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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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%.

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