Identifikasi Target, Kategori, dan Level Ujaran Kebencian pada Data Twitter Berbahasa Daerah Menggunakan Classical Machine Learning dan Deep Learning = Identification of Target, Category, and Level of Hate Speech from Regional Language on Twitter Data Using Classical Machine Learning and Deep Learning

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

Segmentasi Banjir Daerah Urban di Indonesia dengan Teknik Deep Learning dan Pendekatan Semi-Supervised Learning = Flood Segmentation in Urban Region with Deep Learning Method and Semi-Supervised Approach

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

Kajian Spasiotemporal Perubahan Lahan Sawah Di Kabupaten Indramayu Berdasarkan Hasil Penggunaan Algoritma Deep Learning Pada Data Deret Waktu Sentinel-1 = Spatiotemporal Study of Changes in Rice Fields Area in Indramayu Regency Based on the Application of Deep Learning Algorithms on Sentinel-1 Time Series Data