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Menampilkan 1–10 dari 45 artikel
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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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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Perbandingan Daya Dukung Pondasi Bored Pile Menggunakan Perhitungan Manual, Software Allpile dan Test PDA (Studi Kasus: Proyek Pembangunan Gedung Fave Hotel Banyumanik Kota Semarang)
Jurnal Teknik Sipil
Vol 18
, No 2
(2025)
Perhitungan daya dukung pondasi yang akurat menjadi aspek penting dalam memastikan stabilitas dan keamanan struktur bangunan secara keseluruhan. Penelitian ini bertujuan untuk membandingkan nilai daya dukung ultimit (Qu) dari pondasi bored pile dengan menggunakan empat pendekatan berbeda, yaitu perhitungan manual menggunakan metode Schmertmann & Nottingham, Mayerhoff (1976), software Allpile, serta hasil uji lapangan dengan PDA (Pile Driving Analyzer). Studi kasus dilakukan pada proyek pemba...
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ANALISIS KEBUTUHAN AIR BERSIH PAMSIMAS “SENDANG LUMINTU” DESA SENDANGKULON KECAMATAN KANGKUNG KABUPATEN KENDAL MENGGUNAKAN EPANET 2.0
Journal of Civil Engineering and Technology Sciences
Vol 4
, No 1
(2025)
Air bersih merupakan kebutuhan pokok yang sangat penting bagi kehidupan manusia. Seiring dengan pertambahan dan perkembangan penduduk kebutuhan akan air bersih juga semakin meningkat, untuk itu perlu dilakukan analisis terhadap sistem jaringan perpipaan eksisting. Penelitian ini dilakukan dengan bantuan Pamsimas Sendang Lumintu Desa Sendangkulon Kecamatan Kangkung yang bertujuan untuk mengetahui kondisi eksisting sistem jaringan perpipaan Pamsimas Sendang Lumintu untuk tahun 2024 , mengetahui be...
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Jurnal Sistem Informasi Persediaan Barang Dengan Metode Buffer Stock Berbasis Web
Teknik: Jurnal Ilmu Teknik dan Informatika
Vol 5
, No 2
(2025)
Inventory management plays a crucial role in ensuring smooth business operations by preventing stockouts that may cause losses. Toko Cat Gani still relies on manual recording, which is prone to data loss, duplicate entries, and delays in stock reporting, thus requiring a systematic solution. This study aims to design and implement a web-based inventory information system using the buffer stock method to overcome these issues. The research method employed is Research and Development (R&D) wit...
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Hybrid Zero Trust Container Based Model for Proactive Service Continuity under Intelligent DDoS Attacks in Cloud Environment
International Journal of Computer Technology and Science
Vol 2
, No 3
(2025)
Growth rapid computing cloud, especially on academic, government, and service platforms. public, has trigger improvement frequency and complexity Distributed Denial of Service (DDoS) attacks. Intelligent DDoS attacks AI based capable copy pattern Then cross user valid, so that difficult detected and mitigated. The majority approach mitigation moment This nature reactive, no scalable, and tends to sacrifice availability service for authorized users. Research This aiming develop architecture proa...
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Penerapan Teknologi Sistem Informasi untuk Mendukung Informasi dan Promosi pada Kaliwungu Printing
Teknik: Jurnal Ilmu Teknik dan Informatika
Vol 5
, No 1
(2025)
This study is motivated by the declining revenue of Kaliwungu Printing every month, which is caused by the inconsistency in product promotion. As a result, the lack of regular and comprehensive promotional efforts has led to limited public awareness of Kaliwungu Printing. The purpose of this research is to develop a structured and comprehensive promotional tool to showcase the products offered by Kaliwungu Printing.
This research employs a qualitative method to obtain accurate and relevant data....
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Systematic Literature Review on CNN and YOLO Algorithms for Detecting Plant Diseases in Precision Agriculture
Systematic Literature Review Journal
Vol 1
, No 1
(2025)
Computer vision-based algorithms, especially Convolutional Neural Networks (CNN) and You Only Look Once (YOLO), have become the leading approaches in plant disease detection. CNN excels in extracting complex visual features for disease classification, while YOLO provides high-efficiency real-time object detection capabilities. Both algorithms have shown promising results in various studies, especially with controlled datasets. However, challenges remain in their application in real-world conditi...
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