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Analysis of Pneumonia on Chest X-Ray Images Using Convolutional Neural Network Model iResNet-RS Chandranegara, Didih Rizki; Vitanti, Vizza Dwi; Suharso, Wildan; Wibowo, Hardianto; Arifianto, Sofyan
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.1728

Abstract

Pneumonia, a prevalent inflammatory condition affecting lung tissue, poses a significant health threat across all age groups and remains a leading cause of infectious mortality among children worldwide. Early diagnosis is critical in preventing severe complications and potential fatality. Chest X-rays are a valuable diagnostic tool for pneumonia; however, their interpretation can be challenging due to unclear images, overlapping diagnoses, and various abnormalities. Consequently, expedient, and accurate analysis of medical images using computer-aided methods has become crucial. This research proposes a Convolutional Neural Network (CNN) model, specifically the ResNet-RS Model, to automate pneumonia identification. The Contrast Limited Adaptive Histogram Equalization (CLAHE) technique enhances image contrast and highlights abnormalities in pneumonia images. Additionally, data augmentation techniques are applied to expand the image dataset while preserving the intrinsic characteristics of the original images. The proposed methodology is evaluated through three testing scenarios, employing chest X-ray images and pneumonia dataset. The third testing scenario, which incorporates the ResNet-RS model, CLAHE preprocessing, and data augmentation, achieves superior performance among these scenarios. The results show an accuracy of 92% and a training loss of 0.0526. Moreover, this approach effectively mitigates overfitting, a common challenge in deep learning models. By leveraging the power of the ResNet-RS model, along with CLAHE preprocessing and data augmentation techniques, this research demonstrates a promising methodology for accurately detecting pneumonia in chest X-ray images. Such advancements contribute to the early diagnosis and timely treatment of pneumonia, ultimately improving patient outcomes and reducing mortality rates.
Application of the Heart Metrics Method in Analyzing User Experience on the Rayz UMM Website Wildan Suharso; Briansyah Setio Wiyono; Firman Firman
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 10 No. 2 (2025)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v10i2.482

Abstract

The Rayz UMM Hotel website serves as the primary medium for conveying information about services and facilities, but so far, the quality of the user experience (UX) on the website has not been studied in depth. Based on the initial questionnaire results, there were also several negative responses that indicated dissatisfaction with the aspects of Happiness and Adoption. Therefore, a comprehensive UX evaluation is needed. This study uses the HEART Framework method, which covers five aspects, namely Happiness, Engagement, Adoption, Retention, and Task Success. The research instrument is a questionnaire with 20 questions distributed to website users, which is then analyzed through validity and reliability tests, hypothesis testing, and measurement of the level of usability. The results show that the variables of Happiness and Task Success are in the very high category, Retention is in the very high category, while Engagement and Adoption are in the very high category. These findings confirm that the Hotel Rayz UMM website has generally been able to provide a fairly good user experience, but still needs development in terms of navigation and system performance in order to optimize UX quality.
Co-Authors Abdullah Faqih Septiyanto Abims Fardiansa Abu Hanifah Achmadi, Taufan Reza Adam Pamungkas Ramadhan Ageng Widjaya Saputra Agus Eko Minarno Ahmad Ridhani Aini Alifatin Akbi, Denar Regata Andi Mochlis Rachmanu Andriyani, Vivi Anhar Anisatu Thoyyibah Ardiansyah, Frendy Ardiansyah Arif Rahmadhani Aristy Indana Arrasyid, Muhammad Zidan Ashari, Anzilludin Avola, Ahmad Tiova Ian Az-Zahra, Feisyah Azmi, Fawwaz A’yun, Ainul Fithrotul Bagaskara, Andhika Dwija Bashor Fauzan Muthohirin Benny Indriawan Priatmaja Brima Helpiono Catur Rahmadani Nuari Chandranegara, Didih Rizki Christian Sri Kusuma Aditya Damar Arya Pradhipta Dani Harmanto Dani Harmanto Darfian Ardiansyah Darmawan, Gilang Dwi Daroe Iswatiningsih Dewantoro, Muhammad Bagas Dharma Surya Pradana Dini Kurniawati Dwi Anggraini Puspita Rahayu Ekanita Rakhmah Eko Budi Cahyono Evi Dwi Wahyuni Fachrunnisa Firdausi Fahmi Dwi Arianto Arianto Faridho Fajar Rozaqi Fathoni, Muhammad Asrar Fathony, Izza Ihsan Fidiyanto, Akhsanul Fiqri Abdillah Firdausi, Fachrunnisa Firman Firman Firmansyah, Tino Fitri Bimantoro Frendy Ardiansyah Ardiansyah Gita Indah Marthasari Gita Marthasari Hanif, Lathifah Hardianto Wibowo Harmanto, Dani Heni Pujiastuti herlambang, pandu Hermawan, Mohammad Luthfi Hussin Agung Wijaya Ika Winda Kusumawardani Imron, Moch Jahtra Hidayatullah Jonathan, Sendy Karyati, Rina Khasanah, Rahayu Nurul Kiki Ratna Sari L. Yasril Imam LAILATUL FITRIAH Lailatul Hasanah Lailatul Husniah Lailis Syafa'ah Lathifah Hanif Lilhaq, Muhammad Zulfiqor Mahar Faiqurahman Marthasari, Gita Maskur Maskur Maulana, Noordin Prasetyo Moch Imron Mualim, Damar Arya Pradhipta Muhammad Amin Muhammad Asrar Fathoni Muhammad Iqbal Ramadhan Nashrullah, Aditya Nur Annisa Nur Aulia, Adiva Nur Hayatin Nurwisnu Warasih Al-Kahfie Nuryasin, Ilyas Okta Raditya Novidianto Raffi Ainul Afif Rakhmah, Ekanita Ramadha, Firdatul Nurul Ramadhany, Naufal Raihan Riki Rizki Nur Shidiq Rina Karyati Risca Amellia Risdianto Risdianto Riswandi Meifi Mardani Rizaldi, Muhammad Ikhwananda Rizky Githa Hidayat Rizky Irwan Saputra Rohman, Moh. Ainur Bahtiar Romadhana, Muhammad Restu Adjie S, Vinna Rahmayanti Sahnaz Faradiba Taslim Sandy Young Sari, Zamah Shanty Kusuma Dewi Sofyan Arifianto Sri Juniyanti Syahid Widyanto, Azis Nur Syaifuddin Syaifuddin Taufan Reza Achmadi Thathit Manon Andini Tino Firmansyah Tsani, Mutiara Vitanti, Vizza Dwi Vivi Andriyani Wahyu Andhyka Kusuma Warvana, Ulil Fikri Wicaksono, Galih Wasis Wiyono, Briansyah Setio Yannu Indra Kusuma Yuda Munarko Yudadharma, Muhammad Vijar Yudhistira, Brian Yudi Ananta Prasetya Yudiansyah, Muhammad Wahyu Yufis Azhar Yurizal Rizqon Rifani Yusuf, Elsa Annas Sonia Zakki, Ahmad Kevin Adhira Zamah Sari Zata Dini Astuti