Pratama, Audhy Brilliant (2023) Analisis Implementasi Metode Naive Bayes, K-Nearest Neighbor, Dan Logistic Regression Untuk Mengklasifikasi Penyakit Jantung. Undergraduate thesis, UPN Veteran Jawa Timur.
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Abstract
The heart organ is very important for the survival of all living things because it plays a role in pumping blood, nutrients and oxygen to all organisms. If the blood supply distributed by the heart is disrupted due to blockages in the main blood vessels or failure of the heart to pump blood throughout the body, this condition is known as coronary heart disease which can cause serious health problems and can even lead to death. Coronary heart disease remains one of the main causes of death in Indonesia. Symptoms that indicate risk factors are very helpful in diagnosing whether a person has heart disease or not. In addition, limited information and media and delays in initial screening for heart disease are also problems. The method that will be used in this study is Naïve Bayes, KNN, Logistic Regression, because these three methods are suitable for studying existing problems. This is reinforced by the existence of previous research that has similarity related to the problems that occur with the method used, so that this method has been tested and is in accordance with this research. In the test scenarios carried out there were several changes made to the system architecture such as changes in the ratio between the use of training data and data testing for all methods respectively amounting to 70:30, 80:20 and 90:10. Then change the value of K in the KNN method from K=1 to K=20. Then in conclusion the logistic regression method has the best performance results with an accuracy value of 86.159%.
| Item Type: | Thesis (Undergraduate) | ||||||||||||
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| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science | ||||||||||||
| Divisions: | Faculty of Computer Science > Departemen of Informatics | ||||||||||||
| Depositing User: | Audhy Audhy Brilliant Pratama | ||||||||||||
| Date Deposited: | 22 Jun 2023 08:53 | ||||||||||||
| Last Modified: | 22 Jun 2023 08:53 | ||||||||||||
| URI: | http://repository.upnjatim.ac.id/id/eprint/14928 |
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