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

Aplikasi Diagnosis Lesi Kulit Otomatis dengan Menggunakan Transfer Learning Arsitektur EfficientNet = Automatic Skin Lesion Diagnosis Application Using EfficientNet Architecture via Transfer Learning

Perbandingan Model Transfer Learning pada Klasifikasi Citra Ikan Menggunakan InceptionV3 dan EfficientNetV2L = Comparison of Transfer Learning Models on Fish Image Classification Using InceptionV3 and EfficientNetV2L

Imputasi Missing Values menggunakan algoritma Hybrid Fuzzy CMeans dan Majority Vote untuk Klasifikasi Data Penyakit Paru Obstruktif Kronik (PPOK) = Missing Values Imputation using Hybrid Fuzzy C-Means and Majority Vote Algorithm for Chronic Obstructive Pulmonary Disease (COPD) Data Classification

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