Pengelompokan Buah Jeruk menggunakan Naïve Bayes dan Gray Level Co-occurrence Matrix
Tangerines are fruits that are rich in high vitamin C content. Every orchard owner always tries to improve the quality of their plantation. In the selection of tangerines to be classified as ripe or immature at harvest time, the garden planters are already accustomed, but sometimes the farmer groupi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Fakultas Ilmu Komputer UMI
2020-04-01
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| Series: | Ilkom Jurnal Ilmiah |
| Subjects: | |
| Online Access: | http://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/494 |
| _version_ | 1818606243014508544 |
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| author | Rahmat Karim Haba Kartika Chandra Pelangi |
| author_facet | Rahmat Karim Haba Kartika Chandra Pelangi |
| author_sort | Rahmat Karim Haba |
| collection | DOAJ |
| description | Tangerines are fruits that are rich in high vitamin C content. Every orchard owner always tries to improve the quality of their plantation. In the selection of tangerines to be classified as ripe or immature at harvest time, the garden planters are already accustomed, but sometimes the farmer grouping the ripe oranges has problems such as physical limitations of the farmer, which is caused by fatigue factor. because it is still grouping with conventional systems so it is not effective and efficient in classifying ripe oranges. So from that we need a computerized system that can help gardeners in classifying ripe oranges. One of the technologies currently developing in agriculture and plantations is digital image processing using a classification system based on the texture and naïve bayes method. Based on the results that have been made, that the classification system using the Naïve Bayes method on tangerine images can be classified and obtain effective and efficient performance based on testing of 82% so that it can be implemented. |
| first_indexed | 2024-12-16T14:07:45Z |
| format | Article |
| id | doaj.art-4bffee47e5e845f7ac46c017b01367ac |
| institution | Directory Open Access Journal |
| issn | 2087-1716 2548-7779 |
| language | English |
| last_indexed | 2024-12-16T14:07:45Z |
| publishDate | 2020-04-01 |
| publisher | Fakultas Ilmu Komputer UMI |
| record_format | Article |
| series | Ilkom Jurnal Ilmiah |
| spelling | doaj.art-4bffee47e5e845f7ac46c017b01367ac2022-12-21T22:28:52ZengFakultas Ilmu Komputer UMIIlkom Jurnal Ilmiah2087-17162548-77792020-04-01121172410.33096/ilkom.v12i1.494.17-24195Pengelompokan Buah Jeruk menggunakan Naïve Bayes dan Gray Level Co-occurrence MatrixRahmat Karim Haba0Kartika Chandra Pelangi1Universitas Ichsan GorontaloUniversitas Ichsan GorontaloTangerines are fruits that are rich in high vitamin C content. Every orchard owner always tries to improve the quality of their plantation. In the selection of tangerines to be classified as ripe or immature at harvest time, the garden planters are already accustomed, but sometimes the farmer grouping the ripe oranges has problems such as physical limitations of the farmer, which is caused by fatigue factor. because it is still grouping with conventional systems so it is not effective and efficient in classifying ripe oranges. So from that we need a computerized system that can help gardeners in classifying ripe oranges. One of the technologies currently developing in agriculture and plantations is digital image processing using a classification system based on the texture and naïve bayes method. Based on the results that have been made, that the classification system using the Naïve Bayes method on tangerine images can be classified and obtain effective and efficient performance based on testing of 82% so that it can be implemented.http://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/494classificationglcmnaïve bayes |
| spellingShingle | Rahmat Karim Haba Kartika Chandra Pelangi Pengelompokan Buah Jeruk menggunakan Naïve Bayes dan Gray Level Co-occurrence Matrix Ilkom Jurnal Ilmiah classification glcm naïve bayes |
| title | Pengelompokan Buah Jeruk menggunakan Naïve Bayes dan Gray Level Co-occurrence Matrix |
| title_full | Pengelompokan Buah Jeruk menggunakan Naïve Bayes dan Gray Level Co-occurrence Matrix |
| title_fullStr | Pengelompokan Buah Jeruk menggunakan Naïve Bayes dan Gray Level Co-occurrence Matrix |
| title_full_unstemmed | Pengelompokan Buah Jeruk menggunakan Naïve Bayes dan Gray Level Co-occurrence Matrix |
| title_short | Pengelompokan Buah Jeruk menggunakan Naïve Bayes dan Gray Level Co-occurrence Matrix |
| title_sort | pengelompokan buah jeruk menggunakan naive bayes dan gray level co occurrence matrix |
| topic | classification glcm naïve bayes |
| url | http://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/494 |
| work_keys_str_mv | AT rahmatkarimhaba pengelompokanbuahjerukmenggunakannaivebayesdangraylevelcooccurrencematrix AT kartikachandrapelangi pengelompokanbuahjerukmenggunakannaivebayesdangraylevelcooccurrencematrix |