PRATAMA, A.FAJRI MAHENDRA and Utami, Alvi Syahrini and Oktadini, Nabila Rizky (2022) IMPLEMENTASI METODE FUZZY C-MEANS DAN LEARNING VECTOR QUANTIZATION SEBAGAI PENENTUAN PENYAKIT HEPATOCELLULAR CARSINOMA. Undergraduate thesis, Sriwijaya University.
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Abstract
Hepatocellular Carsinoma (HCC) atau sering disebut kanker hati merupakan penyakit kanker yang banyak terjadi di dunia, yaitu peringkat ke-6 dari berbagai jenis kanker yang lain. Pada laki-laki, Hepatocellular Carsinoma merupakan penyebab kematian ke-5 dan peringkat ke-9 pada perempuan Hasil pengujian dengan perangkat lunak didapatkan bahwa ada 102 pasien yang beresiko terkena dan 0 pasien yang tidak beresiko. Untuk nilai sensitivitas mendapatkan 100% yang beresiko dan 0% untuk yang tidak beresiko, sedangkan nilai spesifisitas mendapatkan 0% beresiko dan 100% beresiko. Tingkat akurasi yang diperoleh 61,81% dan tingkat laju eror sebesar 38,18%. Kata Kunci : Hepatocellular Carsinoma (HCC), Fuzzy C-Means Clustering, Learning Vector Quantization
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Hepatocellular Carsinoma (HCC), Fuzzy C-Means Clustering, Learning Vector Quantization |
Subjects: | G Geography. Anthropology. Recreation > GV Recreation Leisure > GV1469.15-1469.62 Computer games. Video games. Fantasy games Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. Q Science > QA Mathematics > QA1-939 Mathematics > QA9.64.A56 Computer science. Fuzzy mathematics. |
Divisions: | 09-Faculty of Computer Science > 55201-Informatics (S1) |
Depositing User: | A.fajri Mahendra Pratama |
Date Deposited: | 24 Nov 2022 06:50 |
Last Modified: | 24 Nov 2022 06:50 |
URI: | http://repository.unsri.ac.id/id/eprint/82573 |
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