Pengembangan dan Analisis Metode Hybrid Deep Learning (CNN-MLP dan CNN-LSTM) untuk Peningkatan Akurasi Deteksi Serangan Man In The Middle (MitM) = Development and Analysis of Hybrid Deep Learning (CNN-MLP and CNN-LSTM) Methods to Improve Man in the Middle Detection Accuracy

Hibrida Model BERT dan Deep Learning untuk Analisis Sentimen Bahasa Indonesia - Studi Kasus Sentimen Pengguna Media Sosial terkait Pilpres 2024 = The Hybrid of BERT and Deep Learning Models for Indonesian Sentiment Analysis - A Case Study of Social Media User Sentiments Regarding the 2024 Indonesia Presidential Election

Deep Learning Dengan Model Concatenater untuk Mendeteksi Penyakit Paru-Paru Covid-19 dengan Gambar CT Scan = Deep Learning with Concatenate Model to Detect Covid-19 Lung Disease with CT Scan Images

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

Text Classification untuk Verifikasi Fakta pada Kanal Berita Bahasa Indonesia menggunakan Deep Learning dengan Ensemble Technique = Text Classification for Fact Verification for Indonesian News Channel Using Deep Learning with Ensemble Technique