http://digilib.uin-suka.ac.id/id/eprint/78918 2026-10-09T02:46:32Z info:eu-repo/semantics/descriptiveMetadata https://digilib.uin-suka.ac.id/id/eprint/78918/ KLASIFIKASI PENYAKIT PNEUMONIA DENGAN MODEL FUSI CITRA MULTIMODAL MENGGUNAKAN PENDEKATAN DEMPSTER-SHAFER THEORY Hernadhif Rafif Wiryawan, NIM.: 22106050023 004 Pemrosesan Data, Ilmu Komputer, Teknik Informatika Pneumonia is a lung infection that ranks among the leading causes of death in children under five, with mortality rates continuing to rise as children get older. This study proposes a pneumonia classification model based on multimodal imaging that integrates an Evidential Neural Network (ENN) based on the Dempster-Shafer Theory (DST) framework. The model was built through five main stages: data collection, preprocessing, feature extraction using ResNet-34, followed by training the ENN model independently for each modality, and concluding with the combination of mass functions using Dempster’s rule of combination. Model evaluation was conducted using the 2026-07-07 Thesis NonPeerReviewed text id https://digilib.uin-suka.ac.id/id/eprint/78918/1/22106050023_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf text id https://digilib.uin-suka.ac.id/id/eprint/78918/2/22106050023_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf Hernadhif Rafif Wiryawan, NIM.: 22106050023 (2026) KLASIFIKASI PENYAKIT PNEUMONIA DENGAN MODEL FUSI CITRA MULTIMODAL MENGGUNAKAN PENDEKATAN DEMPSTER-SHAFER THEORY. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA. info:eu-repo/semantics/objectFile info:eu-repo/semantics/objectFile info:eu-repo/semantics/humanStartPage