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View article: Explainable Ensemble Learning Framework with SMOTE, SHAP and LIME for Predicting 30-Day Readmission in Diabetic Patients
Explainable Ensemble Learning Framework with SMOTE, SHAP and LIME for Predicting 30-Day Readmission in Diabetic Patients Open
Hospital readmission among diabetic patients poses a significant burden on healthcare systems due to its frequency and associated costs. This study presents a machine learning framework for predicting 30-day readmission in diabetic patient…
View article: Hybrid Multi-Objective Metaheuristic Machine Learning for Optimizing Pandemic Growth Prediction
Hybrid Multi-Objective Metaheuristic Machine Learning for Optimizing Pandemic Growth Prediction Open
View article: Analyzing risk factors and handling imbalanced data for predicting stroke risk using machine learning
Analyzing risk factors and handling imbalanced data for predicting stroke risk using machine learning Open
Stroke is a serious medical condition resulting from disturbances in blood flow to the brain, signaling a chronic health issue that requires an immediate response. Principal risk factors increasing the likelihood of stroke include the pres…
View article: Comprehensive Review of Hybrid Feature Selection Methods for Microarray-Based Cancer Detection
Comprehensive Review of Hybrid Feature Selection Methods for Microarray-Based Cancer Detection Open
Microarray data-based cancer detection advances early diagnosis and personalized medicine by utilizing gene expression data to develop comprehensive cancer profiles, measuring thousands of genes simultaneously. However, the inherent high-d…
View article: High Accuracy Data Classification and Feature Selection for Incomplete Information Systems Using Extended Limited Tolerance Relation and Conditional Entropy Approach
High Accuracy Data Classification and Feature Selection for Incomplete Information Systems Using Extended Limited Tolerance Relation and Conditional Entropy Approach Open
Data classification and feature/attribute selection approaches play important role in enabling organizations to extract meaningful insights from vast and complex datasets. Besides, the accuracy and processing time are two parameters of int…
View article: Corrections to “Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review”
Corrections to “Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review” Open
Presents corrections to the paper, (Corrections to “Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review”).
View article: OCADN: Improving Accuracy in Multi-Class Arrhythmia Detection From ECG Signals With a Hyperparameter-Optimized CNN
OCADN: Improving Accuracy in Multi-Class Arrhythmia Detection From ECG Signals With a Hyperparameter-Optimized CNN Open
Arrhythmia, a heart rhythm disorder, remains a serious global health problem due to its potential to cause complications such as stroke and heart failure. Early detection and accurate classification of arrhythmia are crucial for appropriat…
View article: Sample Denoising and Optimization Technique Based on Noise Filtering and Evolutionary Algorithms for Imbalanced Data Classification
Sample Denoising and Optimization Technique Based on Noise Filtering and Evolutionary Algorithms for Imbalanced Data Classification Open
Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level approach or sampling method, through over-sampling…
View article: Analysis of LLMs for educational question classification and generation
Analysis of LLMs for educational question classification and generation Open
Large language models (LLMs) like ChatGPT have shown promise in generating educational content, including questions. This study evaluates the effectiveness of LLMs in classifying and generating educational-type questions. We assessed ChatG…
View article: The Role of Transformational Leadership in Managing Human Resources for Organizational Innovation Case Study in A State Electricity Company
The Role of Transformational Leadership in Managing Human Resources for Organizational Innovation Case Study in A State Electricity Company Open
Transformational leaders provide autonomy and responsibility to employees, allowing them to take initiative and contribute actively to organizational goals. The aim of this research is to understand the role of transformational leadership …
View article: SCL LEAD to Improve quality of Student-Centered Learning Process in the Class of Discrete Mathematics
SCL LEAD to Improve quality of Student-Centered Learning Process in the Class of Discrete Mathematics Open
Semakin banyak mahasiswa yang kurang tertarik pada beberapa mata kuliah di universitas, terutama matematika. Studi ini meneliti dampak pendekatan Student-Centered Learning (SCL) dalam pembelajaran Matematika Diskrit. Kami memperkenalkan me…
View article: An improved method to detect arrhythmia using ensemble learning-based model in multi lead electrocardiogram (ECG)
An improved method to detect arrhythmia using ensemble learning-based model in multi lead electrocardiogram (ECG) Open
Arrhythmia is a life-threatening cardiac condition characterized by irregular heart rhythm. Early and accurate detection is crucial for effective treatment. However, single-lead electrocardiogram (ECG) methods have limited sensitivity and …
View article: Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review
Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review Open
According to the World Health Organization (WHO), some chronic diseases such as diabetes mellitus, stroke, cancer, cardiac vascular, kidney failure, and hypertension are essential for early prevention. One of the prevention that can be tak…
View article: Multi-Temporal Factors to Analyze Indonesian Government Policies regarding Restrictions on Community Activities during COVID-19 Pandemic
Multi-Temporal Factors to Analyze Indonesian Government Policies regarding Restrictions on Community Activities during COVID-19 Pandemic Open
Concerning the implementation of the government policy regarding the Restriction of Community Activities (PPKM) during the COVID-19 pandemic era, there are still discrepancies in the economic sector and population mobility. This issue emer…
View article: Multi-Temporal Factors to Analyze Indonesian Government Policies regarding Restrictions on Community Activities during COVID-19 Pandemic
Multi-Temporal Factors to Analyze Indonesian Government Policies regarding Restrictions on Community Activities during COVID-19 Pandemic Open
Concerning the implementation of the government policy regarding the Restriction of Community Activities (PPKM) during the COVID-19 pandemic era, there are still discrepancies in the economic sector and population mobility. This issue emer…
View article: WaQuPs: A ROS-Integrated Ensemble Learning Model for Precise Water Quality Prediction
WaQuPs: A ROS-Integrated Ensemble Learning Model for Precise Water Quality Prediction Open
Water presents challenges in swiftly and accurately assessing its quality due to its intricate composition, diverse sources, and the emergence of new pollutants. Current research tends to oversimplify water quality, categorizing it as pota…
View article: Review on Neural Question Generation for Education Purposes
Review on Neural Question Generation for Education Purposes Open
Questioning plays a vital role in education, directing knowledge construction and assessing students’ understanding. However, creating high-level questions requires significant creativity and effort. Automatic question generation is expect…
View article: Implementation of CRNN Method for Lung Cancer Detection based on Microarray Data
Implementation of CRNN Method for Lung Cancer Detection based on Microarray Data Open
Lung Cancer is one of the cancer types with the most significant mortality rate, mainly because of the disease's slow detection. Therefore, the early identification of this disease is crucial. However, the primary issue of microarray is th…
View article: Method comparison of Naïve Bayes, Logistic Regression, and SVM for Analyzing Movie Reviews
Method comparison of Naïve Bayes, Logistic Regression, and SVM for Analyzing Movie Reviews Open
A film can be categorized as a successful film based on the reviews given by the critics. The reviews can range from professional critics to public reviews from the general audience. Due to a large number of reviews and opinions on a film,…
View article: Text Classification of Indonesian Translated Hadith Using XGBoost Model and Chi-Square Feature Selection
Text Classification of Indonesian Translated Hadith Using XGBoost Model and Chi-Square Feature Selection Open
Aside from the Holy Qur'an, Hadith is indeed a life guide that every Muslims in this world must follow. The technology for classifying texts and sentences, including categorizing hadiths, is evolving in tandem with the advancement of the t…
View article: The Effects of Daubechies Wavelet Basis Function (DWBF) and Decomposition Level on the Performance of Artificial Intelligence-Based Atrial Fibrillation (AF) Detection Based on Electrocardiogram (ECG) Signals
The Effects of Daubechies Wavelet Basis Function (DWBF) and Decomposition Level on the Performance of Artificial Intelligence-Based Atrial Fibrillation (AF) Detection Based on Electrocardiogram (ECG) Signals Open
This research studies the effects of both Daubechies wavelet basis function (DWBF) and decomposition level (DL) on the performance of detecting atrial fibrillation (AF) based on electrocardiograms (ECGs). ECG signals (consisting of 23 AF d…
View article: Sentiment Analysis on Indonesian Movie Review Using KNN Method With the Implementation of Chi-Square Feature Selection
Sentiment Analysis on Indonesian Movie Review Using KNN Method With the Implementation of Chi-Square Feature Selection Open
The advancement and development of the internet is used by the people to support various sectors, one of which is the film industry. Nowadays, people can easily access various movies from available sites. This convenience had led to many r…
View article: Enhanced Myocardial Infarction Identification in Phonocardiogram Signals Using Segmented Feature Extraction and Transfer Learning-Based Classification
Enhanced Myocardial Infarction Identification in Phonocardiogram Signals Using Segmented Feature Extraction and Transfer Learning-Based Classification Open
Myocardial Infarction (MI), commonly known as a heart attack, is a type of cardiovascular disease characterized by the death of heart muscle cells. This condition occurs due to the blockage of blood vessels around the heart, inhibiting blo…
View article: Data Mining Techniques in Handling Personality Analysis for Ideal Customers
Data Mining Techniques in Handling Personality Analysis for Ideal Customers Open
Background: Personality distinguishes individuals from one another, guides their actions and reactions, and dictates their preferences in many aspects of life, including shopping. Objective: This study determines the characteristics of an …
View article: Sentiment Analysis on Beauty Product Review Using Modified Balanced Random Forest Method and Chi-Square
Sentiment Analysis on Beauty Product Review Using Modified Balanced Random Forest Method and Chi-Square Open
Internet users in Indonesia have used e-commerce services to buy various products. For example, one website that provides information services about women's beauty products is Female Daily. On the website, there are reviews of beauty produ…
View article: Smartphone Purchase Recommendation System Using the K-Nearest Neighbor (KNN) Algorithm
Smartphone Purchase Recommendation System Using the K-Nearest Neighbor (KNN) Algorithm Open
Indonesia is in the fourth position of the countries with the most smartphone users worldwide. Smartphones are needed in today's modern times. Smartphones are also used not only for long-distance communication but also for carrying out dai…
View article: A Multi-label Classification on Topic of Hadith Verses in Indonesian Translation using CART and Bagging
A Multi-label Classification on Topic of Hadith Verses in Indonesian Translation using CART and Bagging Open
Hadith is a source of law for Muslims after the al-qur'an, in which there are instructions in the form of words, actions, attitudes, and others. Hadith must be studied and practiced by Muslims, then used as a way of life after the al-qur'a…
View article: Continuing Disputes and Validity of Voting for the Regent and Deputy Regent of Yalimo Regency in Papua Indonesia
Continuing Disputes and Validity of Voting for the Regent and Deputy Regent of Yalimo Regency in Papua Indonesia Open
This study examines the disputed decisions made by the Constitutional Court of the Republic of Indonesia on the election of the Regent and Deputy Regent of Yalimo Regency, Papua Province, in 2020 that do not adhere to the principle of perm…
View article: Analisis Sentimen terhadap Ulasan Paris Van Java Resort Lifestyle Place di Kota Bandung Menggunakan Algoritma KNN
Analisis Sentimen terhadap Ulasan Paris Van Java Resort Lifestyle Place di Kota Bandung Menggunakan Algoritma KNN Open
As the times move forward, technologies are following to develop with the times, especially internet technology. Nowadays, people can find out information about shopping center via the Internet. One of the best-known shopping centers in Ba…
View article: Forecasting of Sea Level Time Series using RNN and LSTM Case Study in Sunda Strait
Forecasting of Sea Level Time Series using RNN and LSTM Case Study in Sunda Strait Open
Sea-level forecasting is essential for coastal development planning and minimizing their signi?cantconsequences in coastal operations, such as naval engineering and navigation. Conventional sealevel predictions, such as tidal harmonic anal…