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

Rancang Bangun Sistem Pendeteksi Komponen Struk Belanja Menggunakan Algoritma Deep Learning YOLOv5, Faster R-CNN, dan RetinaNet = Development of a Shopping Receipt Component Detection System using the Deep Learning YOLOv5 Algorithm, Faster R-CNN, and RetinaNet

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

Classification of TIG Welding Result Using CNN/Deep Learning Methods of YOLOv5 and ResNet50 to Determine a Successful or Failed Weld = Klasifikasi Hasil Pengelasan TIG Menggunakan Metode CNN/Deep Learning YOLOv5 dan ResNet50 untuk Menentukan Pengelasan Berhasil atau Gagal

KLASIFIKASI TINDAK PIDANA BERDASARKAN FAKTA PADA DOKUMEN PUTUSAN PENGADILAN DENGAN MODEL DEEP LEARNING = Criminal Offense Classification Based on Facts in Court Decision Documents with Deep Learning Models