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

Akbari, Wildan Gita (2018) Diagnosis Penyakit Tanaman Cabai Menggunakan Metode Fuzzy K-Nearest Neighbor (FKNN). Sarjana thesis, Universitas Brawijaya.

Abstract

Cabai merah (Capsicum annum L.) merupakan salah satu komoditas sayuran yang banyak dikonsumsi oleh masyarakat Indonesia, baik sebagai penyedap makanan maupun untuk pemenuhan gizi. Di antara komoditas sayuran, cabai merupakan sayuran yang memiliki potensi ekonomi tertinggi, dan areal pertanaman cabai termasuk yang terluas di antara sayuran lainnya (Darmawan dan Pasandaran 2000). Meskipun begitu, tingkat produktivitas cabai tergolong masih rendah. Fuzzy K-NN merupakan metode klasifikasi yang menggabungkan teknik fuzzy dengan K-Nearest Neighbor Classifier. Algortima Fuzzy K-Nearest Neighbor memberikan nilai keanggotaan kelas pada data uji bukan menempatkan data uji pada kelas tertentu. FK-NN merupakan metode klasifikasi yang digunakan untuk memprediksi data uji menggunakan nilai derajat keanggotaan data uji pada setiap kelas. Variabel yang dibutuhkan dalam penelitian ini adalah gejala-gejala penyakit tanaman cabai. Akurasi tertinggi yang didapatkan dari hasil pengujian adalah ketika K = 5 yaitu dengan nilai 92%.

English 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. FK-NN 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%.

Item Type: Thesis (Sarjana)
Identification Number: SKR/FTIK/2018/821/051809798
Uncontrolled Keywords: penyakit cabai, fuzzy, k-nearest neighbor chilli disease, fuzzy, k – nearest neighbor
Subjects: 600 Technology (Applied sciences) > 632 Plant injuries, diseases, pests > 632.3 Diseases / Plant diseases > 632.302 85 Diseases (Computer applications)
Divisions: Fakultas Ilmu Komputer > Teknik Informatika
Depositing User: Budi Wahyono Wahyono
Date Deposited: 15 Mar 2019 06:58
Last Modified: 22 Oct 2021 06:55
URI: http://repository.ub.ac.id/id/eprint/162112
[thumbnail of Wildan Gita Akbari.pdf] Text
Wildan Gita Akbari.pdf

Download (10MB)
[thumbnail of Thumbnails conversion from text to thumbnail_lightbox] Other (Thumbnails conversion from text to thumbnail_lightbox)
lightbox.jpg

Download (14kB)
[thumbnail of Thumbnails conversion from text to thumbnail_preview] Other (Thumbnails conversion from text to thumbnail_preview)
preview.jpg

Download (6kB)
[thumbnail of Thumbnails conversion from text to thumbnail_medium] Other (Thumbnails conversion from text to thumbnail_medium)
medium.jpg

Download (3kB)
[thumbnail of Thumbnails conversion from text to thumbnail_small] Other (Thumbnails conversion from text to thumbnail_small)
small.jpg

Download (1kB)

Actions (login required)

View Item View Item