Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Vol 7 No 3 (2023): Maret 2023

Klasifikasi Penyakit Tanaman Kacang Tanah menggunakan Metode MKNN (Modified K-Nearest Neighbor)

Ninda Silvia Tri Cahyani (Fakultas Ilmu Komputer, Universitas Brawijaya)
Nurul Hidayat (Fakultas Ilmu Komputer, Universitas Brawijaya)
Edy Santoso (Fakultas Ilmu Komputer, Universitas Brawijaya)



Article Info

Publish Date
08 Mar 2023

Abstract

Peanuts (Arachis hypogaea) are a food crop consumed by the Indonesian people. The demand for peanuts has steadily increased to 900,000 tons, with an average annual production of 783,110 tons, or approximately 87.01%. In 2018, the value of Indonesian peanut production fell in comparison to previous years. According to the Central Statistics Agency (2018), Indonesia produced 512,198 tons of peanuts in 2018, a decrease from 638,896 tons the previous year. Several factors contribute to Indonesia's low peanut production. Pathogens such as fungi, bacteria, and nematodes attack one of them. The availability of software to assist farmers in diagnosing peanut plant diseases will be extremely beneficial in overcoming peanut crop failure caused by peanut plant disease attacks. The MKNN Modified K-Nearest Neighbor method was used in this classification of peanut plant diseases. The Modified K-Nearest Neighbor (MK-NN) method can be used to classify peanut plant diseases using two types of tests: testing the effect of the amount of training data on accuracy and testing the effect of the K value on accuracy, with 30 test data. This system is designed to assist farmers in determining the disease of peanut plants in peanut crop failures caused by attacks. System To classify with a 97% accuracy rate.

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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 ...