Deteksi Diabetik Retinopati menggunakan Regresi Logistik
Retinopathy diabetic is a disease caused by diabetes mellitus complications that can cause damage to the retina of the eye. It has a direct impact on the disruption of the vision of the patient. Detecting this disease is very important to prevent total blindness on diabetes mellitus patients. One me...
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Format: | Article |
Language: | English |
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Fakultas Ilmu Komputer UMI
2020-08-01
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Series: | Ilkom Jurnal Ilmiah |
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Online Access: | http://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/578 |
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author | Raras Tyasnurita Adhi Yoga Muris Pamungkas |
author_facet | Raras Tyasnurita Adhi Yoga Muris Pamungkas |
author_sort | Raras Tyasnurita |
collection | DOAJ |
description | Retinopathy diabetic is a disease caused by diabetes mellitus complications that can cause damage to the retina of the eye. It has a direct impact on the disruption of the vision of the patient. Detecting this disease is very important to prevent total blindness on diabetes mellitus patients. One method to do the detection is by using machine learning. This research uses feature extraction data from an image that contains signs of retinopathy diabetic or not. In this research, we focus on retinopathy diabetic classification. We applied logistic regression algorithm for classification. There is four training condition in a machine learning model: using the default parameter, feature standardization, feature selection, and hyper-parameter tuning. The model used a regularization control (C) value of 11.288, iterations 200, and a regularization penalty (l1). The experimental results show that this proposed model with full features produced 80,17% accuracy in data validation. |
first_indexed | 2024-12-17T23:45:57Z |
format | Article |
id | doaj.art-de1c012fa96947e4ac407c51add133e7 |
institution | Directory Open Access Journal |
issn | 2087-1716 2548-7779 |
language | English |
last_indexed | 2024-12-17T23:45:57Z |
publishDate | 2020-08-01 |
publisher | Fakultas Ilmu Komputer UMI |
record_format | Article |
series | Ilkom Jurnal Ilmiah |
spelling | doaj.art-de1c012fa96947e4ac407c51add133e72022-12-21T21:28:19ZengFakultas Ilmu Komputer UMIIlkom Jurnal Ilmiah2087-17162548-77792020-08-0112213013510.33096/ilkom.v12i2.578.130-135209Deteksi Diabetik Retinopati menggunakan Regresi LogistikRaras Tyasnurita0Adhi Yoga Muris Pamungkas1Institut Teknologi SepuluhInstitut Teknologi SepuluhRetinopathy diabetic is a disease caused by diabetes mellitus complications that can cause damage to the retina of the eye. It has a direct impact on the disruption of the vision of the patient. Detecting this disease is very important to prevent total blindness on diabetes mellitus patients. One method to do the detection is by using machine learning. This research uses feature extraction data from an image that contains signs of retinopathy diabetic or not. In this research, we focus on retinopathy diabetic classification. We applied logistic regression algorithm for classification. There is four training condition in a machine learning model: using the default parameter, feature standardization, feature selection, and hyper-parameter tuning. The model used a regularization control (C) value of 11.288, iterations 200, and a regularization penalty (l1). The experimental results show that this proposed model with full features produced 80,17% accuracy in data validation.http://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/578retinopathy diabeticlogistic regressionclassificationmachine learning |
spellingShingle | Raras Tyasnurita Adhi Yoga Muris Pamungkas Deteksi Diabetik Retinopati menggunakan Regresi Logistik Ilkom Jurnal Ilmiah retinopathy diabetic logistic regression classification machine learning |
title | Deteksi Diabetik Retinopati menggunakan Regresi Logistik |
title_full | Deteksi Diabetik Retinopati menggunakan Regresi Logistik |
title_fullStr | Deteksi Diabetik Retinopati menggunakan Regresi Logistik |
title_full_unstemmed | Deteksi Diabetik Retinopati menggunakan Regresi Logistik |
title_short | Deteksi Diabetik Retinopati menggunakan Regresi Logistik |
title_sort | deteksi diabetik retinopati menggunakan regresi logistik |
topic | retinopathy diabetic logistic regression classification machine learning |
url | http://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/578 |
work_keys_str_mv | AT rarastyasnurita deteksidiabetikretinopatimenggunakanregresilogistik AT adhiyogamurispamungkas deteksidiabetikretinopatimenggunakanregresilogistik |