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All Journal Jurnal Pengabdian UntukMu NegeRI JURTEKSI PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Pendidikan Jasmani Khatulistiwa Jurnal Sistem Informasi dan Teknik Informasi Filantropi: Jurnal Manajemen Zakat dan Wakaf Journal Sport Academy (JSA) TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Journal of Software Engineering and Information System (SEIS) Journal Sport Academy
Rahmad Firdaus
Fakultas Kedokteran Universitas Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Physics Public Health Social Sciences Other

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Transfer Learning dengan CLAHE dan Sharpening filter untuk Deteksi Pneumonia pada Citra X-Ray Karan; Firdaus, Rahmad; Mukhtar, Harun
JURNAL FASILKOM Vol. 16 No. 1 (2026): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v16i1.11374

Abstract

Pneumonia is a respiratory infection that remains a leading cause of death, especially in children, requiring an automatic detection system based on chest X-ray images. The main challenge in automatic classification is low image quality, such as suboptimal contrast and unclear lung details, which can affect the feature extraction process by deep learning models. To address these issues, this study applies Contrast Limited Adaptive Histogram Equalization (CLAHE) to enhance image contrast and a sharpening filter to clarify lung edge details. The study aims to analyze the effect of preprocessing on classification performance using EfficientNet-B0 based on Transfer Learning with a full fine-tuning strategy. The dataset used is Chest X-Ray Pneumonia from Kaggle with 5,856 images consisting of Normal and Pneumonia classes. Experiments compare the Baseline model, CLAHE, and a combination of CLAHE and sharpening in three data sharing scenarios. Evaluation is carried out using accuracy, precision, recall, and image quality metrics PSNR, SSIM, and CII. The results of the study showed that the combination of CLAHE and sharpening in the 80:10:10 scenario produced the best performance with an accuracy of 97.61%, precision of 0.97, recall of 0.99, and an increase in image quality based on a CII value of 1.157.
Co-Authors Aditya Ahmad Fauzi Alris Gusnanda Amran, Hasanatul Fu'adah Andinata Anton, Anton Kurnia Hadisaputro Bayu Anugerah Putra Br Bangun, Elsi Titasari Dian Utami Dicky Pratama Fadila, Wahyu Fakhira Frisya Ramadhani Fatma, Yulia Fithriawan Nugroho Fitri Handayani Fitri, Nurkhairi Fu'adah Amran, Hasanatul Gunawan, Rahmad Hanum Salsabila Harun Mukhtar Hayami, Regiolina Hermanto Hermanto Jihan Aulia Karan Khasanah, Diva Nayla Marna, Marna Maryani, Cik Mualfah, Desti Muarif, Putri Fadhilla Muhammad Suhairi, Prihatin, Ananda Putra, Gope Mandala Rafdi, Faris Abi Rajaguguk, Rifaldi Febriansyah Rico Apriandika Rizqy, Riza Rindriani Sartika, Cici Septiana Srinandini Soni Suhardi Suhardi Sunanto Sunanto Sunanto Suwanto, Fredy Syahril Syahril Taufiq, Reny Medikawati Wahyudi, Ashari Yeremia, Deryl Andeya Zidan, Abiyyu Al Thoriq Zusyah Porja Daryanto