Adaptive Ant Colony Optimization on Mango Classification Using K-Nearest Neighbor and Support Vector Machine
Abstract— Leaves recognition can use an image edge detection method. In this research, the classification of mango gadung and manalagi will be performed. In the preprocess stage edge detection method using adaptive ant colony optimization method. The use of adaptive ant colony optimization method ai...
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| Format: | Article |
| Language: | English |
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Universitas Airlangga
2017-10-01
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| Series: | Journal of Information Systems Engineering and Business Intelligence |
| Subjects: | |
| Online Access: | https://e-journal.unair.ac.id/JISEBI/article/view/5600 |
| _version_ | 1811159704333713408 |
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| author | Febri Liantoni Luky Agus Hermanto |
| author_facet | Febri Liantoni Luky Agus Hermanto |
| author_sort | Febri Liantoni |
| collection | DOAJ |
| description | Abstract— Leaves recognition can use an image edge detection method. In this research, the classification of mango gadung and manalagi will be performed. In the preprocess stage edge detection method using adaptive ant colony optimization method. The use of adaptive ant colony optimization method aims to optimize the process of edge detection of a mango leaves the bone image. The application of ant colony optimization method on mango leaves classification has successfully optimized the result of edge detection of a mango leaves the bone structure. Results showed edge detection using adaptive ant colony optimization method better than Roberts and Sobel method. The result an experiment of mango leaves classification with k-nearest neighbor method get accuracy value equal to 66,25%, whereas with the method of support vector machine obtained accuracy value equal to 68,75%.
Keywords— Edge Detection, Ant Colony Optimization, Classification, K-Nearest Neighbor, Support Vector Machine |
| first_indexed | 2024-04-10T05:45:42Z |
| format | Article |
| id | doaj.art-c25f6e0945494406858539672861cdc6 |
| institution | Directory Open Access Journal |
| issn | 2598-6333 2443-2555 |
| language | English |
| last_indexed | 2024-04-10T05:45:42Z |
| publishDate | 2017-10-01 |
| publisher | Universitas Airlangga |
| record_format | Article |
| series | Journal of Information Systems Engineering and Business Intelligence |
| spelling | doaj.art-c25f6e0945494406858539672861cdc62023-03-06T02:56:41ZengUniversitas AirlanggaJournal of Information Systems Engineering and Business Intelligence2598-63332443-25552017-10-0132757910.20473/jisebi.3.2.75-794417Adaptive Ant Colony Optimization on Mango Classification Using K-Nearest Neighbor and Support Vector MachineFebri Liantoni0https://orcid.org/0000-0003-1084-965XLuky Agus Hermanto1Teknik Informatika, Fakultas Teknologi Informasi, Institut Teknologi Adhi Tama SurabayaTeknik Informatika, Fakultas Teknologi Informasi, Institut Teknologi Adhi Tama SurabayaAbstract— Leaves recognition can use an image edge detection method. In this research, the classification of mango gadung and manalagi will be performed. In the preprocess stage edge detection method using adaptive ant colony optimization method. The use of adaptive ant colony optimization method aims to optimize the process of edge detection of a mango leaves the bone image. The application of ant colony optimization method on mango leaves classification has successfully optimized the result of edge detection of a mango leaves the bone structure. Results showed edge detection using adaptive ant colony optimization method better than Roberts and Sobel method. The result an experiment of mango leaves classification with k-nearest neighbor method get accuracy value equal to 66,25%, whereas with the method of support vector machine obtained accuracy value equal to 68,75%. Keywords— Edge Detection, Ant Colony Optimization, Classification, K-Nearest Neighbor, Support Vector Machinehttps://e-journal.unair.ac.id/JISEBI/article/view/5600edge detectionant colony optimizationclassificationk-nearest neighborsupport vector machine |
| spellingShingle | Febri Liantoni Luky Agus Hermanto Adaptive Ant Colony Optimization on Mango Classification Using K-Nearest Neighbor and Support Vector Machine Journal of Information Systems Engineering and Business Intelligence edge detection ant colony optimization classification k-nearest neighbor support vector machine |
| title | Adaptive Ant Colony Optimization on Mango Classification Using K-Nearest Neighbor and Support Vector Machine |
| title_full | Adaptive Ant Colony Optimization on Mango Classification Using K-Nearest Neighbor and Support Vector Machine |
| title_fullStr | Adaptive Ant Colony Optimization on Mango Classification Using K-Nearest Neighbor and Support Vector Machine |
| title_full_unstemmed | Adaptive Ant Colony Optimization on Mango Classification Using K-Nearest Neighbor and Support Vector Machine |
| title_short | Adaptive Ant Colony Optimization on Mango Classification Using K-Nearest Neighbor and Support Vector Machine |
| title_sort | adaptive ant colony optimization on mango classification using k nearest neighbor and support vector machine |
| topic | edge detection ant colony optimization classification k-nearest neighbor support vector machine |
| url | https://e-journal.unair.ac.id/JISEBI/article/view/5600 |
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