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All Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Journal Medical Informatics Technology
Wardani, Yulita Ayu
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Computer Science & IT Dentistry Education Engineering Medicine & Pharmacology Public Health

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Implementation of Image Processing Techniques for Viral Pneumonia Diagnosis Using Chest X-Ray Images Wardani, Yulita Ayu
Journal Medical Informatics Technology Volume 3 No. 4, December 2025
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v3i4.52

Abstract

The COVID-19 pandemic has increased the need for rapid and accurate diagnostic methods for viral pneumonia diseases. This study employs an experimental approach to analyze the application of image processing techniques for viral pneumonia diagnosis using chest X-ray images. The dataset consists of 100 chest X-ray images obtained from a public Kaggle repository, including normal and viral pneumonia cases. The proposed methodology involves several main stages. Image preprocessing is performed through image enlargement using bilinear interpolation and noise reduction using a median filter to improve image quality. Morphological operations, including erosion and dilation, are applied to enhance lung structures and clarify anatomical contours. Image enhancement is conducted using histogram equalization to improve contrast between healthy and infected regions. Finally, convolution-based edge detection using the Sobel operator is applied to highlight structural boundaries relevant to diagnostic interpretation. This processing framework aims to enhance image clarity and feature visibility, thereby supporting more efficient and consistent analysis of chest X-ray images for viral pneumonia diagnosis.
SMART CONTRACT-DRIVEN QUEUE MANAGEMENT FOR EFFICIENT ONLINE TICKET PURCHASING ON BLOCKCHAIN Puspitaningtyas, Mery Oktaviyanti; Ilmi, Happid Ridwan; Wardani, Yulita Ayu; Saputra, Irwansyah
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.7367

Abstract

This study investigates how smart contract-driven queue management can be utilized to increase online ticket purchasing efficiency via blockchain technology. The system is designed to manage ticket purchase queues transparently and securely, using smart contracts written in the Solidity programming language and the Ionic UI framework. In addition, the system is connected with MetaMask as a transaction wallet, allowing users to purchase tickets directly and securely. Ganache serves as a testing environment for replenishing wallet balances without involving real transactions. The First In First Out (FIFO) approach is used to manage the transaction queue, with the first purchased ticket being processed first by the administrator. The administrator accepts each transaction, which is then confirmed by MetaMask. When the transaction is confirmed, the system automatically updates the ticket status. The implementation results show that this system effectively optimizes ticket transaction management transparently and securely. This work also makes a significant contribution to the application of blockchain technology for better management of online ticket purchasing systems, as well as minimizing the possibility of transaction errors and fraud.
Co-Authors Ilmi, Happid Ridwan Puspitaningtyas, Mery Oktaviyanti Saputra, Irwansyah