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Menampilkan 1–10 dari 184 artikel
Toward Explainable AI for Cybersecurity: A NIST-Based Knowledge Graph for Transparent Semantic Reasoning
Journal of Information Technology and Computer Science
Vol 2
, No 1
(2026)
Explainable artificial intelligence (XAI) has become a critical requirement in cybersecurity due to the high-stakes nature of security decision-making and the limitations of black-box learning models. This study investigates the construction of an explainable cybersecurity knowledge representation by leveraging standardized terminology from the NIST cybersecurity glossary. The primary problem addressed is the lack of transparent and semantically grounded reasoning mechanisms in existing AI-drive...
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The Revolution of The Merit System Through Computer-Assisted Testing in The Recruitment of Village Officials in Kendal Regency
Law and Justice research journal
Vol 2
, No 1
(2026)
Bureaucratic reform at the village level is a crucial prerequisite for achieving professional, effective, and accountable village governance. One of the key pillars of this reform is the implementation of a merit system in the management of village human resources, particularly in the recruitment and appointment of village officials. In this context, the Computer-Assisted Test (CAT) has emerged as a policy innovation designed to enhance objectivity, transparency, and procedural fairness in the s...
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Kepercayaan Adat Dayak Tomun: Mekanisme Solidaritas Sosial, Kontrol non-formal, dan Adaptasi Budaya di Era Modernisasi
Filosofi : Publikasi Ilmu Komunikasi, Desain, Seni Budaya
Vol 3
, No 1
(2026)
This study analyzes the role of the indigenous belief system of the Dayak Tomun community as a foundation for social solidarity, a mechanism of non-formal social control, and a strategy of cultural adaptation in the context of modernization. Grounded in Émile Durkheim’s sociology of religion, particularly the concepts of mechanical solidarity and collective consciousness, this research employs a qualitative approach through a phenomenologically oriented literature review. Data were obtained from...
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Assessing Software Architecture Resilience Using Quantitative Metrics in Cloud Native Application Development Environments
Indonesian Journal of Infomatics
Vol 1
, No 1
(2026)
Cloud native architectures are essential for modern software systems due to their ability to handle dynamic environments, scalability, and high availability. However, ensuring resilience in these systems remains a significant challenge, particularly under varying operational conditions such as high-load periods and failure scenarios. This study aims to assess the resilience of cloud native architectures using quantitative metrics that objectively evaluate key attributes such as availability, fau...
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Framework for Integrating Continuous Integration and Continuous Deployment (CI or CD) with Automated Security Testing to Improve Software Dependability
Software Engineering in Computing Systems
Vol 1
, No 1
(2026)
The increasing demand for rapid software delivery has led to the widespread adoption of Continuous Integration (CI) and Continuous Deployment (CD) pipelines. These pipelines automate the processes of code integration, testing, and deployment, significantly improving the speed and reliability of software development. However, traditional CI or CD pipelines often overlook security testing, leading to vulnerabilities in the deployed software. To address this gap, this study proposes an integrated f...
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A Context Aware Knowledge Graph Framework for Enhancing Semantic Interoperability in Large Scale Distributed Information Systems
Indonesian Journal of Infomatics
Vol 1
, No 1
(2026)
Semantic interoperability remains a major challenge in large scale distributed information systems due to heterogeneous data schemas, diverse contextual interpretations, and the dynamic nature of distributed environments. Traditional metadata-based interoperability approaches are often insufficient to address these challenges, as they lack semantic expressiveness and adaptability. This study proposes a context aware knowledge graph framework to enhance semantic interoperability across heterogene...
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A Deep Learning Based Approach to Real Time Video Content Analysis and Visualization for Intelligent Human Computer Interaction in Multimedia Systems
Digital Multimedia and Visualization Technology
Vol 1
, No 1
(2026)
This study explores the integration of deep learning based approaches in real time video content analysis for intelligent human computer interaction (HCI) in multimedia systems. Traditional video analysis techniques, such as rule-based methods and offline processing, struggle with real time performance and adaptability to complex video data. In contrast, the deep learning model used in this research, particularly Convolutional Neural Networks (CNNs), provides high accuracy in object detection, f...
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Integrating Computational Thinking and Adaptive Curriculum Frameworks to Enhance Problem Solving Skills in Undergraduate Programming Education Across Diverse Learning Contexts
Programming and Algorithm Fundamentals
Vol 1
, No 1
(2026)
This study investigates the integration of computational thinking (CT) principles with adaptive curricula to enhance problem-solving skills in undergraduate programming education. Traditional programming curricula often emphasize syntax and basic concepts, neglecting critical problem-solving strategies. The adaptive curriculum framework used in this study combines CT skills such as decomposition, pattern recognition, abstraction, and algorithmic thinking with personalized learning experiences. A...
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Inovasi Produk dan Pelatihan Manajemen Bisnis untuk UMKM Pakaian Tradisional Palembang dalam Mengembangkan Potensi Wisata Fashion Lokal
Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia
Vol 4
, No 4
(2025)
This community service program aims to enhance the capacity of traditional clothing UMKM in Palembang through product innovation and business management training in order to support the development of local fashion tourism. UMKM engaged in producing songket, jumputan, and Palembang batik possess significant economic and cultural potential; however, they face various challenges, including limited design innovation, weak business management skills, and insufficient utilization of digital technolog...
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Pengaruh Implementasi Teknologi Rekayasa Industri terhadap Peningkatan Kapabilitas SDM di Sektor Produksi
Manufaktur: Publikasi Sub Rumpun Ilmu Keteknikan Industri
Vol 3
, No 4
(2025)
The implementation of industrial engineering technologies, such as automation, the Internet of Things (IoT), artificial intelligence (AI), and lean manufacturing, has significantly transformed human resource (HR) capabilities in the production sector, particularly in response to the Industry 4.0 paradigm. This study aims to examine the relatively low level of technology adoption in Indonesia, estimated at only 6–20% of manufacturing companies, and its impact on the development of HR competencies...
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