Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Vol 2 No 10 (2018): Oktober 2018

Penerapan Algoritme Modified K-Nearest Neighbour Pada Pengklasifikasian Penyakit Kejiwaan Skizofrenia

Anjelika Hutapea (Fakultas Ilmu Komputer, Universitas Brawijaya)
Muhammad Tanzil Furqon (Fakultas Ilmu Komputer, Universitas Brawijaya)
Indriati Indriati (Fakultas Ilmu Komputer, Universitas Brawijaya)



Article Info

Publish Date
14 Feb 2018

Abstract

Schizophrenia is a disease that has a soul crack or a splitting of personality. Problems of mental disorder almost in all countries in the world. Schizophrenia has 5 types: Paranoid, Hebephrenic, Catatonic, Unspecified and Simplex.The similarity of symptoms causes the paramedic difficulty to determine the class of Schizophrenia. Therefore, a system that aims to Schizophrenia classification by applying one of the classification method Modified K-Nearest Neighbor (MKNN). The system will perform the step by calculating the distance of assymetric binary, the calculation of the validity value and weight voting value in order to get the final result that will be used to determine the classification based on the value of K that has been determined. The testing of this system consist of testing the effect of K value and testing the influence of K-Fold value. The result of testing the effect of K value gives the greatest accuracy equal to 37,045% at K=7 and K-Fold=10. The result of testing the effect of K-Fold value gives the greatest accuracy of 28,4462% at K-Fold=5.

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Journal Info

Abbrev

j-ptiik

Publisher

Subject

Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Description

Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian ...