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Journal of ICT Research and Applications
Scopus
ISSN 2337-5787 · ITB Journal Publisher · 394 artikel di indeks
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Artikel Jurnal
Personalizing E-Commerce Experiences: A Machine Learning Framework for Dynamic Gamification and Customer Engagement
E-commerce platforms are increasingly challenged to sustain customer engagement amidst intensifying competition. Traditional gamification approaches, characterized by static, uniform mechanics, often fail to adapt to individual user preferences, leading to diminishing returns and decreased…
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Artikel Jurnal
Enhancing IoT Cybersecurity with Multi-Layer Deep Transfer Learning Approach for Intrusion Detection
Intrusion detection in IoT-enabled cloud environments is challenged by high-dimensional traffic, class imbalance, and limited labeled data. This paper proposes a hybrid framework combining Golden Jackal–Grey Wolf Optimization (GJO-GWO) for feature selection with a Kernel Mean Alignment Autoencoder…
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Artikel Jurnal
Cross-Lingual Transfer for Semantic Role Labeling in Indonesian
Semantic role labeling is a semantic analysis task that aims to identify the semantic relationships within a sentence, such as who did what to whom, where, when, and so on. Current semantic role labeling (SRL) models for the Indonesian language still face challenges in achieving strong performance…
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Artikel Jurnal
A Vision-Transformer-based Ensemble Model for Multi-label Disease Classification on CT Scans and Chest Radiographs
The increase in the volume of X-rays and computed tomography (CT) images has drastically increased the workload on radiologists. As a result, a computer-aided solution with the capability to classify CT scans is needed to reduce this workload. In this paper, a vision-transformer (ViT) based model…
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Artikel Jurnal
Task-Aware Load Balancing in Mobile Cloud Computing using Cloudlets
In the current era, almost every person uses a mobile device for tasks that range from basic phone calls to advanced computations. To increase the QoE of the mobile user, tasks may be offloaded to a cloudlet because of the lack of a large battery, large memory, and sufficient processing power…
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Artikel Jurnal
Determination of Oil Palm Planting Patterns using ArduSimple RTK2B GNSS, LoRa Communication, and Drone-based Orthophotos
Oil palm is a major plantation commodity in Indonesia, where accurate planting patterns are essential to optimize yield and support sustainable management. Conventional methods using stakes and ropes are labor-intensive and prone to spatial error, whereas many GNSS-based systems are costly and…
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Artikel Jurnal
Hybrid Genetic Algorithm and Particle Swarm Optimization as Centroid Initialization in K-Means Clustering for National Nutrition Dataset
The efficacy of large-scale public health interventions, such as Indonesia’s Makan Bergizi Gratis (MBG) program, relies heavily on the precise identification of vulnerable regions. Conventional clustering techniques like K-means are essential for such mapping but frequently suffer from performance…
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Artikel Jurnal
JATO: Deep Reinforcement Learning-based Joint Optimization for Task Offloading and Adaptive Transmission in Multimedia IoT Systems
As the Multimedia Internet of Things (M-IoT) evolves, the orchestration of numerous resources that offer support for high-bandwidth, low-latency applications arises as a key challenge. Architecturally, the edge-cloud framework alleviates structural concerns, but the linked nature of compute and…
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Artikel Jurnal
Improving JavaScript Learning Engagement with Gamification Techniques
JavaScript is highly demanded in modern development, but traditional learning methods often fail to engage students. To address this, this study designed and developed a responsive, gamified web-based JavaScript learning application using the ReactJS library. The application integrates gamification…
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Artikel Jurnal
Komodo-7B with Hybrid Retrieval and Q-LoRA for Indonesian Population Administration Question Answering
Fast, responsive, and informative public services are societal demands that must be fulfilled by government agencies, among which the Department of Population and Civil Registration of Surabaya City. To enhance service quality, this study developed a Large Language Model (LLM)-based Question…
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Artikel Jurnal
Post-Disaster Resilient Communication through Infrastructure-Free Networks
Traditional communication systems are often disrupted during disasters, leaving communities disconnected and interrupting the exchange of essential information. In these circumstances, a reliable communication approach is critical for coordinating relief and recovery activities. This work presents…
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Artikel Jurnal
Intelligent Approaches to Managing Communication Channels in Hybrid Terrestrial-Satellite Networks with LEO Segment
The integration of terrestrial 5G/6G networks with Low Earth Orbit (LEO) satellite systems is creating a class of hybrid Satellite–Terrestrial Integrated Networks/Non-Terrestrial Networks (STIN/NTN) for which channel management in the face of highly dynamic topologies and traffic heterogeneity is…
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Artikel Jurnal
Performance Evaluation of Nanoscale Single- and Dual-Gate MESFETs Using COMSOL Multiphysics
In this work, a comparative numerical simulation of single-gate and double-gate depletion mode GaAs MESFETs in the nanometer domain using COMSOL Multiphysics was carried out. The objective was to evaluate the significance of multi-gate structures based on electrostatic control capability in terms…
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Artikel Jurnal
Analyzing Software Evolution Dynamics using Execution Path-aware Graph Divergence
Software comprehension is a fundamental activity in software maintenance, and its complexity grows as systems evolve across releases. Call graphs (CG) are widely used to support this process because they capture the calling relationships among functions. However, obtaining meaningful comparisons…
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Artikel Jurnal
Usability Concerns and Design Solutions in Mobile Health Applications for Older Adults
Mobile health applications (mHealth) are known for their potential to enhance health delivery and improve health outcomes for older adults. However, despite their broad potential, significant usability concerns persist among older adults, preventing them from gaining advantages from mHealth and…
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Artikel Jurnal
Enhancing Healthcare RFID Asset Tracking: A Multi-Objective Optimization Approach Considering Network Delay, False Identification, and Energy Efficiency
This paper discusses asset challenges detection in the healthcare industry, specifically delays and inaccuracies in asset monitoring caused by suboptimal RFID polling methods. The research question is how to determine an appropriate RFID polling interval that balances asset location accuracy…
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Artikel Jurnal
Collision-Free Tool Path Optimization for Louvre Geometries Using an Adaptive Discrete Particle Swarm Framework
This study proposes a novel application of Particle Swarm Optimization (PSO) for tool path planning in complex louvre geometries utilized in heat transfer systems. Unlike conventional approaches, the proposed framework explicitly integrates geometric smoothness and collision avoidance into the…
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Artikel Jurnal
Water Filtration Machine with Monitoring System for Aquades Production and Founding an Optimal Pre- treatment Filter Ratio Before Reverse Osmosis Membrane
The increasing demand for distilled water (Aquades) in pharmaceutical and medical applications contrasts sharply with the limited quality of municipal water supplies and the high operating costs of commercial Aquades procurement. At the same time, many small-scale facilities still lack integrated…
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Artikel Jurnal
Scalable and Efficient Student Behavior Prediction using Parallelized Clustering and AHP-weighted KNN
This study proposes a scalable and efficient approach for predicting student behaviour in large-scale educational environments. It introduces a parallelized hybrid model that combines Density-Based Optimized K-Means clustering, Analytic Hierarchy Process (AHP) feature weighting, and Hierarchical…
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Artikel Jurnal
Enhancing Natural Language Inference Performance with Knowledge Graph for COVID-19 Automated Fact-Checking in Indonesian Language
Automated fact-checking is a key strategy to overcome the spread of COVID-19 misinformation on the internet. These systems typically leverage deep learning approaches through natural language inference (NLI) to verify the truthfulness of information based on supporting evidence. However, one…