Ema Utami
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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: 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: 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: 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: Enhanced Heart Disease Diagnosis Using Machine Learning Algorithms: A Comparison of Feature Selection
Enhanced Heart Disease Diagnosis Using Machine Learning Algorithms: A Comparison of Feature Selection Open
Heart disease or cardiovascular disease is one of the leading causes of death in the world. Based on WHO data, in 2019, as many as 17.9 million people died from cardiovascular disease. If early prevention is not carried out immediately, of…
View article: Design of Automatic Feeder with Adjustable Temperature, PH, and Weather for Catfish
Design of Automatic Feeder with Adjustable Temperature, PH, and Weather for Catfish Open
This study aims to identify the presence of Methicillin-Resistant Staphylococcus aureus (MRSA) among healthcare workers in the Intensive Care Unit (ICU) of Dr. J.H. Awaloei Hospital in Manado. The research employed a descriptive observatio…
View article: YOLOv8-Based Distance Estimation for Blind Navigation: Performance Comparison of OpenCV and Coordinate Attention Techniques
YOLOv8-Based Distance Estimation for Blind Navigation: Performance Comparison of OpenCV and Coordinate Attention Techniques Open
Blindness presents a significant challenge in the development of assistive technologies, particularly for navigation, as it requires accurate distance perception to enable effective mobility for the visually impaired. The research addresse…
View article: EVALUATING POST-DIVORCE WOMEN'S AND CHILDREN'S RIGHTS FUNDING APPLICATION USING OWASP TOP TEN AND ISO 25010:2023
EVALUATING POST-DIVORCE WOMEN'S AND CHILDREN'S RIGHTS FUNDING APPLICATION USING OWASP TOP TEN AND ISO 25010:2023 Open
Evaluating an information system from both performance and security aspects is crucial for anticipating and improving the quality of the information system. A High Religious Court in collaboration with the Provincial Government developed a…
View article: Object Detection with YOLOv8 and Enhanced Distance Estimation Using OpenCV for Visually Impaired Accessibility
Object Detection with YOLOv8 and Enhanced Distance Estimation Using OpenCV for Visually Impaired Accessibility Open
Accessibility challenges for the visually impaired are getting more serious yearly. To address this issue, this study presents an advanced object detection system that utilizes YOLOv8, enhanced with OpenCV for distance estimation. The meth…
View article: Traffic Violation Clustering Using K-Medoids and Word Cloud Visualization
Traffic Violation Clustering Using K-Medoids and Word Cloud Visualization Open
Traffic is the space for people to move around, including both drivers and pedestrians. According to data from the Central Statistics Agency in 2020, the number of motor vehicles in Makassar City was recorded by type: 248,682 passenger car…
View article: Analysis for Detecting Banana Leaf Disease Using the CNN Method
Analysis for Detecting Banana Leaf Disease Using the CNN Method Open
Banana farmers face major challenges due to banana leaf diseases such as Cordana, Pestalotiopsis and Sigatoka, which severely affect the quality and quantity of the crop. Early detection of these diseases is particularly challenging as the…
View article: A Blending Ensemble Approach to Predicting Student Dropout in Massive Open Online Courses (MOOCs)
A Blending Ensemble Approach to Predicting Student Dropout in Massive Open Online Courses (MOOCs) Open
The problem faced in the implementation of Massive Open Online Course (MOOC) is the high dropout rate (DO) reaching 90% which exceeds the formal school dropout rate. Preventive action needs to be taken to minimize the impact on MOOCs, inst…
View article: Performance Comparison of ResNet50, VGG16, and MobileNetV2 for Brain Tumor Classification on MRI Images
Performance Comparison of ResNet50, VGG16, and MobileNetV2 for Brain Tumor Classification on MRI Images Open
Brain tumor classification using MRI images is a significant challenge in medical diagnosis, requiring models with high accuracy and efficient training. This study aims to compare the performance of three Convolutional Neural Network (CNN)…
View article: Predicting Students' Academic Performance in Mathematics based on Big Five Personality Traits using Random Forest with Synthetic Minority Over-Sampling Technique
Predicting Students' Academic Performance in Mathematics based on Big Five Personality Traits using Random Forest with Synthetic Minority Over-Sampling Technique Open
The secondary school period is a crucial time for the development of students' academic and social performance. Educational data mining (EDM) has emerged as a strategic method capable of exploring patterns in educational data to predict ac…
View article: Application of Word2Vec and LSTM Models in Sentiment Analysis of Mobile Legends User Reviews
Application of Word2Vec and LSTM Models in Sentiment Analysis of Mobile Legends User Reviews Open
Sentiment analysis has become an important aspect of understanding user opinions regarding a product or service, including in the gaming industry. This study implements a combination of Word2Vec and Long Short-Term Memory (LSTM) models to …