eprintid: 78918
rev_number: 10
eprint_status: archive
userid: 12243
dir: disk0/00/07/89/18
datestamp: 2026-10-09 02:46:32
lastmod: 2026-10-09 02:46:32
status_changed: 2026-10-09 02:46:32
type: thesis
metadata_visibility: show
contact_email: muchti.nurhidaya@uin-suka.ac.id
creators_name: Hernadhif Rafif Wiryawan, NIM.: 22106050023
title: KLASIFIKASI PENYAKIT PNEUMONIA DENGAN MODEL FUSI CITRA MULTIMODAL MENGGUNAKAN PENDEKATAN DEMPSTER-SHAFER THEORY
ispublished: pub
subjects: 004.
divisions: Informatika(S1)
full_text_status: public
keywords: pneumonia; multimodal imaging; evidential neural network;  Demspter-Shafer Theory
note: Dr. Siti Mutmainah, S.Kom, M.Cs.
abstract: 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
date: 2026-07-07
date_type: published
pages: 60
institution: UIN SUNAN KALIJAGA YOGYAKARTA
department: FAKULTAS SAINS DAN TEKNOLOGI
thesis_type: skripsi
thesis_name: other
citation:   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.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/78918/1/22106050023_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/78918/2/22106050023_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf