Identification of Gallus Domesticus and Joper Chicken Meat Types Using Glcm Combined With K-NN Method
Native and Joper chickens are types of chickens whose meat is difficult to distinguish in terms of texture and color. The aim of this study is to develop an information system capable of detecting the type of chicken meat (native or Joper) based on image analysis using the Gray Level Co-Occurrence M...
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Universitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian Masyarakat
2024-12-01
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| Series: | Inspiration |
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| Online Access: | https://ojs.unitama.ac.id/index.php/inspiration/article/view/98 |
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| author | Mila Jumarlis Mirfan |
| author_facet | Mila Jumarlis Mirfan |
| author_sort | Mila Jumarlis |
| collection | DOAJ |
| description | Native and Joper chickens are types of chickens whose meat is difficult to distinguish in terms of texture and color. The aim of this study is to develop an information system capable of detecting the type of chicken meat (native or Joper) based on image analysis using the Gray Level Co-Occurrence Matrix (GLCM) method combined with the K-Nearest Neighbour (K-NN) algorithm. In this research, 200 training data samples were used to extract color and texture features and perform calculations using five GLCM parameters (energy, entropy, homogeneity, contrast, and correlation) with four texture distribution directions: 0°, 45°, 90°, and 135°. Classification was then conducted to determine the type of chicken meat using the K-NN algorithm. The results of this study include a system capable of identifying chicken types based on meat, specifically distinguishing between Joper chicken meat and native chicken meat. The system consists of two main processes: calculating gray-level co-occurrence values and determining proximity using the K-Nearest Neighbor algorithm. Based on testing results, the system can perform detection using the GLCM and K-NN methods with an accuracy rate of 80%, as evaluated by 8 out of 10 respondents in this study. |
| format | Article |
| id | doaj-art-1e773be426df481399687fd6ec6f24ec |
| institution | Kabale University |
| issn | 2088-6705 2621-5608 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Universitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian Masyarakat |
| record_format | Article |
| series | Inspiration |
| spelling | doaj-art-1e773be426df481399687fd6ec6f24ec2025-01-28T05:51:37ZengUniversitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian MasyarakatInspiration2088-67052621-56082024-12-01142425110.35585/inspir.v14i2.9898Identification of Gallus Domesticus and Joper Chicken Meat Types Using Glcm Combined With K-NN MethodMila Jumarlis0Mirfan1Sekolah Tinggi Islam Negeri MajeneUniversitas Handayani MakassarNative and Joper chickens are types of chickens whose meat is difficult to distinguish in terms of texture and color. The aim of this study is to develop an information system capable of detecting the type of chicken meat (native or Joper) based on image analysis using the Gray Level Co-Occurrence Matrix (GLCM) method combined with the K-Nearest Neighbour (K-NN) algorithm. In this research, 200 training data samples were used to extract color and texture features and perform calculations using five GLCM parameters (energy, entropy, homogeneity, contrast, and correlation) with four texture distribution directions: 0°, 45°, 90°, and 135°. Classification was then conducted to determine the type of chicken meat using the K-NN algorithm. The results of this study include a system capable of identifying chicken types based on meat, specifically distinguishing between Joper chicken meat and native chicken meat. The system consists of two main processes: calculating gray-level co-occurrence values and determining proximity using the K-Nearest Neighbor algorithm. Based on testing results, the system can perform detection using the GLCM and K-NN methods with an accuracy rate of 80%, as evaluated by 8 out of 10 respondents in this study.https://ojs.unitama.ac.id/index.php/inspiration/article/view/98chicken meatdigital imageglcmclassificationk-nn methode |
| spellingShingle | Mila Jumarlis Mirfan Identification of Gallus Domesticus and Joper Chicken Meat Types Using Glcm Combined With K-NN Method Inspiration chicken meat digital image glcm classification k-nn methode |
| title | Identification of Gallus Domesticus and Joper Chicken Meat Types Using Glcm Combined With K-NN Method |
| title_full | Identification of Gallus Domesticus and Joper Chicken Meat Types Using Glcm Combined With K-NN Method |
| title_fullStr | Identification of Gallus Domesticus and Joper Chicken Meat Types Using Glcm Combined With K-NN Method |
| title_full_unstemmed | Identification of Gallus Domesticus and Joper Chicken Meat Types Using Glcm Combined With K-NN Method |
| title_short | Identification of Gallus Domesticus and Joper Chicken Meat Types Using Glcm Combined With K-NN Method |
| title_sort | identification of gallus domesticus and joper chicken meat types using glcm combined with k nn method |
| topic | chicken meat digital image glcm classification k-nn methode |
| url | https://ojs.unitama.ac.id/index.php/inspiration/article/view/98 |
| work_keys_str_mv | AT milajumarlis identificationofgallusdomesticusandjoperchickenmeattypesusingglcmcombinedwithknnmethod AT mirfan identificationofgallusdomesticusandjoperchickenmeattypesusingglcmcombinedwithknnmethod |