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All Journal ELKHA : Jurnal Teknik Elektro Journal of Educational, Health and Community Psychology
Amrulloh, Yusuf Aziz
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Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Public Health

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Computer Aided Classification of X-ray Images from Pediatric Pneumonia Subjects Collected in Developing Countries Amrulloh, Yusuf Aziz; Prasetyo, Bayu Dwi; Khoiriyah, Ummatul; Gunarti, Hesti; Setyowireni, Dwikisworo; Triasih, Rina; Naning, Roni; Setyati, Amalia
ELKHA : Jurnal Teknik Elektro Vol. 15 No.2 October 2023
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v15i2.69981

Abstract

Pneumonia is a lower tract respiratory infection due to bacteria or viruses. It is a severe disease in the pediatric population. Pneumonia is the leading cause of mortality in children under five years worldwide. One of the problems with pneumonia is the diagnosis, as the symptoms of pneumonia may overlap with other diseases, such as asthma and bronchiolitis. In this work, we propose to develop a method for classifying pneumonia and non-pneumonia using X-ray images. We collected 60 X-ray images from Dr. Sardjito Hospital, Yogyakarta, Indonesia, and the dataset from Kaggle. We processed these images through pre-processing algorithms to enhance the image quality, segmentation, white pixel computation, and classification. The novelty of our method is using the ratio of the white pixels from edge detection using the Canny algorithm with the white pixels from segmentation for classifying pneumonia/non-pneumonia. In the Kaggle dataset, our proposed method achieved an accuracy of 86.7%, a sensitivity of 100%, and a specificity of 85%. The classification using the dataset from Dr. Sardjito Hospital yields sensitivity, specificity, and accuracy of 80%, 60%, and 66.7%, respectively. Despite the low performance in the results, we proved our novel feature, ratio of white pixels, can be used to classify pneumonia/non-pneumonia. We also identified that the local dataset is essential in the algorithm development as it has a different quality from the dataset from modern countries. Further, our simple method can be developed further to support pneumonia diagnosis in resource-limited settings where the advanced computing devices or cloud connection are not available.
Involving Engineering Student in Community-Based Project: A Qualitative Study Amrulloh, Yusuf Aziz; fatuhrahmah, ufi; Murnani, Suatmi
Journal of Educational, Health and Community Psychology Vol 12 No 4 December 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jehcp.v12i4.27007

Abstract

Various studies on educational approaches explore the solution to fill the gap between education and society's demands. Specifically in the engineering field, addressing this gap is particularly urgent because previous research indicated that engineering graduates experienced this problem more frequently. On the other hand, our community needs them since engineering is the driver of innovation and community change. Community-based projects, combining community-based research and project-based learning approaches, are potential approaches to meet this purpose, although more research is needed. This study aims to explore students' experiences while involved in community-based projects, including the processes, experiences, feelings, and values obtained during the project. This study used a qualitative approach using an open-ended questionnaire and interviews with 39 engineering students. The results of the study show three main stages in a community-based project in the field of engineering and positive results in terms of cognitive, affective, skills, and values. The dynamics of the process and the potential for community-based project development are provided in the discussion and conclusion section.
Co-Authors Amalia Setyati Dwikisworo Setyowireni Fatuhrahmah, Ufi Gunarti, Hesti Khoiriyah, Ummatul Murnani, Suatmi Prasetyo, Bayu Dwi Rina Triasih Roni Naning