Perbandingan Kinerja Metode Pemelajaran Mesin Dalam Mengklasifikasi dan Memprediksi Pelanggan Churn Dan Loyal Di Aplikasi Indosat Imkas Dan Pede = Comparison Of The Performance Of Machine Learning Methods In In Classifying And Predicting Churn And Loyal Customers In The Indosat Imkas And Pede Applications

Pengembangan Model-Based Feature Selection untuk Peningkatan Akurasi Sistem Deteksi dan Peringatan Serangan berbasis Machine Learning pada Jaringan Internet = The Development of Model-Based Feature Selection to Improve System's Detection Accuracy and Machine Learning-based Attack Warning System

Algoritma Pengolahan Sinyal Photoplethysmography (PPG) Berbasis Ekstraksi Fitur dan Machine Learning untuk Sistem Pengukuran Tekanan Darah Noninvasif = Photoplethysmography (PPG) Signal Processing Algorithm Based on Feature Extraction and Machine Learning for Noninvasive Blood Pressure Measurement System

Evaluasi Klasifikasi Hubungan Kuantitatif Struktur Aktivitas Molekul dengan Model Hybrid Deep Learning dan Pemilihan Fitur Recursive Feature Elimination pada Inhibitor Dipeptidyl Peptidase-4 = Evaluation of the Classification in Quantitative Structures Activity Relationships of Molecular with Hybrid Deep Learning Models and Selection Features of Recursive Feature Elimination in Dipeptidyl Peptidase-4 Inhibitors

Penerapan Model Deep Learning MobileNet Menggunakan Raspberry Pi untuk Klasifikasi Mata Tertutup dan Terbuka bagi Pengendara Mobil = Application of Deep Learning Model MobileNet using Raspberry Pi for Classifying Car Driver’s Eye State