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All Journal Aptisi Transactions on Management International Journal of Cyber and IT Service Management (IJCITSM) Journal of Computer Science and Technology Application
Nanda Septiani
Universitas Raharja
Computer Science & IT Decision Sciences, Operations Research & Management Other

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PoTS: Proof of Tunnel Signature for Certificate Based on Blockchain Technology Dewi Immaniar; Nur Azizah; Dedeh Supriyanti; Nanda Septiani; Marviola Hardini
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 1 No. 1 (2021): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1575.986 KB) | DOI: 10.34306/ijcitsm.v1i1.28

Abstract

Proof of Tunnel Signature (PoTS) is designed to avoid the main problems found in certificates based on Blockchain technology. In this case, it is so closely related to Cybersecurity. A lightweight protocol such as a Certificate Authenticated Key Agreement (CAKA) is needed to reduce the vulnerability of a system's operation, namely overcoming management overhead by using a decentralized system according to the characteristics of Blockchain Technology. PoTS is the second stage after determining the Key Agreement (KA) or certificate hash in authenticating a node, and this is also a significant step in minimizing computation costs. The nodes generated after the signing process remain anonymous and can be verified optimally. Smart contracts are also used as a support so that this research can ensure transparency and openness of transaction nodes to maintain and improve the efficiency of transaction security for a certificate based on Blockchain Technology.
PoTS: Proof of Tunnel Signature for Certificate Based on Blockchain Technology Dewi Immaniar; Nur Azizah; Dedeh Supriyanti; Nanda Septiani; Marviola Hardini
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 1 No. 1 (2021): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v1i1.28

Abstract

Proof of Tunnel Signature (PoTS) is designed to avoid the main problems found in certificates based on Blockchain technology. In this case, it is so closely related to Cybersecurity. A lightweight protocol such as a Certificate Authenticated Key Agreement (CAKA) is needed to reduce the vulnerability of a system's operation, namely overcoming management overhead by using a decentralized system according to the characteristics of Blockchain Technology. PoTS is the second stage after determining the Key Agreement (KA) or certificate hash in authenticating a node, and this is also a significant step in minimizing computation costs. The nodes generated after the signing process remain anonymous and can be verified optimally. Smart contracts are also used as a support so that this research can ensure transparency and openness of transaction nodes to maintain and improve the efficiency of transaction security for a certificate based on Blockchain Technology.
Data Driven and Sustainable Innovation Strategies for Long Term Product Market Fit in SMEs Sri Lestari Pujiastuti; Nanda Septiani; Adam Faturahman; Steven Harazaki Lase; Mitra Trima Dessincer Putri; April Lansonia
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.v10i2.2615

Abstract

In an increasingly dynamic and sustainability-conscious marketplace, startups and SMEs face mounting pressure to sustain product relevance and strategic resilience over time. This study investigates how integrated data-driven strategies support long-term product–market fit (PMF) through the alignment of real-time analytics, structured customer feedback loops, and sustainability-oriented innovation practices. Drawing on Resource-Based and Organizational Capability perspectives, the study conceptualizes digital capability formation as a strategic asset that strengthens adaptive market alignment under structural constraints. Using PLS-SEM analysis on data collected from 110 SMEs, five key constructs are examined: technology utilization, data-driven decision-making, customer feedback integration, sustainable innovation capability, and market responsiveness. The results indicate that technology utilization and data-driven decision-making exert significant positive effects on long-term PMF, while customer feedback integration facilitates iterative product refinement and market consistency. However, sustainable innovation capability and market responsiveness demonstrate negative path coefficients, suggesting that without structured governance, digital maturity, and prioritization mechanisms, these capabilities may generate operational strain or reactive strategic behavior that weakens long-term positioning. The findings extend the Data Strategy–Sustainability convergence literature by validating an integrative model that bridges digital capability development and responsible innovation in SME contexts. Managerially, the study highlights the importance of phased digital adoption and disciplined sustainability integration to ensure durable competitive alignment within evolving industrial ecosystems
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.
Co-Authors Adam Faturahman Alfri Adiwijaya April Lansonia Ardivan Avandi Dedeh Supriyanti Dewi Immaniar Kristina Vaher Marviola Hardini Mitra Trima Dessincer Putri Nur Azizah Sri Lestari Pujiastuti, Sri Lestari Steven Harazaki Lase