Ema Utami
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View article: Graduation Prediction for Prospective University Students using Stacking Ensemble Learning
Graduation Prediction for Prospective University Students using Stacking Ensemble Learning Open
Graduation is a crucial indicator for accreditation and forms an integral part of quality management strategies in higher education institutions. Therefore, early prediction of student graduation is essential to enhance the effectiveness o…
View article: Performance Comparison of Child Stunting Prediction Support Vector Machine vs Random Forest with Grid Search Optimization
Performance Comparison of Child Stunting Prediction Support Vector Machine vs Random Forest with Grid Search Optimization Open
Stunting is a serious global health problem, particularly in developing countries. Its prevalence is high in Indonesia, reaching approximately 24.4% among children under five in 2021. This condition, defined as failure to thrive due to chr…
View article: Hybrid ViT–CNN Model for Automatic Monkeypox Skin Lesion Diagnosis
Hybrid ViT–CNN Model for Automatic Monkeypox Skin Lesion Diagnosis Open
Monkeypox is a re-emerging zoonotic disease that presents with skin lesions resembling other dermatological conditions, which complicates reliable diagnosis. This study introduces a hybrid deep learning framework that integrates Vision Tra…
View article: Deep Learning Neural Dalam Analisis Sentimen : Sebuah Studi Literatur
Deep Learning Neural Dalam Analisis Sentimen : Sebuah Studi Literatur Open
Studi ini memberikan tinjauan mendalam terhadap literatur mengenai penerapan deep learning dalam kategorisasi sentimen. Tujuan utamanya adalah untuk mengumpulkan data statistik terkait penelitian deep learning untuk analisis sentimen dan p…
View article: Prediksi Harga Bitcoin Menggunakan Model Hibrida Transformer Dan Long Short Term Memory
Prediksi Harga Bitcoin Menggunakan Model Hibrida Transformer Dan Long Short Term Memory Open
Peramalan harga Bitcoin merupakan tantangan signifikan akibat fluktuasi pasar yang tinggi, di mana model deret waktu konvensional seringkali gagal menangkap dependensi data jangka pendek dan panjang secara bersamaan. Untuk mengatasi masala…
View article: Deep Learning Models For Youtube Sentiment Analysis: A Comparative Study Of Bert And Gru In Danantara Indonesia
Deep Learning Models For Youtube Sentiment Analysis: A Comparative Study Of Bert And Gru In Danantara Indonesia Open
This study aims to analyse public sentiment toward Danantara Indonesia through YouTube comments and compare the performance of two deep learning models, BERT and GRU, in sentiment classification. The dataset consists of 1,065 comments coll…
View article: Inception-ResNet-V2 The U-Net Encoder for Road Segmentation using Sentinel 2A
Inception-ResNet-V2 The U-Net Encoder for Road Segmentation using Sentinel 2A Open
Updating road network maps is essential for transportation services, as incomplete or inaccurate maps can lead to inefficiencies and diminish service quality. The online transportation industry generates vast amounts of GPS data as drivers…
View article: Enhancing Deepfake Video Quality Using Image Recognition Technology on Random Videos
Enhancing Deepfake Video Quality Using Image Recognition Technology on Random Videos Open
This study aims to enhance the visual quality of deepfake videos by utilizing image recognition technology integrated with DeepFaceLab and DeepFaceLive software. Using an experimental approach with exploratory and quantitative characterist…
View article: Insights into the Emotion Classification of Artificial Intelligence: Evolution, Application, and Obstacles of Emotion Classification
Insights into the Emotion Classification of Artificial Intelligence: Evolution, Application, and Obstacles of Emotion Classification Open
In this systematic literature review, we examined the integration of emotional intelligence into artificial intelligence (AI) systems, focusing on advancements, challenges, and opportunities in emotion classification technologies. Accurate…
View article: ANALYSIS OF DIGITAL IMAGE RECOGNITION OF INDONESIAN SIGN LANGUAGE USING THE DEEP LEARNING CNN ARCHITECTURE VGG19 METHOD
ANALYSIS OF DIGITAL IMAGE RECOGNITION OF INDONESIAN SIGN LANGUAGE USING THE DEEP LEARNING CNN ARCHITECTURE VGG19 METHOD Open
This study examines the application of the CNN method with the VGG19 architecture for digital image analysis in recognizing Indonesian sign language. The data used in this study is the BISINDO data set type, with 8,814 samples divided into…
View article: PERBANDINGAN ALGORITMA SVM DAN RANDOM FOREST PADA KLASIFIKASI KESEHATAH MENTAL BERDASARKAN SLEEP DISORDERS
PERBANDINGAN ALGORITMA SVM DAN RANDOM FOREST PADA KLASIFIKASI KESEHATAH MENTAL BERDASARKAN SLEEP DISORDERS Open
View article: EVALUATING REGRESSION AND NEURAL NETWORKS FOR FIVE TRAIT TEXT-BASED PERSONALITY PREDICTION
EVALUATING REGRESSION AND NEURAL NETWORKS FOR FIVE TRAIT TEXT-BASED PERSONALITY PREDICTION Open
The aim of this study is to evaluate the effectiveness of several predictive modeling techniques in mapping the five major personality traits (extraversion, neuroticism, agreeableness, conscientiousness, and openness) from text-based data.…
View article: Advancements and Challenges in Financial Forecasting Models: A Systematic Literature Review
Advancements and Challenges in Financial Forecasting Models: A Systematic Literature Review Open
This systematic literature review examines the progress and challenges in financial forecasting, focusing on the integration of machine learning and traditional econometric methods. As markets grow more volatile, forecasting demands models…
View article: Simple Selection Index (SSI) Method in Electric Vehicle Selection for Logistics Companies
Simple Selection Index (SSI) Method in Electric Vehicle Selection for Logistics Companies Open
The rapid development of electric vehicles (EVs) has encouraged various industrial sectors, including logistics, to transition from fossil fuel-based vehicles to more environmentally friendly solutions. While EVs offer advantages such as e…
View article: DiG-MFV: Dual-integrated Graph for Multilingual Fact Verification
DiG-MFV: Dual-integrated Graph for Multilingual Fact Verification Open
The proliferation of misinformation in political domains, especially across multilingual platforms, presents a major challenge to maintaining public information integrity. Existing models often fail to effectively verify claims when the ev…
View article: Prototipe Sistem Alarm dan Monitoring Jadwal Pengambilan Obat Berbasis Internet Of Thing untuk Pasien Lansia
Prototipe Sistem Alarm dan Monitoring Jadwal Pengambilan Obat Berbasis Internet Of Thing untuk Pasien Lansia Open
Dengan meningkatnya jumlah lansia yang hidup sendirian, penting untuk menciptakan solusi yang dapat membantu mereka dalam mengingat jadwal waktu minum obat guna mencegah potensi masalah kesehatan. Kesehatan mereka sangat tergantung pada ke…
View article: PENINGKATAN RESOLUSI VIDEO MUSIK LAWAS INDONESIA MENGGUNAKAN REAL ESRGAN X4PLUS
PENINGKATAN RESOLUSI VIDEO MUSIK LAWAS INDONESIA MENGGUNAKAN REAL ESRGAN X4PLUS Open
Video musik Indonesia lawas yang diproduksi pada era VCD umumnya memiliki kualitas visual rendah dan degradasi artefak yang signifikan. Penelitian ini mengevaluasi efektivitas model Real?ESRGAN?X4plus dalam meningkatkan resolusi video-vide…
View article: Evaluating YOLOv8-Based Distance Estimation: A Comparison of OpenCV and Coordinate Attention Weighting in Blind Navigation Systems
Evaluating YOLOv8-Based Distance Estimation: A Comparison of OpenCV and Coordinate Attention Weighting in Blind Navigation Systems Open
Background: Recent developments in assistive technologies for the visually impaired have increasingly utilized computer vision techniques for real-time distance estimation. However, challenges remain in balancing accuracy, latency, and rob…
View article: The Influence of Workload and Physical Work Environment as Predictors of Work Stress among Employees at the Salatiga City Education Office
The Influence of Workload and Physical Work Environment as Predictors of Work Stress among Employees at the Salatiga City Education Office Open
Work stress is a condition of tension that affects emotions, thought processes, and physical condition in the work environment. The purpose of this study was to examine workload and physical work environment simultaneously as predictors of…
View article: Feature Selection Optimization using Binary Particle Swarm Optimization in Smartphone-based Real Human Activity Recognition
Feature Selection Optimization using Binary Particle Swarm Optimization in Smartphone-based Real Human Activity Recognition Open
Feature selection is a critical step in enhancing the accuracy and efficiency of machine learning models, particularly in the field of human activity recognition (HAR) using smartphone sensor data. This research explores the use of Binary …
View article: Leveraging Vector Quantized Variational Autoencoder for Accurate Synthetic Data Generation in Multivariate Time Series
Leveraging Vector Quantized Variational Autoencoder for Accurate Synthetic Data Generation in Multivariate Time Series Open
This study addresses the challenge of generating high-quality synthetic financial time series data, acritical issue in financial forecasting due to limited access to complete and reliable historical datasets.The aim of this research was to…
View article: Cosine Similarity-Based Evidences Selection for Fact Verification Using SBERT on the FEVER Dataset
Cosine Similarity-Based Evidences Selection for Fact Verification Using SBERT on the FEVER Dataset Open
The spread of misinformation on digital platforms has emphasized the urgent need for automated fact verification systems. However, selecting the most semantically relevant evidence to support or refute a claim remains a challenge, especial…
View article: Evaluation of E-Learning Usability Based on ISO 25010 with Hofstede's Cultural Dimensions as Moderation: A PLS-SEM Study in Higher Education
Evaluation of E-Learning Usability Based on ISO 25010 with Hofstede's Cultural Dimensions as Moderation: A PLS-SEM Study in Higher Education Open
Although e-learning has rapidly advanced in higher education, many platforms still fall short of meeting user needs due to a lack of integration between usability and cultural dimensions. This study explores how usability influences user s…
View article: Hybrid Recommendation System in E-Commerce
Hybrid Recommendation System in E-Commerce Open
This study explores hybrid recommendation systems in e-commerce, which combine content-based and collaborative filtering to overcome limitations such as cold-start and data sparsity. Through a Systematic Literature Review of 15 selected pa…
View article: Applying Artificial Intelligence Technology to Web-Based School Management System Administrative Task Automation
Applying Artificial Intelligence Technology to Web-Based School Management System Administrative Task Automation Open
This research systematically reviews the use of Artificial Intelligence (AI) to automate administrative tasks in web-based school management systems, analyzing 15 articles. It identifies key AI modalities such as machine learning for sched…
View article: Comparative analysis of YOLOv8 techniques: OpenCV and coordinate attention weighting for distance perception in blind navigation systems
Comparative analysis of YOLOv8 techniques: OpenCV and coordinate attention weighting for distance perception in blind navigation systems Open
Blindness is a very important issue to consider in research aimed at assisting vision. This condition requires further study to provide solutions for the blind. This study evaluates and compares the effectiveness of the you only look once …
View article: Improving Infant Cry Recognition Using MFCC And CNN-Based Audio Augmentation
Improving Infant Cry Recognition Using MFCC And CNN-Based Audio Augmentation Open
Recognizing infant cries is essential for understanding a baby's needs; however, previous research has struggled with imbalanced datasets and limited feature extraction techniques. Conventional methods utilizing CNN without data augmentati…
View article: Tuberculosis Diagnosis From X-Ray Images Using Deep Learning And Contrast Enhancement Techniques
Tuberculosis Diagnosis From X-Ray Images Using Deep Learning And Contrast Enhancement Techniques Open
Tuberculosis (TB) is an infectious disease that poses a global health threat. Early diagnosis through chest X-ray (CXR) imaging is effective in reducing transmission and improving patient recovery rates. However, the limited number of radi…
View article: Object Detection using YOLOv8 : A Systematic Review
Object Detection using YOLOv8 : A Systematic Review Open
This study is a Systematic Literature Review (SLR) that comprehensively reviews the recent advances in YOLOv8-based object detection models and their implementations in various application fields, such as UAV aerial photography, fruit ripe…
View article: Deteksi Penyakit Gigi dan Mulut Menggunakan Algoritma Inception-V3 Detection of Dental and Oral Diseases Using Inception-V3
Deteksi Penyakit Gigi dan Mulut Menggunakan Algoritma Inception-V3 Detection of Dental and Oral Diseases Using Inception-V3 Open
Kesehatan gigi dan mulut sangat penting bagi kesejahteraan umum, namun banyak orang mengabaikan pengobatan karena kurangnya kesadaran atau tantangan diagnostik. Metode diagnostik tradisional sering kali kurang akurat dan efisien. Penelitia…