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

Pengembangan Sistem Penilaian Esai Otomatis (SIMPLE-O) untuk penilaian esai bahasa jepang dengan menggunakan hybrid CNN-Bidirectional LSTM dan Manhattan Distance = Development of Automated Essay Grading System (SIMPLE-O) for Japanese essay exam with hybrid deep learning CNN-Bidirectional LSTM and Manhattan Distance

Pengembangan Sistem Penilaian Esai Otomatis (SIMPLE-O) untuk Penilaian Esai Bahasa Indonesia dengan Menggunakan Hybrid CNN Bi-LSTM Manhattan Distance dan Cosine Similarity = The Development of Automatic Essay Scoring (SIMPLE-O) for Indonesia Essay Assessment with Hybrid CNN Bi-LSTM using Manhattan Distance and Cosine Similarity

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