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JUTI: Jurnal Ilmiah Teknologi Informasi
ISSN 1412-6389 · Institut Teknologi Sepuluh Nopember · 416 artikel di indeks
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Artikel Jurnal
Optimized Closed Frequent High Utility Itemset Mining Using OSR, OWL, and MSU Pruning on Retail Transaction Data
This research proposes the optimization of the Frequent Closed High-Utility Itemset Mining (FCHUIM) algorithm for retail transaction datasets using heuristic-based pruning techniques, Observed Support Ratio (OSR), Observed Weighted Lift (OWL), and Modified Subtree Utility (MSU). The algorithm aims…
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Artikel Jurnal
SentiBERT and Enhanced Bi-GRU for Weather-related Text Classification Using Lexical Features
The growing volume of weather related content on social media platforms, especially Twitter, has highlighted the need for robust classification models that can handle noisy, ambiguous, and emotionally subtle language. However, existing models machine learning such as Support Vector Machines (SVM)…
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Artikel Jurnal
Explainable BERT Embeddings for Veracity Assessment in Criminal Investigations
The binary classification of truth and lies is often a detriment in criminal investigations as statements are intentionally not entirely true nor entirely false. This ambiguity in the veracity of their claims demands more extensive methods such as explainable models. Explainable models…
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Artikel Jurnal
Handling Ambiguity in App Review-Based Software Requirement Classification Using Multi-Label BERT Transfer Learning
User-generated reviews on mobile applications represent a valuable yet ambiguous resource for classifying software requirements, particularly when multiple aspects—such as bugs, feature requests, and user experiences—are embedded within a single review. Although prior studies have shown the…
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Artikel Jurnal
A Comparative Study Evaluation of Kafka and RabbitMQ: Performance, Scalability and Stress Test in Distributed Messaging Systems
The two most widely used Message-Oriented Middleware (MOM) technologies are Apache Kafka and RabbitMQ, both of which have fundamental differences in terms of architecture and performance characteristics. Kafka is designed for high-throughput and good scalability data stream processing, while…
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Artikel Jurnal
Performance Evaluation of DNA-Based Cryptographic Algorithms on Constrained IoT Devices
DNA-based cryptographic techniques have attracted significant interest due to their intrinsic parallelism, high algorithmic complexity, and bio-inspired randomness. However, their practical applicability in resource-constrained Internet of Things (IoT) environments remains insufficiently explored…
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Artikel Jurnal
The Role of Advanced Penetration Testing Techniques in Enhancing Cybersecurity: A Survey on Web Application Security
The Internet continues to grow as an exciting platform for numerous web applications, providing crucial services to various industries and user communities. However, this expansion comes with an increase in cybersecurity threats, as web applications continue to be a primary target for malicious…
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Artikel Jurnal
Enhancing the Quality of Merged Process Models by Addressing Invisible Task
Model merging is a key approach for integrating multiple process model variants into a unified representation. Existing automated merging methods face challenges in handling invisible tasks, which are intentionally inserted in the process model to depict certain conditions, including stacked…
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Artikel Jurnal
Decision Support System for Determining Strategic Warehouse Locations Using a Combination of the WENSLO Weighting and RAWEC Method
Determining the location of a strategic warehouse is a crucial decision in supply chain management as it directly affects distribution efficiency, logistics costs, and service levels. This problem is multi-criteria and complex, requiring an approach that can accommodate differences in the…
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Artikel Jurnal
Multi-task Temporal Deep Learning Model for Real Time Intrusion Detection System
The rapid expansion of Internet of Things (IoT) ecosystems has enabled large-scale interconnected smart environments while simultaneously exposing IoT devices to increasingly sophisticated cyber threats. To address these challenges, machine learning and deep learning–based intrusion detection…
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Artikel Jurnal
Comparative analysis of deep learning models for multi-horizon rainfall forecasting in flood-prone tropical highlands
Accurate rainfall forecasting is critically important for the effective mitigation of floods and the management of water resources in tropical highland regions that serve as principal upstream catchment areas for major reservoirs. Heavy periods of rainfall in the upper watershed can exceed a…
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Artikel Jurnal
Tail latency, throughput, and memory overhead of monolithic and microservices architectures in resource-constrained docker deployments
Software architecture selection directly impacts system performance and resource efficiency. This motivates controlled comparisons to make pragmatic deployment decisions. This study compares the implementation of the same backend system, Node.js/Express and MariaDB, in a monolithic and…
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Artikel Jurnal
Evaluating deterministic asynchronous disk benchmarking using the linux asynchronous I/O
Accurate storage performance characterization in virtualized environments requires benchmarking tools with minimal runtime overhead. Conventional asynchronous I/O introduces scheduling overhead and latency variability, degrading measurement stability. This study designs and evaluates Calyx, a…
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Artikel Jurnal
Bean leaf disease classification using two-phase transfer learning with MixUp and classical machine learning
Bean leaf disease classification remains challenging due to limited annotated datasets and high visual variability in lesion size, color intensity, illumination, leaf orientation, and background conditions. Although convolutional neural networks and transfer learning have shown promising results…
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Artikel Jurnal
Understanding linguistic patterns of depression and anxiety in Indonesian social media text using machine learning classification and topic modeling
The increasing prevalence of mental health disorders such as depression and anxiety calls for effective approaches to analyze psychological expressions in textual data. This study explores the linguistic markers of depression and anxiety in Indonesian social media text through an integrated model…
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Artikel Jurnal
CO emission prediction in rotary dryers: a temporal fusion transformer approach
Carbon monoxide (CO) emission control in rotary dryer systems is critical for preventing explosive incidents within the Electrostatic Precipitator (ESP), particularly when emission levels approach the threshold of 10,000 ppm. Conventional reactive control systems relying solely on automatic…
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Artikel Jurnal
End-to-end encryption scheme for text and media exchange using AESGCM-SIV and elliptic curve diffie-hellman
The exchange of text messages and media files in modern digital communication demands an end-to-end encryption (E2EE) scheme that simultaneously guarantees confidentiality, integrity, authenticity, forward secrecy, and resilience to nonce mismanagement. The widely deployed AES-GCM cipher is known…
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Artikel Jurnal
Hybrid U-Net and ConvLSTM-based spatial forecasting of marine heatwave intensity and occurrence probability
Marine Heatwaves (MHW) are extreme sea surface temperature events that significantly affect marine ecosystems, fisheries, and coral reef environments, highlighting the need for accurate forecasting systems in vulnerable regions such as the Lesser Sunda Islands. This study aims to develop a hybrid…
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Artikel Jurnal
Density-aware reliability association for training-free FDTA enhancement in multi-object tracking
Multi-object tracking (MOT) in crowded scenes is difficult because objects frequently occlude each other and share similar appearances, leading to identity confusion. End to-end trackers based on the From Detection to Association (FDTA) architecture reduce inter-object embedding errors but remain…
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Artikel Jurnal
Survey on Risks Cyber Security in Edge Computing for The Internet of Things Understanding Cyber Attacks Threats and Mitigation
Dalam era pesatnya perkembangan teknologi, penggunaan IoT terus meningkat, terutama dalam konteks edge computing. Makalah survei ini secara teliti menjelajahi tantangan keamanan yang muncul dalam implementasi IoT pada edge computing. Fokus utama penelitian ini adalah potensi serangan dan ancaman…