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Diagnose Pest and Disease of Black Orchid Plant Using Naive Bayes Method

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L7 gab rev Prof Agus_Prof Saiful_blackorchid_protected.pdf (890.4Kb)
Date
2021-10-06
Author
Gifari, Okta Ihza
Agus, Fahrul
Ramadiani, Ramadiani
Azhari, Muhamad
Sunyoto, Andi
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Abstract
Abstract— Coelogyne pandurata or better known by Kalimantan Black Orchid. This plant is an epiphytic orchid that is attached to other plants but is not dangerous. This orchid is one of Kalimantan’s endemic plants that require human intervention to save its sustainability. Black Orchid Plants are very susceptible to various pests and diseases; therefore, applications are needed that can provide insight to ornamental plant farmers. This study uses the Naïve Bayes methods in the application of Expert Systems to diagnose pests and diseases of Black Orchid plants. There are 24 types of symptoms and nine types of diagnostic results. The results of this study are expected to provide a solution for cultivating Black Orchid plants so that they can find out the symptoms of pests and plant diseases early on. Nine diagnostic results consist of 4 types of pests and five types of disease. This application has a Mean Absolute Percentage Error (MAPE) value of 2.456%.
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http://repository.unmul.ac.id/handle/123456789/10237
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Repository Universitas Mulawarman copyright ©   LP3M Universitas Mulawarman
Jalan Kuaro Kotak Pos 1068
Telp. (0541) 741118
Fax. (0541) 747479 - 732870
Samarinda 75119, Kalimantan Timur, Indonesia
Contact Us | Send Feedback