Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Vol 3 No 1 (2019): Januari 2019

Diagnosis Penyakit Cabai Menggunakan Metode Fuzzy K-Nearest Neighbor (FKNN)

Wildan Gita Akbari (Fakultas Ilmu Komputer, Universitas Brawijaya)
Nurul Hidayat (Fakultas Ilmu Komputer, Universitas Brawijaya)
Nurudin Santoso (Fakultas Ilmu Komputer, Universitas Brawijaya)



Article Info

Publish Date
17 Sep 2018

Abstract

Red chili pepper (Capsicum annum l.) is one of the many vegetable commodities consumed by the people of Indonesia, both as a food and flavoring the fulfillment of nutrition. Among commodities, vegetable chilli is vegetables that have the highest economic potential, and the area of pertanaman including the widest chilies among other vegetables (Darmawan and Pasandaran 2000). However, the level of productivity of the chili belongs is still low. Fuzzy K-NN classification is a method that combines technique with fuzzy K-Nearest Neighbor Classifier. Algorithms of Fuzzy K-Nearest Neighbor gives value to the membership class on test data rather than putting test data on a particular class. F-KNN classification is a method used to predict the test data using the value of the degrees of membership test data on each class. The required variable in this study was chilli plant disease symptoms. Highest accuracy of the test results is when K = 5 the value of 92%.

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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 ...