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Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
SINTA 2Scopus
ISSN 2580-0760 · Ikatan Ahli Informatika Indonesia · 1.176 artikel di indeks
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Artikel Jurnal
Energy-Efficient Sector-Based Routing in 3D Wireless Sensor Networks Using Midpoint-Aware Cluster Head Selection
Energy efficiency is a key concern in three-dimensional Wireless Sensor Networks (3D WSNs), where irregular node distribution can shorten network lifetime. This study introduces a novel sector-based clustering protocol that partitions the sensing field azimuthally and selects Cluster Heads (CHs)…
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Artikel Jurnal
Real-Time Hand Gesture-Based Virtual Mouse System Using ESP32-CAM and OpenCV
This research develops a virtual mouse control system that uses real-time hand gesture recognition implemented on an ESP32-CAM–based Internet of Things (IoT) platform. By leveraging OpenCV for image processing, the system translates hand gestures into corresponding mouse actions, including cursor…
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Artikel Jurnal
Benchmarking Transformer Architectures for Chest X-ray Classification
Lung diseases remain a major global health concern, necessitating accurate and timely diagnosis. Chest X-ray (CXR) imaging is widely used but challenging to interpret due to overlapping radiographic features and subjective variability among radiologists. Deep learning approaches, particularly…
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Artikel Jurnal
A Comparative Evaluation of Federated Learning Algorithms for Privacy-Preserving Academic Prediction on Heterogeneous Data
The rapid growth of educational data enables predictive analytics for academic performance, yet privacy regulations like GDPR and FERPA severely restrict centralized data sharing. Although Federated Learning (FL) has succeeded in privacy-sensitive fields such as healthcare, its application in…
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Artikel Jurnal
Comparative Analysis of Multispectral Image Classification Based on EfficientNetB0, ResNet152, DenseNet161, DenseNet121, and HSV Segmentation
This study established a classification system based on Convolutional Neural Networks (CNNs) to detect High-High Fluctuation (HHF) patterns in multispectral data derived from pure water (H2O) and a water-sodium hydroxide (NaOH) solution. This study combines HSV color-space-based segmentation to…
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Artikel Jurnal
Leveraging Machine Learning to Predict Academic Specialization Pathways in Higher Education
This study developed a machine learning-based model to predict academic concentration selection among information systems students at Universitas Multimedia Nusantara (UMN). A survey of 125 students from the 2024 cohort revealed that 90% experienced difficulties in choosing a specialization…
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Artikel Jurnal
The Effect of Gamma Correction on the Accuracy of Vehicle Detection Using the YOLOv8 Algorithm
Accurate vehicle detection under low-light conditions is a significant challenge in traffic surveillance systems and computer vision applications. Although YOLOv8 performs well under normal illumination, its accuracy decreases when processing low-light images due to reduced contrast and limited…
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Artikel Jurnal
Optimization of a New Adaptive Stacking Ensemble Model Integrated with IoT for Stress Level Detection Based on Physiological Signals
Mental health issues among college students are receiving increasing attention, particularly because of academic and social pressures and the impact of technology use. This study aims to develop a real-time stress level prediction model using a New Adaptive Stacking Ensemble approach based on…
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Artikel Jurnal
Analysis of Backdoor Shells in Web Servers Using Splunk and SPL-Based Machine Learning
Backdoor shell attacks pose a critical threat to web server security, allowing attackers to bypass authentication and gain persistent, unauthorized control. Conventional signature-based detection methods often fail against these attacks due to their polymorphic and obfuscation techniques. To…
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Artikel Jurnal
Automated Young Children’s Pain Detection via Facial Expressions with YOLO v11
This study demonstrates that pain detection in young children using a YOLO v11-based deep learning model can be performed effectively. By utilizing image data taken from video recordings of immunization and IV infusion procedures, then processed into photo frames and labeled using Roboflow, the…
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Artikel Jurnal
Improving Vehicle Payment Method Classification Using XGBoost with SMOTE and SHAP Interpretation
Class imbalance in vehicle payment method classification can cause predictive models to become biased toward the majority. This study aims to build a classification model for automotive consumer payment methods using Extreme Gradient Boosting (XGBoost), with class balancing handled through the…
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Artikel Jurnal
HyRoBERTa: Hybrid Robustly Optimized BERT Approach Model for Sentiment and Sarcasm Detection in Post-Flood Social Media Analysis
The detection problem is a crucial step in sentiment classification because it strengthens the validity and reliability of the model's interpretation of ambiguous text, especially in complex social contexts such as post-disaster public communication. Without this detection, the model is prone to…
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Artikel Jurnal
A Hybrid Round-Robin Scheduler for GPU Batch Rendering in Constrained Cloud Environments
Creating high-quality 2D and 3D assets is essential for digital content, but inefficient scheduling and inaccurate time estimates often hamper the rendering process. Traditional methods, which assume rendering time is directly proportional to frame count, fail to account for variations in scene…
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Artikel Jurnal
Bayesian Hyperparameter Optimization of Lightweight CNNs for Facial Dermatological Classification
Convolutional Neural Networks (CNNs) have been widely applied for skin condition classification. However, fair comparisons across lightweight architectures are often hindered by inconsistent hyperparameter settings. This study investigates the performance of two efficient CNN architectures…
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Artikel Jurnal
Unifying Knowledge, Reasoning, and Hierarchy for Classifying Harmful Content
The spread of negative, engagement-driven content online causes significant societal harm, requiring advanced automated moderation tools. However, current classification systems often treat harmful content subtypes as independent, "flat" categories, which hinders their ability to thematically…
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Artikel Jurnal
Forecasting IHSG Stock Prices Using an Attention-Based CNN-BiGRU Hybrid Deep Learning
This study develops an IHSG stock price forecasting model using a hybrid CNN–BiGRU architecture enhanced by an attention mechanism. The key novelty lies in combining CNN-based local pattern extraction with BiGRU-based bidirectional temporal modeling, while attention selectively emphasizes the most…
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Artikel Jurnal
Serendipitous Recommendations for Handicraft Store Discovery in Social Commerce Using a Genetic Algorithm with Adaptive Selection
In social commerce, particularly among small and medium-sized handicraft enterprises (SMEs), personalized recommender systems (RS) are crucial for enhancing store and product discovery. Conventional content-based filtering (CBF) often overemphasizes accuracy, leading to over-specialization and…
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Artikel Jurnal
Firefly Algorithm Under-sampling for Imbalance Data in Breast Cancer Survival Prediction
Breast cancer remains a major health challenge, affecting approximately 1.7 million individuals annually and often leading to severe complications. Predicting survival outcomes is difficult due to highly imbalanced data, with 3,408 death cases compared to only 616 survival cases. To address this…
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Artikel Jurnal
Plant Disease Identification Using Image Processing: A Systematic Literature Review
This article is a literature review focusing on plant disease identification using image processing techniques. This review aims to provide a comprehensive analysis of dataset sources, preprocessing methodologies, segmentation techniques, feature extraction processes, and various classification…
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Artikel Jurnal
Multi-Class Semantic Segmentation of Oil Palm Areas Using a VGG-19 U-Net Improvement
UAV imagery-based semantic segmentation is crucial for mapping tropical agricultural areas such as oil palm plantations. The main challenges are overlapping vegetation objects, unclear boundaries, and spectral similarities between classes, which reduce the accuracy of conventional models. This…
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