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All Journal International Journal of Electrical and Computer Engineering Perfecting a Video Game with Game Metrics International Journal of Advances in Intelligent Informatics Jurnal Pilar Nusa Mandiri Techno Nusa Mandiri : Journal of Computing and Information Technology ILKOM Jurnal Ilmiah EXPLORE Jurnal Mantik INFOKUM Infotek : Jurnal Informatika dan Teknologi Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Karya untuk Masyarakat (JKuM) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi EXPLORE
Imran, Bahtiar
Universitas Teknologi Mataram
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Veterinary

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Journal : Jurnal Mantik

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Implementation of Machine Learning Model for Pneumonia Classification Based on X-Ray Images Bahtiar Imran; Hambali Hambali; Lalu Darmawan Bakti
Jurnal Mantik Vol. 5 No. 3 (2021): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

This study applies a Machine Learning learning model for Pneumonia classification based on x-ray images. This study uses two classes, namely Pneumonia Class and Normal Class, and uses Epoch 10, Epoch 50, Epoch 250 and Epoch 700, Learning Rate 0.001, and Batch Size 16. Learning carried out using Epoch 10 to get accuracy results per class is Pneumonia Class 0.97 and Class 0.95. While learning using Epoch 50 gets accuracy results per class, namely Pneumonia Class 0.97 and Normal class 0.97, and for learning, using Epoch 250 gets accuracy results for Pneumonia Class 1.00 and Normal Class 0.97. By using Epoch 700, the accuracy results were obtained for Pneumonia Class 1.00 and Normal Class 1.00. From the results of tests carried out using Learning Rate 0.001, Batch Size 16 and Epoch 10 received an accuracy of 64%. For Learning Rate 0.001, Batch Size 16 and Epoch 50 obtained 86% accuracy, and for Learning Rate 0.001, Batch Size 16 and Epoch 250 got 87% accuracy, while for Learning Rate 0.001, Batch Size 16 and Epoch 700 get 92% accuracy. From this study, the results show the highest precision using Epoch 700.
Co-Authors - Subektiningsih Abba Suganda Girsang, Abba Suganda Ahmad Yani Akhmad Muzakka Amirudin Kalbuadi Anak Agung Istri Sri Wiadnyani Ardiyallah Akbar Baihaki, Makmun Baiq Nonik Ria Riska Beni Ari Hidayatullah Fachrul Kurniawan Hambali Hambali Hendri Ramdan Karya Gunawan Karya Gunawan Lalu Darmawan Bakti Lalu Darmawan Bakti, Lalu Darmawan Lalu Delsi Samsumar, M.Eng. M Zulpahmi Mahayadi Mahayadi Makmun Baihaki Moch Arief Soeleman Moh. Arief Soeleman Muh Nasirudin Karim Muh Nasirudin Karim Muhamad Masjun Efendi Muhammad Rijal Alfian Muhammad Zohri Muzakka, Akhmad Purwanto Purwanto Ricardus Anggi Pramunendar Riska, Baiq Nonik Ria Rudi Muslim Salman Salman Sriasih, Sriasih Subektiningsih Subektiningsih Subki, Ahmad Suharjito Suharjito, Suharjito Suhartono Suhartono Surni Erniwati Surni Erniwati Zaeniah Zaeniah Zaeniah Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zulpahmi, M