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All Journal INTEGER: Journal of Information Technology Journal of Informatics Development
Misdiyanto Misdiyanto
Universitas Panca Marga
Computer Science & IT

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Analysis Influence Segmentation Image on Classification Image X-raylungs with Method Convolutional Neural Fathur Rahman; Nuzul Hikmah; Misdiyanto Misdiyanto
Journal of Informatics Development Vol. 2 No. 1 (2023): October 2023
Publisher : Institut Teknologi dan Bisnis Widya Gama Lumajang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30741/jid.v2i1.1159

Abstract

The impact of image segmentation on the classification of lung X-ray images using Convolutional Neural Networks (CNNs) has been scrutinized in this study. The dataset used in this research comprises 150 lung X-ray images, distributed as 78 for training, 30 for validation, and 42 for testing. Initially, image data undergoes preprocessing to enhance image quality, employing adaptive histogram equalization to augment contrast and enhance image details. The evaluation of segmentation's influence is based on a comparison between image classification with and without the segmentation process. Segmentation involves the delineation of lung regions through techniques like thresholding, accompanied by various morphological operations such as hole filling, area opening, and labeling. The image classification process employs a CNN featuring 5 convolution layers, the Adam optimizer, and a training period of 30 epochs. The results of this study indicate that the X-ray image dataset achieved a classification accuracy of 59.52% in network testing without segmentation. In contrast, when segmentation was applied to the X-ray image dataset, the accuracy significantly improved to 73.81%. This underscores the segmentation process's ability to enhance network performance, as it simplifies the classification of segmented image patterns.
Rancang Bangun Sistem Informasi Akademik Mahasiswa Berbasis Website Misdiyanto Misdiyanto; Ahmad Fadli Muhaimin Nourdy; Ira Aprilia
INTEGER: Journal of Information Technology Vol 11, No 1 (2026): Maret
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.2026.v11i1.8003

Abstract

This study aims to design and develop a web-based academic information system at Universitas Panca Marga Probolinggo to facilitate the management of student academic data. The research method used is the waterfall model software development methodology, which includes the stages of requirements analysis, system design, implementation, testing, and maintenance. The results of this study indicate that the developed academic information system can improve efficiency and accuracy in managing academic data, as well as make it easier for students and lecturers to access academic information.Keywords : academic information system, website, Panca Marga University. 
Co-Authors Ahmad Fadli Muhaimin Nourdy Fathur Rahman Ira Aprilia Nuzul Hikmah