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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Main Authors: Raras Tyasnurita, Adhi Yoga Muris Pamungkas
Format: Article
Language:English
Published: Fakultas Ilmu Komputer UMI 2020-08-01
Series:Ilkom Jurnal Ilmiah
Subjects:
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.
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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