Diagnosis Penyakit Tanaman Apel di Indonesia Dengan Pemodelan Pada Sistem Pakar  

Oleh:

Buliali, Joko Lianto ; Erfiandi, Yazid Priadi ; Abadi, Latief

Jenis: Article from Journal - ilmiah nasional - tidak terakreditasi DIKTI
Dalam koleksi: Gematika: Jurnal Manajemen Informatika vol. 7 no. 2 (Jun. 2006), page 77-90.
Topik: PENYAKIT TUMBUH-TUMBUHAN; apple; diseases; expert system; model; xpertrule

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: GG4.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

Detecting apple plant diseases require analysis and diagnosis from an expert. Indonesia scarce of apple plant diseases expert. This paper proposes an expert system that enables non - expert users to diagnose diseases. Expert - knowledge apple plant diseases is modelled in the knowledge base. Knowledge base structure follows Xpert - Rule in developing the system. Dialogs are made interactive and easy so that non - expert users can use it. Results show that the system can diagnose and identify apple plant diseases and provides currative suggestion based on the level of disease severeness. The diagnosis, identification and provides currative suggestion are verified with an experts judgement.

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