The Expert System of Cholesterol Detection Based on Iris Using the Gabor Filter

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Louis Paulus Doli Simangunsong Indri Natalia Napitupulu Rina E Lumbantoruan Situlus Zalukhu Mariana Zebua

Abstract

Abstract     Cholesterol is a systemic disease. Many complications of its could affect other organs due to uncontrolled cholesterol / fat in the blood. One of them is coronary heart disease. One way to recognize someone having cholesterol is through the eyes. By using the Iridology method, cholesterol disease in a person's body can be detected or seen through the iris of the eye. Checking cholesterol-related conditions is usually done in a hospital or pharmacy. But the problem is that people are still lazy to check their cholesterol. Therefore, we need a software that can make it easier for people to do cholesterol checks. This device will detect cholesterol by using image processing techniques through the iris image accompanied by the Gabor Filter method. From 15 tested data, 13 iris image images were successfully identified, so that the percentage of success of this program was 86%.with 35 trained data.

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How to Cite
SIMANGUNSONG, Louis Paulus Doli et al. The Expert System of Cholesterol Detection Based on Iris Using the Gabor Filter. SinkrOn, [S.l.], v. 4, n. 1, p. 13-18, sep. 2019. ISSN 2541-2019. Available at: <https://jurnal.polgan.ac.id/index.php/sinkron/article/view/10161>. Date accessed: 21 nov. 2019. doi: https://doi.org/10.33395/sinkron.v4i1.10161.
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References

[1] Kumar, S. V. M., Gunasundari, R., & Ezhilvathani, N. (2016). Non-Invasive Measurement of Cholesterol Levels Using Eye Image Analysis Regression analysis. International Conference on Advances in Computational Intelligence and Communication (CIC 2016) , (pp. 33 - 42).
[2] Siddik, M.A, dkk. 2019. Deteksi Level Kolesterol melalui Citra Mata Berbasis HOG dan ANN. Telkom University. Bandung. Diambil dari :
https://ejurnal.itenas.ac.id/2531-5308-1-PB.pdf
[3] Saefurrohman. 2013. Sistem Penentuan Kolesterol pada Manusia dengan Iridologi menggunakan Deteksi Tepi. UGM. Yogyakarta. Diambil dari :
http://etd.repository.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=45777
[4] Sasongko, Agung (September, 2018). 35 Persen Penduduk Indonesia Miliki Kadar Kolesterol Tinggi. Diakses dari https://www.republika.co.id/berita/gaya-hidup/info-sehat/18/09/27/pfq1ej313-35-persen-penduduk-indonesia-miliki-kadar-kolesterol-tinggi
[5] Saputra, Agung, dkk. 2017. Deteksi Kadar Kolesterol Melalui Iris Mata Menggunakan Image Processing Dengan Metode Jaringan Syaraf Tiruan Dan Gray Level Co-Occurrence Matrix (Glcm). Universitas Pancasila. Yogyakarta. Diambil dari :
http://journal.unj.ac.id/unj/index.php/prosidingsnf/article/view/4903
[6] Hutomo, M.B, dkk. 2010. Identifikasi Gejala Penderita Kolesterol Melalui Pola Iris Mata Dengan Metode Back Propagation Neural Network. Politeknik Telkom. Bandung. Diambil dari :
https://www.semanticscholar.org/paper/IDENTIFIKASI-GEJALA-PENDERITA-KOLESTEROL-MELALUI-Hutomo/75de74126c4df6c9bc8e16bdcadb7e495dc159c0