RAMADHANI, ALIFTA PUTRI (2024) Analysis Performa Algoritma Support Vector Machine dan Algoritma K-Nearest Neighbors untuk Kasus Penyakit Mulut dan Kuku Pada Sapi di Jawa Timur. Undergraduate thesis, UPN Veteran Jawa Timur.
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Abstract
Foot and mouth disease (FMD) is currently endemic in Indonesia. This disease generally attacks animals with even or split hooves, such as cows, buffalo and sheep or goats. Symptoms This disease is not transmitted to humans or is not a zoonotic disease. Predicting foot and mouth disease in cattle is a problem whose solution can be done using machine learning. There are several different methods, so the accuracy results will also vary. This research aims to compare the performance of the Support Vector Machine algorithm and the K-Nearest Neighbor algorithm. In this research, the number of datasets is 540 rows and 12 columns. In the research, the Support Vector Machine algorithm uses several kernels, namely the rbf kernel, linear kernel, poly kernel, and sigmoid kernel, then for the K-Nearest Neighbors algorithm uses the values K=1 to K=20. This research also uses several scenarios, namely comparing the amount of training data and the amount of test data, the first is 70% training data and 30% test data, then the second is 80% training data, 20% test data and the third is 90% training data and 10% test data. The use of the Support Vector Machine algorithm and the K-Nearest Neighbors algorithm is used to obtain relevant or accurate results in predicting foot and mouth disease in cattle. The results obtained from this research for both algorithms can be said to be good because they both have a high accuracy value of 100%. Keywords: Foot and mouth disease, K-Nearest Neighbors, Support Vector Machine
| Item Type: | Thesis (Undergraduate) | ||||||||||||
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| Subjects: | T Technology > T Technology (General) | ||||||||||||
| Divisions: | Faculty of Computer Science > Departemen of Informatics | ||||||||||||
| Depositing User: | alifta putri ramadhani | ||||||||||||
| Date Deposited: | 22 Jan 2024 04:24 | ||||||||||||
| Last Modified: | 22 Jan 2024 04:24 | ||||||||||||
| URI: | http://repository.upnjatim.ac.id/id/eprint/20434 |
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