Nauval Laudza Munadjat Pattinggi, . (2025) RANCANG BANGUN APLIKASI PENDETEKSI PNEUMONIA MELALUI CITRA X-RAY BERBASIS MOBILE. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Pneumonia is one of the leading causes of death among young children, particularly those under five years old. Early detection through X-ray image analysis has significant potential to improve diagnostic accuracy, yet limited medical resources in various regions pose a major challenge. This study aims to design and develop an Android-based mobile application for detecting pneumonia using the Convolutional Neural Network (CNN) method. The application was developed using the Flutter framework, while the CNN model was trained with an open-source X-ray image dataset licensed under CC BY 4.0. The test results show that the CNN model achieved an accuracy rate of up to 96%, with an average prediction time of 3 seconds after being integrated into the application using TensorFlow Lite. The application provides detection features through the camera and gallery, as well as informative articles about pneumonia. This application is expected to serve as a practical solution for medical professionals to enabling quick and accurate pneumonia detection.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2010511090] [Pembimbing 1: Neny Rosmawarni] [Pembimbing 2: Ika Nurlaili Isnainiyah] [Penguji 1: Didit Widiyanto] [Penguji 2: Radinal Setyadinsa] |
| Uncontrolled Keywords: | Pneumonia, X-ray Images, Convolutional Neural Network, Mobile Application |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | NAUVAL LAUDZA MUNADJAT PATTINGGI |
| Date Deposited: | 12 Jul 2025 22:16 |
| Last Modified: | 12 Jul 2025 22:16 |
| URI: | http://repository.upnvj.ac.id/id/eprint/37479 |
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