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Leveraging Blockchain Governance and Smart Contracts for Entrepreneurs in Social Media Kanon Mommsen Wongkar; Triananda Fajar Satriawan; Nuke Puji Lestari Santoso; Noah Rangi
Blockchain Frontier Technology Vol. 6 No. 1 (2026): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/b-front.v6i1.1090

Abstract

Social media entrepreneurship is shaped by centralized platforms controlling algorithms, monetization, and data, often limiting autonomy and bargaining power. Blockchain governance and smart contracts offer alternative arrangements to enhance transparency, trust, and value distribution. This study aims to examine the role of blockchain governance and smart contracts as alternative institutional mechanisms for entrepreneurs in social media ecosystems, with a focus on implementation conditions, strategic opportunities, and associated limitations. This research adopts a qualitative conceptual approach based on a systematic review of indexed academic literature published between 2022 and 2025, complemented by an analysis of documentation from blockchain based social media platforms, white papers, and relevant industry reports. The analysis maps key challenges faced by social media entrepreneurs onto blockchain governance mechanisms and smart contract functionalities. The findings indicate that blockchain governance and smart contracts can enhance entrepreneurial participation, improve transparency in revenue distribution, and strengthen the protection of digital assets. However, these benefits are context dependent and con- strained by several factors, including technical complexity, unequal token distribution, and regulatory uncertainty. Therefore, blockchain governance and smart contracts should not be viewed as universal solutions, but as strategic instruments whose effectiveness depends on inclusive governance design, sufficient technical readiness, and adaptive policy frameworks to support sustainable social media entrepreneurship. This article contributes by proposing an evaluative framework to assess the implementation of blockchain governance and smart contracts in social media entrepreneurship, emphasizing alignment be- tween technological design, governance inclusivity, and ecosystem readiness.
Blockchain for Enhancing Data Traceability in Digital Supply Chain Management Hayatun Nufus; Bambang Hermansah; Ratna Tri Hari Safariningsih; Shesilia Wibowo; Noah Rangi
Blockchain Frontier Technology Vol. 5 No. 2 (2026): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v5i2.947

Abstract

In recent years, the complexity of global supply chains has increased the need for transparent, secure, and traceable data management systems. As a background to this study, conventional supply chain databases often suffer from data fragmentation, lack of interoperability, and vulnerability to manipulation, which hinder real-time decision-making and trust among stakeholders. The main objective of this research is to explore how blockchain technology can enhance data provenance tracking and integrity within digital SCM systems. To achieve this, a hybrid research method combining literature review, case study analysis, and system prototype simulation was conducted to examine the effectiveness of blockchain-based record tracking frameworks. The method integrates smart contracts and distributed ledger technology to record, verify, and share data across multiple supply chain entities. The results reveal that blockchain implementation significantly improves data transparency, reduces information asymmetry, and enhances trust across different supply chain participants. Furthermore, the findings indicate that the decentralized nature of blockchain minimizes data tampering risks and supports compliance with international traceability standards. In conclusion, this research demonstrates that blockchain provides a robust foundation for digital SCM by strengthening data lineage tracking, security, and accountability, ultimately contributing to a more resilient and efficient supply chain ecosystem.
Financial Access and Saving Behavior in Women Entrepreneurship Development Zoel Hutabarat; Noah Rangi
APTISI Transactions on Management (ATM) Vol 10 No 3 (2026): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v10i3.2647

Abstract

Women-owned businesses have become an important driver of economic growth, employment generation, and social inclusion, particularly in developing countries. Despite their growing contribution, women entrepreneurs continue to encounter barriers related to financial access, institutional support, and entrepreneurial capabilities. This study investigates how business support, access to finance, skill development, and saving behavior influence women entrepreneurship development among small and medium-sized enterprises in Batam City, Indonesia. Data were obtained from 244 women entrepreneurs and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The empirical results demonstrate that business support, financial access, and skill development positively affect women entrepreneurship development, with skill development emerging as the strongest predictor. In addition, saving behavior significantly moderates the relationship between access to finance and women entrepreneurship development, indicating that financial management practices influence the effectiveness of financial resources in supporting entrepreneurial growth. These findings suggest that sustainable women entrepreneurship depends on the interaction between external support mechanisms and individual entrepreneurial capabilities. The study provides practical implications for policymakers and entrepreneurship support institutions by emphasizing the importance of integrated strategies that strengthen financial inclusion, entrepreneurial competencies, financial literacy, and institutional support to foster the long-term development of women-owned enterprises.
Building Consumer Loyalty Through Digital Marketing Strategies in Anime Clothing Brands Felix Sutisna; Tuti Nurhaeni; Nuke Puji Lestari Santoso; Galih Putra Cesna; Noah Rangi; Eka Dian Astuti
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 2 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i2.1297

Abstract

In the fashion industry, particularly within the anime clothing brand sector, building consumer loyalty has become a crucial challenge for ensuring long- term growth while supporting sustainability principles aligned with the Sustainable Development Goals (SDGs), specifically SDGs 8 and SDGs 12. This study aims to analyze various digital marketing approaches that can enhance consumer loyalty toward anime clothing brands by examining how digital interactions, visual identity, and community engagement contribute to sustained brand consumer relationships. The research employs a descriptive qualitative approach supported by observational data from social media analytics, documentation of digital campaign activities, and the interpretation of consumer engagement patterns across multiple digital platforms. The findings indicate that digital strategies such as leveraging social media to strengthen brand presence, collaborating with anime influencers, utilizing community based content, and implementing personalization through email marketing and loyalty programs effectively increase consumer emotional attachment and behavioral loyalty. Brands that successfully create emotionally engaging digital experiences and interact authentically with their audiences demonstrate a stronger potential to build sustainable loyalty. Furthermore, maintaining consistent brand com- munication, ensuring continuity in marketing campaigns, and integrating SDGs oriented values are identified as essential components for sustaining long-term relationships with consumers. The study concludes that digital marketing not only strengthens brand visibility but also plays a strategic role in shaping responsible consumer behavior, fostering loyalty within niche fashion communities, and supporting broader sustainability goals in the anime fashion industry.
Omnichannel Strategy and Student Word of Mouth in Higher Education Cicilia Sriliasta; Bahtiar Usman; Ayu Ekasari; Noah Rangi
APTISI Transactions on Management (ATM) Vol 10 No 1 (2026): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/fpxhae27

Abstract

In the era of digital transformation, Higher Education Institutions (HEIs) face increasing pressure to modernize their service delivery to meet evolving student expectations. While Omnichannel Integration (OCI) has revolutionized customer experiences in retail and banking, its application within the educational sector remains underexplored. This systematic literature review aims to bridge this gap by examining the impact of OCI on Student Engagement and Word-of-Mouth (WoM). Adhering to the PRISMA guidelines, a rigorous screening process was conducted across multiple academic databases, resulting in the analysis of 74 eligible studies published between 2014 and 2024. The thematic analysis identifies four core dimensions of OCI Channel Service Configuration, Content Consistency, Quality Assurance, and Process Consistency. The findings reveal a significant distinction between commercial and educational contexts in HEIs, the integration of physical and digital touchpoints is not merely a logistical upgrade but a strategic necessity for relationship building. Crucially, the review establishes that OCI does not automatically generate advocacy. Instead, the student engagement acts as a vital mediating variable, meaning that seamless integration fosters deeper engagement, which subsequently drives positive WoM. This study contributes to the literature by synthesizing fragmented evidence into a cohesive framework, offering university administrators practical strategies to enhance student retention and institutional reputation through consistent cross channel experiences.
The Impact of Educational Information Systems on Learning Accessibility in Higher Education Sudadi Pranata; Maulana Arif Komara; Fhia Amelia; Noah Rangi
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.v2i2.132

Abstract

This study explores the impact of educational information systems on enhancing learning accessibility in higher education, as digital tools increasingly become integral to academic support, and student engagement. The main objective is to assess how these systems improve access to learning resources and facilitate communication, particularly for students from diverse backgrounds and with varying educational needs. Using a mixed-methods approach, this research combines quantitative analysis of accessibility metrics with qualitative insights from surveys and interviews with students and faculty across different higher education institutions. The findings show that educational information systems significantly enhance learning accessibility by providing flexible access to resources, facilitating real-time feedback, and supporting personalized learning paths. These systems also improve student engagement by enabling convenient access to materials and fostering a collaborative learning environment that accommodates different learning styles. However, the study identifies several barriers, including gaps in digital literacy, usability challenges, and unequal access to the necessary infrastructure, which can limit the effectiveness of these systems in reaching all students equally. Additionally, concerns around data privacy and system complexity are noted as areas needing attention to build user trust and ensure smoother system integration. The study concludes that while educational information systems hold great promise for improving accessibility and inclusivity in higher education, addressing these barriers through targeted training, digital equity initiatives, and robust data protection policies is essential for maximizing their potential. These insights offer valuable guidance for educational institutions aiming to create more inclusive learning environments through strategic integration of educational information systems.
Accelerating Time to Market through Agile in AI Innovation Susy Alestriani Sibagariang; Farisha Andi Baso; Nugroho Prihantoni; Noah Rangi
CORISINTA Vol 3 No 1 (2026): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v3i1.158

Abstract

Rapid digital transformation, driven by the increasing integration of Artificial Intelligence (AI) into digital products and services, has intensified competition across industries and positioned Time-to-Market (TTM) as a critical success factor for digital innovation projects. AI-oriented development requires rapid iteration, continuous data processing, and frequent model refinement, which are often difficult to support using traditional project management approaches, leading to delayed deployment and reduced adaptability. In this context, agile methodologies have emerged as a flexible and adaptive framework that aligns well with the iterative and data-driven nature of AI development. This study examines the impact of agile adoption on TTM performance in digital innovation projects, particularly those involving AI-enabled components, using a qualitative multiple-case study design based on semi-structured interviews with product managers, developers, and agile practitioners, complemented by analysis of project documentation, AI workflows, and delivery metrics. The findings show that organizations adopting agile methodologies achieve a development cycle time reduction of approximately 25% to 40% within the first two years of implementation, supported by key practices such as iterative sprint development, cross-functional collaboration between engineering and data teams, continuous feedback loops, and early testing of AI components. Overall, the study confirms that agile methodologies serve as an effective strategic mechanism for accelerating TTM in AI-driven digital innovation projects.
Artificial Intelligence for Inclusive Learning within Sharia Educational Ethics Ninda Lutfiani; Kanon Mommsen Wongkar; Tatik Mariyanti; Rifqa Nabila Muti; Noah Rangi
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 4 No 2 (2026): March
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v4i2.930

Abstract

The integration of Artificial Intelligence (AI) in education has created new opportunities to enhance inclusive learning across diverse educational contexts. In Islamic educational institutions, the adoption of AI presents a dual responsibility to embrace technological innovation while ensuring alignment with Sharia based ethical principles that emphasize justice, accountability, and respect for human dignity. This study investigates how AI is utilized to support inclusive learning within Islamic education settings in Southeast Asia using a qualitative descriptive approach with a multi-site case study design. Data were collected through semi-structured interviews with teachers, school leaders, and IT developers from selected Islamic educational institutions and analyzed using thematic coding techniques. The findings reveal that AI contributes positively to inclusive learning by enabling adaptive instruction, personalizing learning content, facilitating early identification of learning barriers, and supporting data-driven decision-making. When implemented within Sharia-compliant ethical frameworks, AI enhances fairness, balanced participation, and student engagement. However, the study also identifies several challenges, including limited content filtering mechanisms, insufficient data privacy governance, and the risk of algorithmic bias that may unintentionally marginalize certain student groups. This research highlights the importance of ethical governance and value-based AI design to ensure that AI adoption in Islamic education remains equitable, inclusive, and contextually appropriate. The findings provide strategic implications for institutional policy development, curriculum planning, and the long-term governance of AI-driven educational systems within Islamic educational environments.
Decision Reliability Evaluation of AI Expert Systems in High Impact Domains Zubair Ahmad; Adam Faturahman; Meriyana Sunengsih; Noah Rangi
International Transactions on Artificial Intelligence Vol. 4 No. 2 (2026): May
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v4i2.1074

Abstract

AI expert decision support systems are increasingly used in public administration, healthcare, and financial risk management, yet conventional accuracy centered evaluations often fail to capture whether systems produce stable decisions across repeated executions. This study aims to develop a reliability oriented evaluation framework for assessing AI expert decision support systems beyond single-run predictive performance. The focus of the study is decision reliability in high-impact AI applications where inconsistent outputs may reduce accountability, weaken institutional trust, and create governance risks. A repeated experimental evaluation approach was applied using recent datasets from 2022 to 2024 representing heterogeneous and imbalanced decision conditions. The proposed framework integrates decision stability measurement, interpretability consistency assessment, confidence interval analysis, and statistical significance testing to examine system behavior under realistic operational scenarios. The results show that models with comparable predictive accuracy can demonstrate statistically significant differences in decision reliability. Confidence interval analysis indicates meaningful variability in output consistency, while interpretability evaluation reveals uneven explanatory stability across model executions. These findings confirm that reliability-oriented evaluation provides a more comprehensive and policy-relevant assessment of AI expert systems than accuracy-based evaluation alone. The study contributes to responsible AI deployment by offering an evaluation perspective that strengthens technical assessment, governance accountability, and trustworthiness in high-impact decision environments.