Identifikasi jamur menggunakan metode K-nearest neighbor dengan ekstraksi ciri morfologi

Zubair, Anis and Muslikh, Ahmad Rofiqul (2017) Identifikasi jamur menggunakan metode K-nearest neighbor dengan ekstraksi ciri morfologi. Seminar Nasional Sistem Informasi 2017. ISSN 2597 - 4696

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Official URL: https://seminar.unmer.ac.id/index.php/senasif/2017...

Abstract

Fungus is a plant widely consumed by the general public, but not all mushrooms can be consumed directly, due to the types of mushrooms that are feasible to consume and still too difficult to distinguish, then there are several ways to identify the fungus is by morphology. By way of morphological extraction of toxic and non-toxic fungi are identified more accurately. The morphological extraction process here uses the KNN (K-Nearest Neighbor) classification approach. Using these KNN approaches and With 10 experiments using various k values, finally using k = 60, the accuracy reached 99%.

Item Type: Article
Additional Information: Ahmad Rofiqul Muslikh NIDN: 0724038903
Uncontrolled Keywords: mushroom identification, mushrooms clasication, KNN, morphology identification, morphology extraction
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
S Agriculture > SB Plant culture
Divisions: Fakultas Teknologi Informasi > S1 Sistem Informasi
Depositing User: Surya Dannie
Date Deposited: 11 Sep 2019 06:12
Last Modified: 20 Sep 2019 02:13
URI: http://eprints.unmer.ac.id/id/eprint/46

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