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All Journal Jurnal Ilmu Pendidikan Indonesia
Anggrainy Togi Marito Siregar
Universitas Cenderawasih
Biochemistry, Genetics & Molecular Biology Chemistry Education Mathematics Physics

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CLASSIFICATION OF PNEUMONIA DISEASE USING THE MINI XCEPTION MODEL ON X-RAY DATA Anggrainy Togi Marito Siregar; Dina Jumiatul Fitri; Happy Alyzhya Haay; Rasi Kasim Samosir
Jurnal Ilmu Pendidikan Indonesia Vol 14 No 2 (2026): JURNAL ILMU PENDIDIKAN INDONESIA
Publisher : Master of Science Education Program, Postgraduate Program of Cenderawasih University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31957/jipi.v14i2.5602

Abstract

Pneumonia is a disease that often causes death in Indonesia. In general, many that cause a person to develop pneumonia include pneumonia due to bacterial, viral, mycoplasma pneumonia, fungal pneumonia. There are many ways to detect a patient grouped into one type of pneumonia. One way is to use an X-ray machine. X-ray is technology that can send waves of electromagnetic radiation briefly to scan the condition of the inside of the body. In this study, we tried to classify patients affected by bacterial pneumonia and viral pneumonia as well as normal people. The data we use is a picture of the lungs taken from the X-ray results. This research was conducted by applying the mini Xception model using the python program. The model can predict the results of X-ray scans that belong to the class of bacterial pneumonia very well, as seen from the value of precision and sensitivity of 80 and 97 percent, respectively. Viral pneumonia class can not be predicted as good as the two previous classes, but the results obtained are quite good as seen from the value of precision and sensitivity of 85 and 67 percent, respectively. The overall accuracy of the model obtained is 0.86.
Co-Authors Dina Jumiatul Fitri Happy Alyzhya Haay Rasi Kasim Samosir