Pendekatan semi-supervised learning menggunakan k-means clustering dan naive bayes classifier dalam mengklasifikasi kinerja mahasiswa studi kasus: mahasiswa tahun pertama Departemen Matematika = A Semi-Supervised Learning Approach using K-Means Clustering and Naive Bayes Classifier for Classification of Students Performance: First-Year Students of Mathematics Department Case Study / Nur Fitriani

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

Automobile insurance fraud detection using supervised learning classifiers = Deteksi kecurangan pada asuransi kendaraan bermotor dengan supervised learning classifiers.

Segmentasi Citra Sel Serviks menggunakan Algoritma Multifraktal dengan Adaptive Multiple Thresholding dan Klasifikasi menggunakan Learning Vector Quantization = Segmentation of Cervical Cell Images Using Multifactal Algorithm with Adaptive Multiple Thresholding and Classification Using Learning Vector Quantization

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