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p-Index From 2021 - 2026
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All Journal International Journal of Cyber and IT Service Management (IJCITSM) Journal of Computer Science and Technology Application
Sigit Anggoro
Jenderal Achmad Yani University
Computer Science & IT Decision Sciences, Operations Research & Management Other

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Leadership Configurations Supporting TOGAF-Based Information System Architecture at Jenderal Achmad Yani University Sigit Anggoro; Asher Nuche
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 5 No. 2 (2025): October
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v5i2.201

Abstract

Digital transformation in higher education institutions demands integration between information technology, organizational culture, and adaptive leadership. This study aims to analyze the configuration of leadership styles in supporting The Open Group Architecture Framework (TOGAF) based information system architecture at Jenderal Achmad Yani University (UNJANI), a tertiary institution under the TNI Army Foundation which is building a transformation towards a Smart Military University. This research uses a qualitative approach with a case study method, relying on data from in depth interviews, participant observation and institutional documentation. The research results show that the success of digital transformation in UNJANI is supported by a combination of four leadership styles: military leadership (emphasizing discipline and command), transformational leadership (focusing on vision and empowerment), distributed leadership (emphasizing collaboration and collective decisions), and e-leadership (utilization of information technology in leadership). These four styles play a role in various phases of TOGAF, especially in Architecture Vision, Business Architecture, and Implementation Governance. This study shows that contextual, flexible, and values based leadership is a key factor in the success of information systems architecture in higher education environments.
Deep Learning Driven Big Data Architecture for Scalable Intelligent Network Threat Detection Sigit Anggoro; Palma Juanta; Ariesya Aprillia; Adele Valerry
CORISINTA Vol 3 No 2 (2026): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/vc0kmq21

Abstract

This study proposes a deep learning driven big data architecture designed to enable scalable and intelligent network threat detection in high volume traffic environments. Increasing network traffic volume and heterogeneity generated by enterprise systems, cloud services, and Internet of Things devices require more adaptive and intelligent security mechanisms beyond traditional signature-based approaches. This study aims to develop an intelligent threat-detection framework that leverages deep-learning models and big data analytics to enhance detection accuracy, scalability, and real-time response capabilities in large-scale network environments. A distributed big data architecture is integrated with advanced deep neural networks to process high-dimensional network traffic features, perform automated feature learning, and classify malicious activities using optimized training and validation strategies. The proposed framework is evaluated using benchmark intrusion detection datasets and simulated real-world network traffic scenarios to ensure robustness and generalizability. Experimental findings demonstrate that the proposed approach achieves superior detection accuracy, lower False-Positive Rates, and improved processing efficiency compared with conventional machine learning-based intrusion-detection systems. The integration of deep learning and big data analytics provides a scalable and adaptive solution for intelligent threat detection in computer networks, contributing to the development of next-generation cybersecurity systems capable of addressing evolving and sophisticated cyber attacks.
Co-Authors Adele Valerry Ariesya Aprillia Asher Nuche Palma Juanta