Segmentasi Pengguna Halodoc Berdasarkan Status Sosial Menggunakan Data Mining Dengan Algoritma K-Prototypes Clustering = Halodoc's Consumer Segmentation Based on Social Status Using Data Mining Techniques with K-Prototypes Clustering Algorithm

Analisis Pengelompokan Negara-Negara Berdasarkan Indikator Objektif Kualitas Hidup Menggunakan Algoritma K-prototypes dan Two Step Cluster (TSC) = K-prototypes and Two Step Cluster (TSC) Algorithm for Clustering Countries Based on The Objective Indicators of Quality of Life

Perbandingan metode Naïve Bayes dan Support Vector Machine dengan seleksi fitur grey wolf optimization untuk klasifikasi data kanker serviks = Comparison of Naïve Bayes and Support Vector Machine with grey wolf optimization feature selection for cervical cancer data classification

Deteksi penyakit kanker paru-paru berdasarkan data microarray dengan seleksi fitur Support Vector Machine-Recursive Feature Elimination (SVM-RFE) = Detection of lung cancer based on microarray data using feature selection Support Vector Machine-Recursive Feature Elimination (SVM-RFE)

Clustering Varian Sekuens Protein SARS-CoV-2 Menggunakan Algoritma BIRCH dengan Seleksi Fitur LASSO = Clustering of SARS-CoV-2 Protein Sequence Variants Using BIRCH Algorithm with LASSO Feature Selection