SISTEM DIAGNOSA PENYAKIT ANGGREK BULAN MENGGUNAKAN METODE NAIVE BAYES BERBASIS WEBSITE (Studi Kasus: Taman Anggrek Sekar Gumilang Desa Ketenger)

Prasetyo, Fandy Yuniawan (2022) SISTEM DIAGNOSA PENYAKIT ANGGREK BULAN MENGGUNAKAN METODE NAIVE BAYES BERBASIS WEBSITE (Studi Kasus: Taman Anggrek Sekar Gumilang Desa Ketenger). Other thesis, Universitas Amikom Purwokerto.

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Abstract

The moon orchid is an ornamental plant that has high aesthetic value and has an important meaning in the flower trade. With care that is not simple, it is possible for the moon orchid to experience common problems such as diseases in the moon orchid plant which can be fatal if the symptoms are not immediately identified. In diagnosing lunar orchid disease, ornamental plant farmers still use a simple method by observing the symptoms that exist in lunar orchid plants so that it takes time to determine a lunar orchid disease found in these plants. In this case, a media that acts as an expert is needed to help farmers, considering the limited knowledge about lunar orchid disease and the lack of extension workers to conduct socialization of care and prevention of lunar orchid disease. Research on lunar orchid disease diagnosis expert system aims to design and build a system to diagnose lunar orchid disease. The inference model used in making this expert system is the Naive Bayes method. Determination in diagnosing expert systems is done through a consultation process between the system and the user. The answer is adjusted to the rules in the system, if the answer is entered according to the applicable rules, the system will provide diagnostic results in the form of information on lunar orchid disease contained in the plant. Meanwhile, data collection methods to support research include: interviews and literature review. In making an expert system with the naive bayes method, it is hoped that it can help farmers in making an initial diagnosis of lunar orchid disease and providing solutions to overcome lunar orchid disease.
Item Type: Thesis (Other)
Additional Information: Dosen PEmbimbing: Desty Rakhmawati, S.Si., M.Sc. dan Nandang Hermanto, M.Kom.
Uncontrolled Keywords: Anggrek Bulan. Sistem Pakar, Naive Bayes
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: UPT Perpustakaan Pusat Universitas Amikom Purwokerto
Date Deposited: 31 Aug 2022 03:17
Last Modified: 31 Aug 2022 03:17
URI: https://eprints.amikompurwokerto.ac.id/id/eprint/1345

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