Hairani Hairani

Improvement Performance of the Random Forest Method on Unbalanced Diabetes Data Classification Using Smote-Tomek Link

Hairani Hairani, Anthony Anggrawan, Dadang Priyanto · JOIV International Journal on Informatics Visualization · 2023 · 55 citations · Full text

Engineering, Diagnosis, Improvement Performance +18

K-means-SMOTE for handling class imbalance in the classification of diabetes with C4.5, SVM, and naive Bayes

Hairani Hairani, Khurniawan Eko Saputro, Sofiansyah Fadli · Jurnal Teknologi dan Sistem Komputer · 2020 · 39 citations · Full text

Engineering, Diagnosis, Mining Methods +19

A New Approach of Hybrid Sampling SMOTE and ENN to the Accuracy of Machine Learning Methods on Unbalanced Diabetes Disease Data

Hairani Hairani, Dadang Priyanto · International Journal of Advanced Computer Science and Applications · 2023 · 29 citations · Full text

Engineering, Machine Learning, Diagnosis +23

Addressing Class Imbalance of Health Data: A Systematic Literature Review on Modified Synthetic Minority Oversampling Technique (SMOTE) Strategies

Hairani Hairani, Triyanna Widiyaningtyas, Didik Dwi Prasetya · JOIV International Journal on Informatics Visualization · 2024 · 28 citations · Full text

Search Optimization, Engineering, Health Disparities +22

The Abstract of Thesis Classifier by Using Naive Bayes Method

Hairani Hairani, Anthony Anggrawan, Ahmad Islahul Wathan et al. · 2021 · 23 citations