A Classification of Appendicitis Disease in Children Using SVM with KNN Imputation and SMOTE Approach

D Fitria, TH Saragih, D Kartini, F Indriani - Journal of Electronics …, 2024 - jeeemi.org
This study evaluates the effect of SMOTE and KNN imputation techniques on the
performance of SVM classification models on a nearly balanced dataset. The results show …

Analysis of Important Features in Software Defect Prediction using Synthetic Minority Oversampling Techniques (SMOTE), Recursive Feature Elimination (RFE) and …

H Ghinaya, R Herteno, MR Faisal, A Farmadi… - Journal of Electronics …, 2024 - jeeemi.org
Abstract Software Defect Prediction (SDP) is essential for improving software quality during
testing. As software systems grow more complex, accurately predicting defects becomes …

A Comparative Study: Application of Principal Component Analysis and Recursive Feature Elimination in Machine Learning for Stroke Prediction

AS Hermiati, R Herteno, F Indriani, TH Saragih… - Journal of Electronics …, 2024 - jeeemi.org
Stroke is a disease that occurs in the brain and can cause both vocal and global brain
dysfunction. Stroke research mainly aims to predict risk and mortality. Machine learning can …

Impact of a Synthetic Data Vault for Imbalanced Class in Cross-Project Defect Prediction

P Nabella, R Herteno, SW Saputro, MR Faisal… - Journal of Electronics …, 2024 - jeeemi.org
Abstract Software Defect Prediction (SDP) is crucial for ensuring software quality. However,
class imbalance (CI) poses a significant challenge in predictive modeling. This study delves …

METODE RANDOM FOREST UNTUK MEMUDAHKAN KLASIFIKASI DIAGNOSIS PENYAKIT MENTAL

A Priyono, M Shodiq, DP Alvinsyah… - … Informatika Medis (J …, 2024 - ejournal.ummuba.ac.id
Mental health is important in the development of every individual. A bad mentality can
prevent a person from developing, making a person easily stressed, hopeless, and even …