ELVANSEN, ELSEN and Primartha, Rifkie and Miraswan, Kanda Januar (2021) PERBANDINGAN ALGORITME K-NEAREST NEIGHBOR DAN FUZZY K- NEAREST NEIGHBOR UNTUK MENDIAGNOSA PENYAKIT HATI. Undergraduate thesis, Sriwijaya University.
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Abstract
Hati merupakan salah satu organ terpenting bagi manusia. Karena hati memiliki tugas utama yaitu menetralkan racun yang masuk ke tubuh baik melalui makanan maupun lingkungan, jika Organ hati rusak maka hal ini dapat mengganggu kemampuan tubuh manusia untuk beraktifitas, Salah satu cara untuk mendiagnosis terkena penyakit hati adalah dengan teknik klasifikasi pada data mining, penelitian ini membandingkan K-nearest neighbor dan Fuzzy k-nearest neigbor manakah metode terbaik untuk mendiagnosa penyakit hati, hasil pengujian dengan menggunakan data Indian liver patient menunjukan metode Fuzzy k-nearest neigbor mendapat akurasi paling baik 75% lebih baik dibandingkan K-nearest neigbor 70% dengan jumlah data latih 60% dan jumlah k sebanyak 5
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | kecerdasan Buatan, pembelajaran mesin |
Subjects: | Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. |
Divisions: | 09-Faculty of Computer Science > 55201-Informatics (S1) |
Depositing User: | Users 9849 not found. |
Date Deposited: | 18 Jan 2021 03:45 |
Last Modified: | 18 Jan 2021 03:45 |
URI: | http://repository.unsri.ac.id/id/eprint/39934 |
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