KLASIFIKASI DAGING HEWAN FITUR CITRA DIGITAL MENGGUNAKAN SVM (SUPPORT VECTOR MACHINE)
| Main Author: | Krisna Putra, Guntur |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | ind |
| Terbitan: |
, 2015
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| Subjects: | |
| Online Access: |
https://eprints.untirta.ac.id/9376/1/KLASIFIKASI%20DAGING%20HEWAN%20FITUR%20CITRA%20DIGITAL.pdf https://eprints.untirta.ac.id/9376/ https://ft.untirta.ac.id |
Daftar Isi:
- Some action mixing beef with pork in the market –traditional market. This can be detrimental to the consumer what's harming the Mosloems are prohibited from eating pork. This research aims to classify the type of pork and beef in a digital image.There are two types of data in this study i.e. training data and test data which consists of RGB images. This research was conducted on pre-process by changing the RGB image on both the type of the data with a grayscale image and then extraction properties by using the properties of the order of one and a half. Parameters on the order of one is the mean, variance, skewness and the order of the two is the contrast, correlation, variance of grayscale histogram. the classification of types of meat into two classes using Support Vector Machine (SVM) with application of WEKA (Waikato Environtment for Knowledge Analysis) version 3.7.10. Accuracy of results from each test type of pork and beef such as evaluation on training set: 81,111%, evaluation on testing sets of :90%, cross-validation folds 2: 81,111%, cross-validation folds 3: 78,8889%, cross- validation 4: 78,8889% . Keywords : porks,beef ,histogram, SVM