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All Journal Technomedia Journal Aptisi Transactions on Management Journal of Computer Science and Technology Application
Maulana Arif Komara
Universitas Raharja
Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media Other

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Artificial Intelligence and Big Data Framework for Cybersecurity Resilience in Distributed Networks Syaifuddin Syaifuddin; Ahmad Gunawan; Maulana Arif Komara; Agung Lorenzo
CORISINTA Vol 3 No 2 (2026): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/kjn69m96

Abstract

The rapid expansion of distributed computer networks, driven by cloud computing, IoT ecosystems, edge computing, and software-defined infrastructures, has increased cybersecurity complexity. The growing volume, velocity, and variety of network data challenge traditional security mechanisms that focus primarily on threat detection, often neglecting system resilience, adaptive response, and recovery. This study develops a resilience-oriented intelligent big data analytics framework integrating Artificial Intelegence (AI), big data processing, and distributed cybersecurity monitoring to strengthen resilience in modern digital environments. A qualitative approach was employed through systematic literature review, conceptual modeling, thematic synthesis, and comparative analysis of existing architectures. The framework consists of four interconnected layers: data acquisition and aggregation, big data processing, intelligent analytics, and adaptive response and recovery. It supports continuous monitoring, anomaly detection, threat prediction, automated mitigation, and recovery orchestration. Comparative analysis indicates that prior studies focus mainly on improving intrusion detection or machine learning techniques, providing limited attention to resilience dimensions such as adaptability, fault tolerance, recovery efficiency, and operational stability. In contrast, the proposed framework integrates intelligent analytics with scalable big data infrastructures and distributed security mechanisms to create a unified resilience-oriented cybersecurity ecosystem. Findings suggest that combining AI-driven analytics, distributed processing, and adaptive security orchestration provides a strategic foundation for enhancing cybersecurity resilience, supporting sustainable digital infrastructure development, and ensuring operational stability in increasingly complex and interconnected network environments.
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.
Platform Based Digital Business Model Analysis to Enhance Sustainable Organizational Competitiveness Marviola Hardini; Suca Rusdian; Dwi Nur Ramadhan; Maulana Arif Komara; Cristiano Gatot Wagner
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.v11i1.2688

Abstract

The development of the digital economy encourages companies to adopt platform-based business models that connect consumers, merchants, service partners, and technology providers within an integrated ecosystem. This study aims to analyze digital platform business models in enhancing sustainable competitiveness in Indonesia. This study uses a descriptive qualitative approach through literature review, documentation analysis, and digital observation. The analytical framework includes the Business Model Canvas, SWOT Analysis, and Triple Bottom Line to examine value creation, strategic position, and sustainability contributions. Objects include GoTo, Shopee, Tokopedia, and TikTok Shop Indonesia. The findings indicate that network effects, ecosystem integration, artificial intelligence-based personalization, data analytics, and partnerships are key factors in building competitive advantage. SWOT Analysis shows that platform strengths lie in user scale and ecosystem breadth, while the challenges include profitability pressure, promotional dependence, regulation, and global competition. From a sustainability perspective, digital platforms contribute to MSME empowerment, financial inclusion, operational efficiency, green logistics, and ESG implementation. Triple Bottom Line integration relates to SDGs 8, SDGs 9, and SDGs 12. These findings emphasize the importance of balancing economic performance, social impact, and environmental responsibility in Indonesia’s digital platform strategies. Practically, the results support stronger ecosystem governance and inclusive sustainable national economic policies.
Co-Authors Agung Lorenzo Ahmad Gunawan Alfri Adiwijaya Cristiano Gatot Wagner Dwi Nur Ramadhan Marviola Hardini Nasrul Hidayat Suca Rusdian Syaifuddin Syaifuddin Yusuf Tojiri