Optimizing decision tree using particle swarm optimization to identify eye diseases based on texture analysis
The problem of visual impairment is a serious problem with increasing cases, ranging from visual impairment to the cause of blindness. This study examines the development of an identification application for the classification of patients with eye disorders using the Decision Tree (DT) method, which...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Diponegoro University
2020-01-01
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| Series: | Jurnal Teknologi dan Sistem Komputer |
| Subjects: | |
| Online Access: | https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13454 |
| _version_ | 1797282300240592896 |
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| author | Toni Arifin Asti Herliana |
| author_facet | Toni Arifin Asti Herliana |
| author_sort | Toni Arifin |
| collection | DOAJ |
| description | The problem of visual impairment is a serious problem with increasing cases, ranging from visual impairment to the cause of blindness. This study examines the development of an identification application for the classification of patients with eye disorders using the Decision Tree (DT) method, which is optimized using Particle Swarm Optimization (PSO). This study used 311 eye image data, consisting of 233 normal eye images and 78 eye images with glaucoma, cataracts, and uveitis. The feature extraction used Gray Level Co-occurrence Matrix (GLCM), while the feature optimization used the PSO and the learning method used DT. This optimized visual impairment classification application can improve system accuracy to 88.09 %. |
| first_indexed | 2024-03-07T17:10:52Z |
| format | Article |
| id | doaj.art-839f4f700ae341f0846e6128d1f054b6 |
| institution | Directory Open Access Journal |
| issn | 2338-0403 |
| language | English |
| last_indexed | 2024-03-07T17:10:52Z |
| publishDate | 2020-01-01 |
| publisher | Diponegoro University |
| record_format | Article |
| series | Jurnal Teknologi dan Sistem Komputer |
| spelling | doaj.art-839f4f700ae341f0846e6128d1f054b62024-03-03T01:09:15ZengDiponegoro UniversityJurnal Teknologi dan Sistem Komputer2338-04032020-01-0181596310.14710/jtsiskom.8.1.2020.59-6312805Optimizing decision tree using particle swarm optimization to identify eye diseases based on texture analysisToni Arifin0Asti Herliana1Program Studi Teknik Informatika, Fakultas Teknik, Universitas BSI Bandung, IndonesiaProgram Studi Teknik Informatika, Fakultas Teknik, Universitas BSI Bandung, IndonesiaThe problem of visual impairment is a serious problem with increasing cases, ranging from visual impairment to the cause of blindness. This study examines the development of an identification application for the classification of patients with eye disorders using the Decision Tree (DT) method, which is optimized using Particle Swarm Optimization (PSO). This study used 311 eye image data, consisting of 233 normal eye images and 78 eye images with glaucoma, cataracts, and uveitis. The feature extraction used Gray Level Co-occurrence Matrix (GLCM), while the feature optimization used the PSO and the learning method used DT. This optimized visual impairment classification application can improve system accuracy to 88.09 %.https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13454optimasiklasifikasigangguan matadecission treeparticle swarm optmizationglcm |
| spellingShingle | Toni Arifin Asti Herliana Optimizing decision tree using particle swarm optimization to identify eye diseases based on texture analysis Jurnal Teknologi dan Sistem Komputer optimasi klasifikasi gangguan mata decission tree particle swarm optmization glcm |
| title | Optimizing decision tree using particle swarm optimization to identify eye diseases based on texture analysis |
| title_full | Optimizing decision tree using particle swarm optimization to identify eye diseases based on texture analysis |
| title_fullStr | Optimizing decision tree using particle swarm optimization to identify eye diseases based on texture analysis |
| title_full_unstemmed | Optimizing decision tree using particle swarm optimization to identify eye diseases based on texture analysis |
| title_short | Optimizing decision tree using particle swarm optimization to identify eye diseases based on texture analysis |
| title_sort | optimizing decision tree using particle swarm optimization to identify eye diseases based on texture analysis |
| topic | optimasi klasifikasi gangguan mata decission tree particle swarm optmization glcm |
| url | https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13454 |
| work_keys_str_mv | AT toniarifin optimizingdecisiontreeusingparticleswarmoptimizationtoidentifyeyediseasesbasedontextureanalysis AT astiherliana optimizingdecisiontreeusingparticleswarmoptimizationtoidentifyeyediseasesbasedontextureanalysis |