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ITEGAM-JETIA
Scopus
ISSN 2447-0228 · Institute of Technology and Education Galileo da Amazônia · 1.499 artikel di indeks
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Artikel Jurnal Teks lengkap
Machine Learning for Coronary Heart Disease Risk Prediction: A Conventional and Ensemble Classification Model Approach
Coronary Heart Disease (CHD) is the leading cause of illness and mortality worldwide. This is driven by risk factors such as high cholesterol, hypertension, smoking, diabetes, obesity and genetic predisposition. Early detection and management of CHD are critical and involve lifestyle changes…
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Artikel Jurnal Teks lengkap
Intelligent Game-Theoretic Deep Reinforcement Learning Caching for Named Data Networking: A Unified Optimization Framework
Named Data Networking (NDN) revolutionizes content-centric communication through intrinsic in-network caching, yet optimal cache management remains challenging under dynamic content popularity and resource constraints. This paper introduces GT-DRLCache, a novel framework that synergistically…
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Artikel Jurnal Teks lengkap
Enhancing Renewable Energy Reliability: A Study on Hybrid Solar-Wind Systems for Efficient Power Generation
Hybrid solar–wind plants offer an effective resolution of the real problem of intermittency, ensuring steady electricity supply and minimizing the need for technology of storage. Although they cost more upfront, they provide savings over time, aid the environment and advance decarbonization…
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Artikel Jurnal Teks lengkap
Experimental Methods and A/B Testing in FinTech: Applied Guide in Python
This paper provides an applied guide to the use of experimental methods, particularly A/B testing, in the FinTech sector, leveraging Python-based tools. It examines how these techniques validate business hypotheses, optimize interfaces, personalize financial services, and enhance critical metrics…
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Artikel Jurnal Teks lengkap
Effect of Battered Piles on the Response of Piled Raft and Pile Group Foundations A Numerical Study
The piled raft (PR) foundation system combines a shallow raft with deep piles, mobilising both components through complex raft–pile–soil interactions. Due to its effectiveness under vertical and lateral loads, it is widely used to support tall, heavily loaded structures. However, the complexity of…
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Artikel Jurnal Teks lengkap
Optimal Conversion Topologies for Grid-Connected PV Systems: A Comparative Study of Single-Stage and Two-Stage Configurations
With the ongoing rise in global energy demand, grid-connected photovoltaic (PV) systems are increasingly recognised as a viable and sustainable energy alternative. These systems primarily operate using one of two distinct topologies: the two-stage (DC-DC-AC) configuration, in which the voltage from…
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Artikel Jurnal Teks lengkap
Hybrid GPT and Neural Models for Personalized E-Commerce: A Novel Framework for Adaptive and Transparent Product Recommendations
In order to transform e-commerce customization, the study presents a product recommendation system that makes use of OpenAI's GPT model's better resources in conjunction with neural integration. Traditional systems often rely on collaborative filtering or content-based models. This may lack…
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Artikel Jurnal
Integrated MCDM Model for Evaluation of Two-File Prequalification Tender at Procurement Bureau in Indonesia
Tenders in Indonesia are managed by the government, with each province having a goods and services procurement bureau that serves as the selection committee known as POKJA (Kelompok Kerja). The government uses LPSE for procurement, with tender evaluations involving document verification. The lowest…
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Artikel Jurnal
A Novel Adaptive Ensemble Intelligence Framework for Strengthening Cloud Security Against DDoS Threats for Accurate Detection and Mitigation
The high adoption of cloud computing has thoroughly increased the need to have good security controls in order to ensure the flexibility and uniformity of the services. One of the most disruptive categories of emerging cyber threats is the DDoS attacks that are capable of flooding system resources…
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Artikel Jurnal
A Three-Tier Integrated Queue Management System: Optimized Service Delivery for Land Transportation Clients
Optimization of client satisfaction and faster services are the main goals of any service-oriented government organization. However, the land transportation agency in Eastern Visayas Region of the Philippines experience challenges in the management of its flow and processes, as the methods applied…
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Artikel Jurnal
Structural Optimization Using Grey Wolf Optimizer and Its Variants
Now a days, many metaheuristic optimization algorithms are invariably used in the field of engineering and data science. In structural mechanics, many stochastic optimization algorithms are employed for solving the complex numerical problems. Suitable optimization algorithms must be selected as the…
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Artikel Jurnal
Area and Power Efficient Sparse Aware Architecture for Pointwise Convolution Unit using Variable Density Bound Block
MobileNet introduced depthwise separable convolution, significantly reducing computations in comparison to standard convolution, making them fit for edge computing. Parameter-efficient models like MobileNet-v1 can be pruned to further reduce the number of parameters. In most of the pruning methods…
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Artikel Jurnal
Integration of MOST and TOPSIS Methods to Support Business Development Strategy Formulation in the Steel Pipe Industry of Surabaya, Indonesia
This study develops an integrated decision-making framework to formulate business development strategies for the steel pipe manufacturing industry in Surabaya, Indonesia. The research combines the MOST and TOPSIS methods, supported by the Analytical Hierarchy Process (AHP), to systematically…
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Artikel Jurnal
IoT-Based Multi-Sensor Data Fusion for Precision Crop Yield Optimization Using Arduino, ESP32, and Webcam Integration
The increasing global population necessitates a critical shift toward advanced, efficient agricultural practices to secure food production. Traditional farming methods, which rely heavily on subjective manual assessment, are often insufficient, leading to suboptimal resource utilization and slow…
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Artikel Jurnal
Comprehensive Energy Audit and Efficiency Assessment of a University Campus: A Case Study at the University of Eastern Philippines
This study presents a comprehensive energy audit of the University of Eastern Philippines (UEP) aimed at assessing electricity consumption patterns, identifying inefficiencies, and proposing energy conservation strategies for institutional sustainability. The audit followed a three-phase…
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Artikel Jurnal
Review of Emerging AI Techniques for Green Hydrogen in Sustainable Energy
Green hydrogen is sustainable energy and clean source that has the potential to significantly alter important industries like manufacturing, the production of electricity, and transportation. Green hydrogen has the potential to ease the transition to low-carbon energy sources because of its leading…
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Artikel Jurnal
Enhanced Control of DFIG-Based Wind Turbine Using Hybrid Fuzzy Super-Twisting Sliding Mode Control for Improved Power Quality and Robustness
In the pursuit of advancing renewable energy technologies, optimizing wind turbine performance through sophisticated control systems is pivotal for addressing energy variability and enhancing system efficiency. This paper presents a novel hybrid fuzzy super-twisting sliding mode control (HFSTSMC)…
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Artikel Jurnal
Particle Swarm Optimization and Ensemble Methods for Absenteeism Prediction
According to the High absenteeism among employees, this absenteeism can be detrimental to an organization as it can result in productivity and economic loss. machine learning (ML) techniques used to employee absenteeism of courier company. The study employs an inductive learning approach…
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Artikel Jurnal
Meta-Learning Based Stacking of CNN, SVM, and Random Forest for Multi-Species Crop Leaf Pathology Recognition
Accurate identification of crop leaf diseases is essential for sustainable agriculture, yet variations in leaf morphology and disease symptoms across species remain challenging for traditional machine learning approaches. This study proposes a meta-learning–based stacking ensemble that integrates…
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Artikel Jurnal
Fuzzy Adaptive Speed and Position Control for Permanent Magnet Synchronous Motors
The use of knowledge-based linguistic regulators constitutes a powerful tool for controlling complex processes. The synthesis of most of these regulators is primarily based on the experience of the operator or process engineer, on which the regulator's performance strongly depends. Much of the…
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