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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Informasi dan Ilmu Komputer InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Technomedia Journal Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) CSRID (Computer Science Research and Its Development Journal) ADI Journal on Recent Innovation (AJRI) ADI Bisnis Digital Interdisiplin (ABDI Jurnal) IAIC Transactions on Sustainable Digital Innovation (ITSDI) ProBisnis : Jurnal Manajemen International Journal of Cyber and IT Service Management (IJCITSM) Blockchain Frontier Technology (BFRONT) International Transactions on Artificial Intelligence (ITALIC) Journal of Computer Science and Technology Application
Fitra Putri Oganda
Universitas Raharja
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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Self Learning AI and Big Data for Resilient Cybersecurity in Distributed Networks Aswadi Jaya; Suca Rusdian; Fitra Putri Oganda; Tuti Nurhaeni; John Edwards
CORISINTA Vol 3 No 2 (2026): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/kz2w4z84

Abstract

The rapid expansion of large scale computer networks driven by cloud infrastructures, Internet of Things environments, and distributed digital services has significantly increased the complexity of cybersecurity threats. Traditional rule based security systems often struggle to detect evolving and previously unseen attacks within high volume network traffic. This study proposes a self learning artificial intelligence approach designed to enhance threat detection capability in large scale computer networks by leveraging adaptive learning mechanisms and large scale network data analysis. The proposed framework integrates machine learning models with big data processing techniques to continuously learn from network traffic patterns, behavioral anomalies, and historical security events. Through automated feature extraction and iterative model refinement, the system dynamically improves its ability to identify malicious activities without relying solely on predefined signatures. This study adopts a qualitative conceptual evaluation approach to examine the proposed self-learning artificial intelligence and big data framework for cybersecurity resilience in distributed computer networks. The evaluation is conducted through literature synthesis, comparative analysis of existing intrusion detection approaches, architectural modeling, and conceptual validation of the proposed framework against key cybersecurity requirements, including adaptability, scalability, continuous learning, and detection coverage for known and unknown threats. The system also shows strong scalability in processing high volume network data while maintaining stable detection performance. These results indicate that integrating self learning artificial intelligence with scalable data processing can strengthen cybersecurity resilience in large scale computer networks and support the development of more adaptive and intelligent network defense mechanisms for future digital infrastructures.
Digital Business Strategy in 3D Laser Startupreneur through the DAGMAR Framework Muh Tahir; Nuke Puji Lestari Santoso; Fitra Putri Oganda; Syahrul Mu'Arif Wahid; Harry Agustian; Oliver Sauntos
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.v11i1.2661

Abstract

Rapid development of digital technology requires startupreneurs to optimize marketing strategies to strengthen consumer loyalty, particularly in emerging industries such as 3D Laser services. This study aims to analyze the effect of DAGMAR based digital marketing, represented by Brand Awareness, Product Information Understanding, and Digital Content Attractiveness, on Product Interest and its implication for Purchase Loyalty in the 3D Laser startupreneur context. This research employed a quantitative approach using a survey method involving 100 respondents. The collected data were analyzed using Structural Equation Modeling Partial Least Square (SEM-PLS) to examine the direct and indirect relationships among the research variables. The findings indicate that Brand Awareness, Product Information Understanding, and Digital Content Attractiveness have positive and significant effects on Product Interest. Furthermore, Product Interest has a positive and significant effect on Purchase Loyalty. The mediation test also confirms that Product Interest significantly mediates the relationship between the three independent variables and Purchase Loyalty. These results emphasize that Product Interest serves as a psychological mechanism connecting DAGMAR  based digital marketing strategies with longterm consumer loyalty. Enhancing Brand Awareness helps consumers recognize and recall the brand, while Product Information Understanding supports informed decision making through clear and relevant product details. Digital Content Attractiveness captures attention and encourages engagement through visual and interactive content. Practically, startupreneurs in the 3D Laser industry should integrate data driven digital marketing strategies to build stronger consumer relationships, encourage repeat purchases, and foster positive word-of-mouth for sustainable business growth.
Co-Authors Adam Faturahman Adrian Sean Bein Agung Ali Djamhuri Asep Sutarman Aswadi Jaya Bist, Ankur Singh Desy Apriani Evans, Richard Farida Agustin, Farida Faturahman, Adam Fauziyah, Nida Fitriani, Anandha Giandari Maulani, Giandari Harahap, Eka Purnama Harry Agustian Henry Zainarthur Indri Handayani Indri Handayani, Indri Ita Sari Perbina Manik John Edwards Marviola Hardini Mohamad Agus Setiawan Muh. Tahir Mulyati Mulyati Mumen, Md. Abdul Natalia, Ester Ananda Nesti Anggraini Santoso Ninda Lutfiani Nuke Puji Lestari Santoso Nur Azizah Nur Ihsan Permadi Nurjanah, Lina Oliver Sauntos Padeli Pangestu, Anggit Panji Pramono, Bayu Purnomo, Andri Cahyo Qurotul Aini Rawat, Bhupesh Retno Setyaningrum Reyhan Algiffary Gunawan Riya Widayanti Rudi Edi Santoso Salam, Rahmat Sandy Setiawan Santoso, Nuke Puji Lestari Shofiyul Millah Sihotang, Sondang Visiana Suca Rusdian Sudaryono Sudaryono Sunengsih, Meriyana Syahrul Mu'Arif Wahid Tarisya Ramadhan Tarisya Ramadhan Titih Nursugiharti Tuti Nurhaeni Untung Rahardja Wiliams, Alexander Winanti Yusuf Abdurachman Zebua, Selamat