Sistem Pakar Diagnosis Penyakit Tanaman Cengkeh Menggunakan Metode Naive Bayes (Studi kasus Kecamatan Wonosalam, Jombang)

Setiawan, Andrianto (2018) Sistem Pakar Diagnosis Penyakit Tanaman Cengkeh Menggunakan Metode Naive Bayes (Studi kasus Kecamatan Wonosalam, Jombang). Sarjana thesis, Universitas Brawijaya.

Abstract

Tanaman cengkeh digolongkan kedalam tanaman perkebunan atau industri yang banyak ditanam di Wonosalam. Tetapi tidak semua perkebunan cengkeh adalah milik warga sekitar, melainkan pemiliknya adalah warga dari luar daerah. Hal ini menyebabkan tanaman cengkeh kurang terawat dan akhirnya terserang penyakit. Salah satu metode untuk mendiagnosis penyakit tanaman cengkeh bisa dilakuakan dengan Naive Bayes. Sistem pakar diagnosis penyakit tanaman cengkeh menggunakan metode Naive Bayes ini dapat mempermudah untuk mendeteksi penyakit yang menyerang cengkeh berdasarkan gejala –gejala yang timbul. Metode Naive Bayes diimplementasikan pada mesin inferensi sistem pakar agar dapat melakukan penarikan kesimpulan berdasarkan pengetahuan yang ada pada basis pengetahuan. Hasil yang didapatkan setelah pengujian akurasi sistem yaitu 93% yang menunjukan bahwa metode Naive Bayes cocok untuk kasus penyakit tanaman cengkeh.

English Abstract

Clove plants are classified into plantation crops or industries that are widely grown in Wonosalam. But not all clove plantations belong to the local people, but the owners are residents from outside the region. This causes the plant is less well groomed cloves and eventually attacked by disease. One method to diagnose clove plant disease can be done with Naive Bayes. Clove plant disease diagnosis expert system using Naive Bayes method can make it easier to detect diseases that attack the cloves based on the symptoms that arise. The Naive Bayes method is implemented on an expert system inference engine in order to make inferences based on existing knowledge on the knowledge base. Results obtained after a system accuracy test of 93% indicating that the method of Naive Bayes is suitable for clove plant disease cases.

Item Type: Thesis (Sarjana)
Identification Number: SKR/FTIK/2018/71/051800993
Uncontrolled Keywords: Sistem Pakar, Naive Bayes, Penyakit Tanaman Cengkeh
Subjects: 000 Computer science, information and general works > 004 Computer science > 004.015 1 Finite mathematic
Divisions: Fakultas Ilmu Komputer > Teknik Informatika
Depositing User: Yusuf Dwi N.
Date Deposited: 02 Jul 2018 02:55
Last Modified: 27 Oct 2021 05:29
URI: http://repository.ub.ac.id/id/eprint/11776
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