Perbandingan Ekstraksi Fitur Untuk Klasifikasi COVID-19, MERS, dan SARS Menggunakan Algoritma Extreme Learning Machine
DOI:
https://doi.org/10.14421/fourier.2024.131.30-41Keywords:
ELM, GLCM, GLDM, Virus CoronaAbstract
Pada tahun 2019, terjadi kemunculan suatu wabah penyakit COVID-19. Wabah penyakit tersebut telah mengguncang dunia sehingga menyebabkan pandemi secara global. Selain COVID-19, terdapat dua wabah penyakit lain juga diakibatkan oleh virus corona yaitu MERS (Middle East Respiratory Syndrome) dan SARS (Severe Acute Respiratory Syndrome) yang sudah menjadi ancaman serius pada beberapa dekade terakhir. Ketiga wabah penyakit tersebut menyebabkan jutaan kasus serta ribuan orang yang meninggal di seluruh dunia. Berdasarkan permasalahan tersebut, perlu adanya penelitian yang dilakukan untuk klasifikasi penyakit COVID-19, MERS, dan SARS berdasarkan hasil pemeriksaan X-ray menggunakan perbandingan ekstraksi fitur GLCM (Gray Level Co-occurrence Matrix) dan GLDM (Gray Level Difference Matrix) serta klasifikasi ELM (Extreme Learning Machine). Pada penelitian ini menggunakan beberapa parameter uji coba diantaranya yaitu arah sudut, jumlah pada k-fold, serta jumlah hidden node. Hasil terbaik pada penelitian ini diperoleh menggunakan metode ekstraksi fitur GLDM dengan uji coba pada sudut , k-fold 10, serta hidden node 25 yang menghasilkan akurasi, sensitivitas, dan spesifisitas masing-masing sebesar 100% dengan waktu yang dibutuhkan yaitu 0.00042 detik. Sehingga, dapat disimpulkan bahwa hasil ekstraksi fitur GLDM lebih unggul daripada ekstraksi fitur GLCM.
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E. Elfira, W. Priharti, dan D. Rahmawati, “Comparison of GLCM and First Order Feature Extraction Methods for Classification of Mammogram Images,” J. Teknokes, vol. 15, no. 4, hal. 197–205, 2022, doi: 10.35882/teknokes.v15i4.458.
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J. Kalyani dan M. Chakraborty, “Contrast Enhancement of MRI Images using Histogram Equalization Techniques,” 2020 Int. Conf. Comput. Electr. Commun. Eng., hal. 1–5, 2020.
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V. U. M. Maksum, D. C. R. Novitasari, dan A. Hamid, “Image X-Ray Classification for COVID-19 Detection Using GCLM-ELM,” J. Mat. MANTIK, vol. 7, no. 1, hal. 74–85, 2021, doi: 10.15642/mantik.2021.7.1.74-85.
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W. T. Puspitasari, D. Z. Haq, dan D. C. R. Novitasari, “Identifikasi Leukemia Berdasarkan Analisis Tekstur Citra Darah Tepi Mikroskopis Menggunakan Jaringan Syaraf Tiruan Feed-Forward,” Tek. Komput. J. Apl., vol. 11., no. 3, hal. 215–225, 2022.
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