Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Vol 3 No 2 (2019): Agustus 2019

Sistem Pakar Mendiagnosis Penyakit Pada Ikan Gurami Menggunakan Metode Dempster Shafer

Puri Yatna (STMIK Kharisma Karawang)
Yessy Yanitasari (STMIK Kharisma Karawang)
Dedih Dedih (STMIK Kharisma Karawang)



Article Info

Publish Date
02 Aug 2019

Abstract

The limited knowledge possessed by gouramy cultivators on diseases that attack gouramy has become a problem and obstacle in the effort of hatchery and enlargement of gouramy and the lack of experts in gouramy to provide counseling about gouramy diseases, so it is necessary to develop expert system applications aimed at a forum for consultation with experts, diagnosing gouramy disease and providing solutions to prevent diseases of gouramy. In the expert system there are several inference machines that can be used, one of them is using dempster shafers which are mathematical theories for proof based on belief functions and plausible reasoning. Used to calculate the probability of an event obtained from a combination of separate pieces of information (facts). In this study an expert system for diagnosing disease in gouramy using a dempster shafer inference machine resulted in a calculation of the level of confidence in carp disease at the highest 99.85% in Red Disease (Motile Aeromonas Septocemia) and at least 90% in white spot disease (White spot ).

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Journal Info

Abbrev

RESTI

Publisher

Subject

Computer Science & IT Engineering

Description

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) dimaksudkan sebagai media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi. Sebagai bagian dari semangat ...