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Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi
ISSN 0216-0544 · Informatics Department, Engineering Faculty · 169 articles in the index
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Journal Article
Optimization EfficientNetV2 model variant using Grad-CAM for multiple MRI brain tumor classification
Fast and accurate diagnosis plays a critical role in effectively treating brain tumors. This study optimized and evaluated the EfficientNetV2 architecture through transfer learning, fine-tuning, and data augmentation, using three variants Small, Medium, and Large to classify MRI images into four…
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Journal Article
Comparative analysis of CatBoost and LightGBM algorithms for predicting dental caries risk based on lifestyle factors
Dental caries is a common oral infection but significantly impacts life. This study aims to compare the performance of the CatBoost and LightGBM algorithms in predicting dental caries risk based on health and lifestyle data from over 55,000 South Korean NHIS participants. Imbalanced data was…
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Journal Article
Deep learning algorithms for autism spectrum disorder detection using eye-tracking patterns
Early diagnosis of autism spectrum disorder (ASD) plays a crucial role in facilitating prompt interventions and assessing post-therapy progress, both of which can greatly improve developmental trajectories. The emergence of artificial intelligence—particularly deep learning—has opened new…
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Journal Article
Classification of human scabies skin disease using ConvNeXt
Scabies is a contagious skin disease caused by Sarcoptes scabiei and remains a health issue in many countries, including Indonesia. Clinical diagnosis is often difficult due to symptom similarities with other skin conditions. This study evaluates the ConvNeXt architecture for scabies classification…
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Modified BERTopic using IndoSBERT for topic modeling in Bahasa
The vast amount of textual data -particularly undergraduate theses abstracts produced in the digital age- makes it difficult for readers to identify the topics contained within them. Topic modeling facilitates readers in identifying topics within a collection of textual data. One method for topic…
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Journal Article
Advanced processor selection guidance system for optimal computing performance using AHP-profile matching
The increasing complexity of modern processors and rapid advances in computing technology pose significant challenges for users seeking to select the optimal processor to satisfy their specific requirements. The " Processor Selection with AHP-Profile Matching: Implementation and Performance…
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Journal Article
Hyperparameter optimization of XGBoost using artificial bee colony for predicting medical complications in hemodialysis patients
Chronic Kidney Disease (CKD) is a serious global health issue, ranking as the 12th leading cause of death in 2019, with a 31.7% increase since 2010. Many CKD patients require hemodialysis, which poses risks of complications such as hypertension, hypotension, and gastrointestinal disorders…
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Journal Article
PCA-counseled k-means and k-medoids with dimension reduction for improved in determining optimal aid clustering
Assuring effective allocation requires targeted distribution of aid, which makes aid clustering a crucial component. For the purpose of using data-driven segmentation based on important characteristics to determine effective help targeting, accuracy in clustering is essential. The study explores…
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Journal Article
Comparison of Feature Extraction in Support Vector Machine (SVM) Based Sentiment Analysis System
Sentiment analysis plays a crucial role in natural language processing by identifying and categorizing opinions or emotions conveyed in textual data. It is widely applied across diverse fields such as product review analysis, social media monitoring, and market research. To enhance the accuracy and…
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Journal Article
Comparative analysis of random forest and deep learning approaches for automated acute lymphoblastic leukemia detection using morphologicaland textural features
Acute Lymphoblastic Leukemia (ALL) is a type of blood cancer that requires early and accurate detection for effective treatment. Current diagnostic approaches face significant challenges including time-consuming manual examination, inter-observervariability, and difficulty in balancing sensitivity…
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Journal Article
Generative adversarial networks (GANS) for generating face images
The advancement of artificial intelligence technology, particularly deep learning, presents significant potential in facial image processing. Generative Adversarial Networks (GANs), a type of deep learning model, have demonstrated remarkable capabilities in generating high-quality synthetic images…
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Journal Article
The strategy implementing IoT-based land transportation for sustainable transportation
The development carried out by the government requires the availability of infrastructure including transportation infrastructure. Today's transportation sector planning is greatly influenced by technological advances. In encouraging the realization of sustainable transportation, the application of…
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Journal Article
Convolutional layer exertion on few-shot learning for brain tumor classification
Brain tumors, though relatively rare, pose a significant threat due to their critical location within the brain, impacting essential bodily functions. Accurate and timely diagnosis is vital, but traditional diagnostic methods are time-intensive and rely heavily on large labeled datasets. This study…
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Journal Article
Comparative study of unsupervised anomaly detection methods on imbalanced time series data
Anomaly detection in time series data is essential, especially when dealing with imbalanced datasets such as air quality records. This study addresses the challenge of identifying point anomalies rare and extreme pollution levels within a highly imbalanced dataset. Failing to detect such anomalies…
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Journal Article
A Multi-label book genre classification: Comparison of machine learning techniques and problem transformation methods
Books play an essential role in life as a source of knowledge and information. The increasing number of books published makes classification more complex, especially in a multi-label context where a book may belong to more than one genre. Furthermore, automatic classification of book genres is…
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Journal Article
STUDENT ACADEMIC PERFORMANCE PREDICTION FRAMEWORK WITH FEATURE SELECTION AND IMBALANCED DATA HANDLING
Various factors cause the low scores of students in practicum courses. If these factors cannot be identified, more and more students will drop out of the study due to low scores, especially Vocational College students who do not have the opportunity to improve their scores in the short semester…
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Journal Article
IMAGE CAPTIONING USING TRANSFORMER WITH IMAGE FEATURE EXTRACTION BY XCEPTION AND INCEPTION-V3
Image captioning is a task in image processing that involves creating text descriptions that can describe the image content. The formation of the image captioning system model is influenced by image interpretation related to the given image caption. Image interpretation is influenced by the feature…
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Journal Article
IMPLEMENTATION OF BALANCING DATA METHOD USING SMOTETOMEK IN DIABETES CLASSIFICATION USING XGBOOST
In this research, XGBoost algorithm and the SMOTETomek approach are employed with the objective of enhancing the accuracy of diabetes classification. The study utilises 2,000 patient data points, comprising demographic and medical information, sourced from Kaggle. The dataset employed in this study…
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Journal Article
SKIN RASH CLASSIFICATION SYSTEM USING MODIFIED DENSENET201 THROUGH RANDOM SEARCH FOR HYPERPARAMETER TUNING
Skin rashes caused by various diseases, such as monkeypox, cowpox, chickenpox, measles, and HFMD, often present similar symptoms, making accurate diagnosis challenging. This study aims to improve the classification of skin diseases through the application of a modified DenseNet-201 architecture…
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Journal Article
EVALUATION OF PARTICLE SWARM ALGORITHM MODIFICATIONS ON SUPPORT VECTOR MACHINE HYPERPARAMETER OPTIMIZATION TUNING FOR RAIN PREDICTION
The Particle Swarm Optimization (PSO) algorithm, though simple and effective, faces challenges like premature convergence and local optima entrapment. Modifications in the PSO structure, particularly in acceleration coefficients ( and ), are proposed to address these issues. Techniques like Time…