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All Journal Technomedia Journal Aptisi Transactions on Management Startupreneur Business Digital (SABDA Journal) Journal of Computer Science and Technology Application
Alfri Adiwijaya
Universitas Raharja
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Other

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Using IPFS for Automatic Digital Intellectual Property Registration in Web3 Platforms Yusuf Tojiri; Maulana Arif Komara; Alfri Adiwijaya; Nasrul Hidayat; Cristiano Gatot Wagner; Marviola Hardini
APTISI Transactions on Management (ATM) Vol 10 No 2 (2026): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v10i2.2616

Abstract

This study proposes an IPFS-based system for automatic digital intellectual property registration within Web3 platform environments. The rapid development of digital technology has encouraged the transformation of Intellectual Property Rights (IPR) protection from manual systems to more secure and efficient digital mechanisms. However, current IPR registration processes remain centralized, slow, and vulnerable to data tampering. Based on this issue, this study aims to design and test an automatic IPR registration system using the InterPlanetary File System (IPFS) as a decentralized storage solution. This research employs a software engineering method with a prototyping approach that includes the design of a user interface, integration of the IPFS API, implementation of an automatic hash-generation system, metadata storage in a database, and issuance of digital certificates. Testing results show that the system can automatically register digital works, generate unique and consistent file hashes, upload files to IPFS with an average upload time of less than two seconds, and provide global accessibility through a distributed network. In addition, the system is capable of validating the authenticity of a work by matching the hash and metadata listed in the digital certificate. Based on these findings, it can be concluded that the use of IPFS in digital IPR registration systems is effective in enhancing security, efficiency, and transparency, although further development is required in relation to integration with national legal frameworks and formal legal recognition.
Big Data Governance Framework for Trustworthy Artificial Intelligence Decision Systems Adam Faturahman; Alfri Adiwijaya; Ardivan Avandi; Nanda Septiani; Kristina Vaher
CORISINTA Vol 3 No 2 (2026): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/kp2fkq63

Abstract

The rapid adoption of Artificial Intelligence (AI) decision systems has increased organizational dependence on large-scale data, making big data governance a critical requirement for ensuring reliable and responsible decision-making. Although AI systems are often evaluated based on predictive accuracy and computational performance, their trustworthiness is strongly influenced by the quality, security, privacy, traceability, and fairness of the data used throughout the AI lifecycle. This study aims to develop a Big Data Governance Framework for Trustworthy AI Decision Systems by integrating key governance dimensions with trustworthy AI requirements. A qualitative conceptual framework development approach was employed, supported by structured literature review, thematic synthesis, and design science research principles. Relevant literature on big data governance, trustworthy AI, data quality, privacy, security, explainability, accountability, fairness, and AI decision systems was reviewed to identify recurring concepts and research gaps. The results show that trustworthy AI decision systems require seven core governance dimensions: data quality governance, security and privacy governance, metadata and data lineage, bias and fairness control, explainability support, accountability mechanisms, and continuous monitoring. These dimensions strengthen trustworthy AI capabilities, including reliability, transparency, explainability, fairness, privacy preservation, security, robustness, and auditability. The proposed framework demonstrates that trustworthy AI is not only determined by algorithmic performance but also by strong data governance across the AI lifecycle. This study concludes that effective big data governance can improve decision accuracy, traceability, accountability, risk reduction, and stakeholder trust in AI-based decision systems.
Application of Green Technology in Digital Supply Chains to Improve Sustainability Performance Aswadi Jaya; Ramzi Zainum Ikhsan; Nasrul Hidayat; Alfri Adiwijaya; Te Hemi Zane
Technomedia Journal Vol 11 No 1 (2026): June
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v11i1.2669

Abstract

The rapid development of the digital industry has encouraged companies to transform conventional supply chain systems into digital supply chains that are more transparent, efficient, and data-driven. However, this transformation still faces sustainability challenges, particularly related to energy consumption, carbon emissions, operational waste, and inefficient resource utilization. This study aims to analyze the application of green technology in digital supply chains and examine its influence on sustainability performance through the mediating role of digital supply chain systems. A quantitative approach was employed by collecting data from 120 respondents involved in supply chain activities, including business actors, logistics managers, operational staff, procurement staff, distribution staff, and managerial decision-makers in the Jabodetabek area. The data were gathered using Likert-scale questionnaires and analyzed using the SEM-PLS method to test the relationships among green technology, digital supply chain, and sustainability performance. The findings show that green technology has a positive effect on digital supply chains and sustainability performance. Digital supply chains also positively influence sustainability performance and mediate the relationship between green technology and sustainability performance. The model explains 46.4% of the variance in digital supply chains and 68.1% of the variance in sustainability performance. he integration of green technology with digital supply chains can strengthen operational efficiency, reduce environmental impact, improve transparency, and sup- port sustainable business practices. This study contributes to the development of sustainability-oriented supply chain strategies aligned with SDG 9, SDG 12, and SDG 13.
Impact of Aaker Brand Equity on Trust and Loyalty in Renewable Energy Startups Adam Faturahman; Ari Asmawati; Alfri Adiwijaya; Harry Agustian; Stephanie Stephanie
Startupreneur Business Digital (SABDA Journal) Vol. 5 No. 2 (2026): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v5i2.1136

Abstract

This study examines the influence of Aaker’s Brand Equity Model on customer trust and customer loyalty in renewable energy startups, with a particular focus on digital marketing strategies. In the context of rapid technological advancement and growing environmental awareness, renewable energy has emerged as a strategic solution to reduce dependence on fossil fuels and support sustainable development. This research investigates how key dimensions of brand equity, namely brand awareness, perceived quality, and brand association, influence customer trust, which subsequently affects customer loyalty toward renewable energy startups. In addition, the study examines the role of digital marketing in strengthening the relationship between brand equity, customer trust, and customer loyalty. A quantitative approach was employed by collecting data from a purposive sample of 130 respondents who possessed knowledge of or experience with renewable energy products and services. Structural Equation Modeling (SEM) using the Partial Least Squares (PLS) approach was applied to analyze the relationships among the research variables. The results reveal that brand awareness and perceived quality have a positive and significant effect on customer trust, whereas brand association does not significantly influence customer trust. Furthermore, customer trust significantly enhances customer loyalty, confirming its mediating role in the relationship between brand equity dimensions and customer loyalty. These findings highlight the importance of strengthening brand awareness and perceived quality as key drivers of trust and long-term customer loyalty in renewable energy startups. This research contributes to the literature on digital marketing and brand management in the renewable energy sector and provides practical implications for startups seeking to build trust-based customer relationships and achieve sustainable competitive advantage in an increasingly competitive market.
Leveraging Synthetic Data for Business Analytics and Sustainable Digital Organizational Transformation Strategies Adam Faturahman; Alfri Adiwijaya; Steven Harazaki Lase; Nanda Septiani; Kabelo Thobela
Technomedia Journal Vol 11 No 2 (2026): October
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v11i2.2716

Abstract

Perkembangan teknologi digital yang semakin pesat telah mendorong organisasi untuk memanfaatkan data sebagai aset strategis dalam meningkatkan kualitas pengambilan keputusan, efisiensi operasional, dan daya saing bisnis. Namun, implementasi analitik bisnis berbasis data masih menghadapi berbagai tantangan, seperti keterbatasan ketersediaan data, permasalahan privasi, regulasi perlindungan informasi, serta kesulitan memperoleh dataset berkualitas tinggi untuk pengembangan model analitik. Synthetic data hadir sebagai pendekatan inovatif yang memungkinkan organisasi menghasilkan dataset buatan dengan karakteristik statistik yang menyerupai data nyata tanpa mengekspos informasi sensitif. Penelitian ini bertujuan untuk menganalisis peran pemanfaatan synthetic data dalam mendukung kapabilitas analitik bisnis serta memperkuat transformasi digital organisasi yang berkelanjutan. Penelitian ini menggunakan pendekatan konseptual melalui kajian literatur terhadap penelitian terkini mengenai synthetic data, artificial intelligence, business analytics, dan digital transformation. Hasil penelitian menunjukkan bahwa synthetic data memberikan manfaat strategis dalam meningkatkan ketersediaan data, mendukung pengembangan model machine learning, memperkuat perlindungan privasi, serta mempercepat inovasi berbasis teknologi digital. Selain itu, pemanfaatan synthetic data berkontribusi terhadap transformasi digital berkelanjutan melalui peningkatan kemampuan organisasi dalam membangun sistem pengambilan keputusan cerdas, mengoptimalkan proses bisnis, dan mengurangi ketergantungan terhadap dataset terbatas. Penelitian ini menyimpulkan bahwa synthetic data merupakan kapabilitas teknologi strategis yang mampu memperkuat ekosistem analitik bisnis dan mendukung pengembangan organisasi digital yang adaptif, aman, dan berkelanjutan.
Co-Authors Adam Faturahman Ardivan Avandi Ari Asmawati Aswadi Jaya Cristiano Gatot Wagner Harry Agustian Kabelo Thobela Kristina Vaher Marviola Hardini Maulana Arif Komara Nanda Septiani Nasrul Hidayat Ramzi Zainum Ikhsan Stephanie Stephanie Steven Harazaki Lase Te Hemi Zane Yusuf Tojiri