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All Journal Elkom: Jurnal Elektronika dan Komputer
Aprilia Ferawati Ndaumanu
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SISTEM PAKAR DIAGNOSA PENYAKIT TANAMAN JAGUNG MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB rudjiono, daniel; Setiyo Adi Nugroho; Agus Priyadi; Aprilia Ferawati Ndaumanu
Elkom : Jurnal Elektronika dan Komputer Vol 17 No 1 (2024): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v17i1.1889

Abstract

Abstract - Corn plants are one of the plants that are easy to grow and relatively fast to get results but also a plant that is vulnerable to pests and diseases. The symptoms that arise require an expert or agricultural expert to be able to diagnose. Limited time and expert labor is one of the causes of delayed diagnosis, causing a decrease in farmers' yields. This is the basis for making this expert system by adopting knowledge from agricultural experts about the symptoms of corn disease using the Forward Chaining method. To support the research conducted, researchers used the Research and Development (R&D) research method and the design used the Object Oriented Programming (OOP) method using the Unified Modeling Language (UML). Software is built using the PHP programming language, MySQL as a database, and Bootstrap as an interface design with a web-based system.
SISTEM PAKAR DIAGNOSA PENYAKIT TANAMAN JAGUNG MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB Rudjiono, Daniel; Setiyo Adi Nugroho; Agus Priyadi; Aprilia Ferawati Ndaumanu
Elkom: Jurnal Elektronika dan Komputer Vol. 17 No. 1 (2024): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v17i1.1889

Abstract

Abstract - Corn plants are one of the plants that are easy to grow and relatively fast to get results but also a plant that is vulnerable to pests and diseases. The symptoms that arise require an expert or agricultural expert to be able to diagnose. Limited time and expert labor is one of the causes of delayed diagnosis, causing a decrease in farmers' yields. This is the basis for making this expert system by adopting knowledge from agricultural experts about the symptoms of corn disease using the Forward Chaining method. To support the research conducted, researchers used the Research and Development (R&D) research method and the design used the Object Oriented Programming (OOP) method using the Unified Modeling Language (UML). Software is built using the PHP programming language, MySQL as a database, and Bootstrap as an interface design with a web-based system.
Co-Authors Agus Priyadi Daniel Rudjiono Raden Mohamad Herdian Bhakti