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@article{JMASIF31452, author = {Muhammad Yuniarto and Eko Sarwoko}, title = {Implementasi Metode K-Nearest Neighbor untuk Diagnosis Kanker Kolorektal dengan Biomarker Micro-RNA}, journal = {JURNAL MASYARAKAT INFORMATIKA}, volume = {11}, number = {1}, year = {2020}, keywords = {}, abstract = {Kanker Kolorektal merupakan keganasan yang berasal dari jaringan usus besar, terdiri dari kolon dan/ atau rektum. Salah satu metode skrining kanker kolorektal yaitu microRNA. Micro-RNA merupakan nukleotida yang berukuran pendek (sekitar 18-25 basa nukleotida) yang berperan dalam berbagai proses intraseluler dengan mengatur ekspresi gen. Micro-RNA yang mempengaruhi kanker kolorektal adalah miR-21, miR-31, miR- 135b, miR-183, miR-222, miR-145, dan miR-195. Metode K-Nearest Neighbor digunakan untuk melakukan klasifikasi data micro-RNA. Dataset yang digunakan berjumlah 600 data, terdiri dari 300 data normal, dan 300 data kanker kolorektal. Dataset terdiri dari 7 ekspresi micro-RNA beserta label datanya, kanker kolorektal atau normal. Pembagian dataset menjadi data latih dan data uji menggunakan metode K-Fold Cross Validation. Berdasarkan pengujian yang dilakukan dengan menggunakan 10-Fold Cross Validation, metode K-Nearest Neighbor menghasilkan accuracy terbaik pada K=3 dengan accuracy 94,17%, specificity 94,43%, dan sensitivity 94,41%.}, issn = {2777-0648}, pages = {35--48} doi = {10.14710/jmasif.11.1.31452}, url = {https://ejournal.undip.ac.id/index.php/jmasif/article/view/31452} }
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