Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Journal of Robotics and Control (JRC) Sewagati
Ramadani, Muhammad Rifqi Nur
Unknown Affiliation
Aerospace Engineering Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Effectiveness of CNN Architectures and SMOTE to Overcome Imbalanced X-Ray Data in Childhood Pneumonia Detection Pamungkas, Yuri; Ramadani, Muhammad Rifqi Nur; Njoto, Edwin Nugroho
Journal of Robotics and Control (JRC) Vol 5, No 3 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i3.21494

Abstract

Pneumonia is a disease that causes high mortality worldwide in children and adults. Pneumonia is caused by swelling of the lungs, and to ensure that the lungs are swollen, a chest X-ray can be done. The doctor will then analyze the X-ray results. However, doctors sometimes have difficulty confirming pneumonia from the results of chest X-ray observations. Therefore, we propose the combination of SMOTE and several CNN architectures be implemented in a chest X-ray image-based pneumonia detection system to help the process of diagnosing pneumonia quickly and accurately. The chest X-ray data used in this study were obtained from the Kermany dataset (5216 images). Several stages of pre-processing (grayscaling and normalization) and data augmentation (shifting, zooming, and adjusting the brightness) are carried out before deep learning is carried out. It ensures that the input data for deep learning is not mixed with noise and is according to needs. Then, the output data from the augmentation results are used as input for several CNN deep learning architectures. The augmented data will also utilize SMOTE to overcome data class disparities before entering the CNN algorithm. Based on the test results, the VGG16 architecture shows the best level of performance compared to other architectures. In system testing using SMOTE+CNN Architectures (VGG16, VGG19, Xception, Inception-ResNet v2, and DenseNet 201), the optimum accuracy level reached 93.75%, 89.10%, 91.67%, 86.54% and 91.99% respectively. SMOTE provides a performance increase of up to 4% for all CNN architectures used in predicting pneumonia.
Deteksi Dini dan Peningkatan Kewaspadaan Tentang Stroke untuk Masyarakat di Kelurahan Kanigaran Njoto, Edwin Nugroho; Radiansyah, Riva Satya; Abdurrahman; Mahdi, Faizal; Mulyasaputra, Galih Endradita; Rifqo, Muhammad; Putro, Yohanes Kartjito; Ramadani, Muhammad Rifqi Nur
Sewagati Vol 8 No 3 (2024)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v8i3.970

Abstract

Stroke merupakan penyebab kematian terbanyak ketiga di dunia, dengan dampak serius terhadap kesehatan dan kualitas hidup individu. Kegiatan pengabdian masyarakat dilakukan di Kota Probolinggo, dengan fokus pada peningkatan kesadaran deteksi dini faktor risiko stroke. Kegiatan ini menyajikan konsep yang mencakup penyuluhan tentang tanda dan gejala stroke, faktor risiko stroke, dan tata laksana awal stroke dengan melibatkan masyarakat di Kelurahan Kanigaran. Berbagai media digunakan termasuk penyuluhan, video edukatif, dan pemeriksaan langsung faktor risiko stroke. Hasil kegiatan menunjukkan tingginya antusiasme masyarakat, terutama dalam sesi tanya jawab. Mayoritas peserta adalah perempuan, dan banyak dari mereka memiliki hipertensi yang belum mendapatkan pengobatan. Tujuan kegiatan adalah meningkatkan kesadaran masyarakat sekitar tentang deteksi dini penyakit stroke, serta memberikan pemahaman yang lebih baik tentang faktor risiko dan tanda gejala stroke. Manfaat kegiatan ini melibatkan pengembangan kemampuan komunikasi sumber daya manusia ITS yang terlibat dan memberikan wawasan masyarakat sekitar mengenai deteksi dini stroke. Dampaknya diharapkan akan mengurangi angka kejadian stroke baru melalui deteksi dini yang lebih cepat dan optimal, serta meningkatkan kesembuhan pasien stroke. Kesimpulannya, kegiatan pengabdian masyarakat ini berhasil meningkatkan kesadaran dan pengetahuan masyarakat sekitar tentang stroke, khususnya di Kota Probolinggo. Dengan upaya ini, diharapkan dapat mengurangi angka kejadian stroke dan meningkatkan kualitas hidup warga setempat.
Co-Authors Abdurahman Abdurrahman Mahdi, Faizal Mulyasaputra, Galih Endradita Njoto, Edwin Nugroho Putro, Yohanes Kartjito Radiansyah, Riva Satya Rifqo, Muhammad Yuri Pamungkas