Implementasi Metode K-Nearest Neighbor untuk Diagnosis Kanker Kolorektal dengan Biomarker Micro-RNA

Muhammad Sofi Yuniarto; Eko Adi Sarwoko

doi:10.14710/jmasif.11.1.31452

DOI: https://doi.org/10.14710/jmasif.11.1.31452

Implementasi Metode K-Nearest Neighbor untuk Diagnosis Kanker Kolorektal dengan Biomarker Micro-RNA

Muhammad Sofi Yuniarto , Eko Adi Sarwoko

Published: 2 Jun 2020.

Editor(s): Jurnal Masyarakat Informatika

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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%.

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Section: Research Article

In Vol 11, No 1 (2020): JURNAL MASYARAKAT INFORMATIKA

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