Sistem Pakar Diagnosis Penyakit Tanaman Tomat Menggunakan Metode Certainty Factor Berbasis Web (Studi Kasus Kelompok Tani Kampung Daun – Baumata)

KOA, Septania Imanuella (2021) Sistem Pakar Diagnosis Penyakit Tanaman Tomat Menggunakan Metode Certainty Factor Berbasis Web (Studi Kasus Kelompok Tani Kampung Daun – Baumata). Undergraduate thesis, Universitas Katolik Widya Mandira Kupang.

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Abstract

High tomato production occurred in 2020 in January reaching 15-20 tons/ha, then continued to decline until March, namely 5-10 tons/ha, then gradually increased again until June-August the total production level produced 10-15 tons/ha, then decreased until November-December where it only produced a total tomato production of about 10 tons/ha and increased again in January the following year. This is due to the limitations of plant cultivation such as diversity of soil types, disease and weed control, fertilization and post-harvest handling. From the existing problems, it is necessary to create a Web-based expert system application that can help farmers diagnose diseases in tomato plants. This research uses the Certainty Factor method which can work in the future to get a solution that follows the facts. The application is built using the PHP programming language and MySQL database. The result of this study is an expert system that can assist in diagnosing diseases in tomato plants without having to wait for plant experts to arrive. The use of this expert system can assist farmers in diagnosing diseases in tomato plants and can provide information about diseases and symptoms in tomatoes in order to avoid these diseases.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Expert System, Tomato, Certainty Factor, Web.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Fakultas Teknik > Program Studi Ilmu Komputer
Depositing User: S.Kom Septania Imanuella Koa
Date Deposited: 12 Sep 2022 00:52
Last Modified: 12 Sep 2022 00:52
URI: http://repository.unwira.ac.id/id/eprint/8548

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