eprintid: 67440
rev_number: 10
eprint_status: archive
userid: 12460
dir: disk0/00/06/74/40
datestamp: 2024-10-02 06:32:28
lastmod: 2024-10-02 06:32:28
status_changed: 2024-10-02 06:32:28
type: thesis
metadata_visibility: show
contact_email: muh.khabib@uin-suka.ac.id
creators_name: Irma Eryanti Putri, NIM.: 22206052007
title: MODEL ENSEMBEL CONVOLUTIONAL NEURAL NETWORK (CNN) MENGGUNAKAN RANDOM SEARCH UNTUK DETEKSIPNEUMONIA BERDASARKAN CHEST X-RAY
ispublished: pub
subjects: 004.
divisions: S2_inf
full_text_status: restricted
keywords: CNN, ResNet50, MobileNetV2, DenseNet169, Xception,
InceptionV3 dan EfficientNetB0, Ensembel, Random Search
note: Pembimbing: Prof. Dr. Ir. Shofwatul 'Uyun, S.T., M.Kom., IPM., ASEAN Eng.
abstract: Pneumonia is an infection caused by bacteria, viruses and fungi
in the air sacs in the lungs, which can cause disorders such as coughing up
phlegm, fever, chills, nausea, vomiting, fatigue and shortness of breath. If
pneumonia is not treated quickly and appropriately it can result in death,
therefore early detection of pneumonia is a solution to prevent pneumonia.
This research detects pneumonia from Chest X-ray data with an ensemble
of Convolutional Neural Network (CNN) models such as ResNet50,
MobileNetV2, DenseNet169, To detect pneumonia, this research has
several stages, namely collecting Chest The results of pneumonia detection
with the Ensemble CNN model using Random Search on the Chest X-ray
dataset obtained training accuracy of 0.92%, testing accuracy of 0.92% and
validation accuracy of 0.93%. Evaluation of the Confusion Matrix
Ensemble CNN model using Random Search obtained an accuracy of
0.94%, recall of 1.00%, precision of 0.89% and f1-score of 0.94%.
date: 2024-08-23
date_type: published
pages: 136
institution: UIN SUNAN KALIJAGA YOGYAKARTA
department: FAKULTAS SAINS DAN TEKNOLOGI
thesis_type: masters
thesis_name: other
citation:   Irma Eryanti Putri, NIM.: 22206052007  (2024) MODEL ENSEMBEL CONVOLUTIONAL NEURAL NETWORK (CNN) MENGGUNAKAN RANDOM SEARCH UNTUK DETEKSIPNEUMONIA BERDASARKAN CHEST X-RAY.  Masters thesis, UIN SUNAN KALIJAGA YOGYAKARTA.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/67440/1/22206052007_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/67440/2/22206052007_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf