Sistem Diagnosis Otomatis Identifikasi Penyakit Jantung Coroner Menggunakan Ektraksi Ciri GLCM dan Klasifikasi SVM
DOI:
https://doi.org/10.30872/jim.v15i1.2495Keywords:
Jantung Koroner, Iridologi, Circle Hough Transform, Gray Level Co-occurrence, Support Vector MachineAbstract
Jantung coroner merupakan salah satu penyakit jantung yang sangat banyak menyerang manusia. Penyebab jantung coroner adalah terjadinya penumpukan lemak dan kolestrol pada dinding pembuluh darah. Penyebab utama dari jantung coroner karena gaya hidup manusia yang kurang sehat. Pola makan tidak yang buruk, obesitas dan kurang berolahraga menjadi penyebab utama munculnya penyakit jantung coroner. Penyempitan pembuluh darah sangat berkaitan erat dengan aliran darah yang terjadi ke mata khususnya bagian iris. Sehingga diperlukannya suatu cara dengan metode yang lebih efesien dan murah untuk mengetahui dan mengidentifikasi penyakit jantung sejak diri dengan menggunakan iridologi. Sistem yang dirancang dengan menggunakan Circle Hough Tranform (CHT) sebagai deteksi bagian iris secara otomatis, Gray Level Co- occurrence Matrix (GLCM) sebagai ekstraksi ciri dan Support Vector Machine (SVM) sebagai klasifikasi. Pengujian telah dilakukan terhadap 40 data citra yang memperoleh tingkat keberhasilan identifikasi sebesar 87.5%.
References
Adelina, Dyah Ceni, Riyanto Sigit, Tri Harsono, and M Rochmad. 2017. “Identification Of Diabetes In Pancreatic Organs Using Iridology.” : 114–119.
Daugman, John. 2009. “How Iris Recognition Works.” The Essential Guide to Image Processing: 715–739.
Dewi, Aisyah Kumala, Astri Novianty, and Tito Waluyo Purboyo. 2017. “Stomach Disorder Detection through the Iris Image Using Backpropagation Neural Network.” 2016 International Conference on Informatics and Computing, ICIC 2016 (Icic): 192–197.
Djekoune, A. Oualid, Khadidja Messaoudi, and Kahina Amara. 2017. “Incremental Circle Hough Transform: An Improved Method for Circle Detection.” Optik 133: 17–31. http://dx.doi.org/10.1016/j.ijleo.2016.12.064.
Isnanto, R. Rizal. 2015. “Iris Recognition Analysis Using Biorthogonal Wavelets Tranform for Feature Extraction.” 2014 1st International Conference on Information Technology, Computer, and Electrical Engineering: Green Technology and Its Applications for a Better Future, ICITACEE 2014 - Proceedings: 183–187.
Kementerian Kesehatan RI. 2015. “Kementerian Kesehatan Republik Indonesia.” Kementerian Kesehatan RI. Sekretariat Jenderal. Rencana Strategis Kementerian Kesehatan Tahun Rencana Strategis Kementerian Kesehatan Tahun: 248. http://www.depkes.go.id/resources/download/info-publik/Renstra-2015.pdf.
Leonardus Sandy Ade Putra, and Vincentius Abdi Gunawan. 2018. “The Recognition Of Semaphore Letter Code Using Haar Wavelet And Euclidean Function.” In International Conference on Electrical Engineering, Computer Science and Informatics (EECSI).
Leonardus Sandy Ade Putra, and Vincetius Abdi Gunawan. 2018. “Identification of Heart Disease With Iridology Using Backpropagation Neural Network.” In Borneo International Conference on Applied Mathematics and Engineering.
Lv, Wentao, Qiuze Yu, and Wenxian Yu. 2010. “Water Extraction in SAR Images Using GLCM and Support Vector Machine.” International Conference on Signal Processing Proceedings, ICSP: 740–743.
Murimi, Salama Romano. 2009. “An Evaluation Of.”Nusantara, R G Alam, Putra Herlambang, R Rizal Isnanto, and A Ajulian Z. 2015. “Application of Liver Disease Detection Using Iridology with Back-Propagation Neural Network.” : 123–127.
Permatasari, Lintang Indah, Astri Novianty, and Tito Waluyo Purboyo. 2017. “Heart Disorder Detection Based on Computerized Iridology Using Support Vector Machine.” ICCEREC 2016 - International Conference on Control, Electronics, Renewable Energy, and Communications 2016, Conference Proceedings: 157–161.
Salles, Léia Fortes, and Maria Júlia Paes de Silva. 2008. “Iridology: A Systematic Review.” Revista da Escola de Enfermagem 42(3): 585–589.
Satriyo N, Anto, Arief Budi Witarto, and Dwi Handoko. 2003. “Support Vector Machine.” 2003(23): 193–200.
“Sclerology 123vid.” 2019. https://cupofjoephoto.com/sclerology-123vid.html.
Vincentius Abdi Gunawan. 2019. “Klasifikasi Rambu Lalu Lintas Menggunakan Ekstraksi Ciri Wavelet Dan Jarak Euclidean.” 3(1): 26–35.
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