IDENTIFIKASI PENYAKIT DAN HAMA PADA TANAMAN ANGGREK BULAN DENGAN METODE CERTAINTY FACTOR (STUDI KASUS KIOS HIJAU)
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
HIDAYATI, WINDY NUR
Asri, Yessi
Kuswardani, Dwina
Asri, Yessi
Kuswardani, Dwina
Subject
Teknik Informatika
Datestamp
2022-09-20 03:51:06
Abstract :
Plants Improper handling in eradicating pests and diseases on plants can of course harm the Kiosk owner. Incorrect identification of the type of pest or disease results in an inaccurate selection of treatment efforts, because pests are classified into several groups or types. To help the owner of the Green Kiosk avoid continuous losses due to incorrect identification of diseases and pests on orchids, the researchers created an expert system website to produce accurate diagnoses. In this system using the Certainty Factor (CF) calculation method, starting with designing a system based on the acquisition of knowledge obtained from pediatricians, then proceeding with building a knowledge base and assigning CF values to each symptom associated with a child's disease by giving a range of values 0 and 1. The results obtained are in the form of expert work in diagnosing pests and diseases of lunar orchids, a list of questions, and rules. The implementation results are tested to ensure that the application meets user needs. The test was carried out using a blackbox. The trial was also carried out by asking the expert to diagnose two cases of orchid plants and comparing the results of the diagnosis between the expert and the application. Trials were also carried out by asking experts to diagnose two cases of orchids and comparing the diagnostic results between the experts and the application. Application users and the general public, can be used to identify types of pests and diseases that attack the Moon Orchid plant.
Plants Improper handling in eradicating pests and diseases on plants can of course harm the Kiosk owner. Incorrect identification of the type of pest or disease results in an inaccurate selection of treatment efforts, because pests are classified into several groups or types. To help the owner of the Green Kiosk avoid continuous losses due to incorrect identification of diseases and pests on orchids, the researchers created an expert system website to produce accurate diagnoses. In this system using the Certainty Factor (CF) calculation method, starting with designing a system based on the acquisition of knowledge obtained from pediatricians, then proceeding with building a knowledge base and assigning CF values to each symptom associated with a child's disease by giving a range of values 0 and 1. The results obtained are in the form of expert work in diagnosing pests and diseases of lunar orchids, a list of questions, and rules. The implementation results are tested to ensure that the application meets user needs. The test was carried out using a blackbox. The trial was also carried out by asking the expert to diagnose two cases of orchid plants and comparing the results of the diagnosis between the expert and the application. Trials were also carried out by asking experts to diagnose two cases of orchids and comparing the diagnostic results between the experts and the application. Application users and the general public, can be used to identify types of pests and diseases that attack the Moon Orchid plant.
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