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Vol. 17 No. 02 (2023): Jurnal Teknologi Komputer, Edition Desember 2023

Expert System Diagnosing Diseases in Aglaonema Plants Using the Dempster Shafer Method

Kristina, Dewi (Unknown)
Simanjorang, R. Mahdalena (Unknown)



Article Info

Publish Date
30 Dec 2023

Abstract

Aglaonema is an ornamental plant called Sri Fortune or Chinese Evergreen. This plant grows well in the tropics. One of the common problems in aglaonema plants is the emergence of diseases that cause plant damage. So we need an expert system that can help the community to diagnose the disease as an initial treatment in disease control. The expert system was built using the Dempster Shafer method by entering disease data and symptoms which aims to determine the disease experienced by the Aglaonema plant without having to manually diagnose. The results showed how the process of calculating the initial combination rule to the last combination rule was based on the selected symptoms, so it could be concluded that the highest density value was Bacterial Stem Rot disease with a density value of 0.8881 or 88.81%.

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Journal Info

Abbrev

Login

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Is a journal managed by the SEAN Institute, this journal discusses science in the field of Computer Science, Appropriate Computer Technology, Information System Design, as a forum for pouring research results both conceptually and technically related to information science. Journal Login is ...