and digital business literature by positioning smart contracts as strategic data capabilities for startup development.
AI-Based Technopreneurship for Speech Disorder Therapyin ADHD Children Uki Hares Yulianti; Ida Zulaeha; Subyantoro; Yusro Edy Nugroho; Kgomotso Moyo
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.