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APLIKASI DIAGNOSIS PENYAKIT PADA TUMBUHAN TOMAT BERBASIS WEBSITE Mirna Niawati; Ferly Ardhy; Tahta Herdian Andika; Panji Bintoro
Jurnal informasi dan komputer Vol 11 No 02 (2023): Jurnal Informasi dan Komputer yang terbit pada tahun 2023 pada bulan 10 (Oktobe
Publisher : STMIK Dian Cipta Cendikia Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35959/jik.v11i02.541

Abstract

Tomato fruit as a seasonal crop that is very popular in Indonesia, often faces obstacles in its production due to disease attacks that are often not identified by farmers, which ultimately has an impact on decreasing crop yields for farmers. In this study, researchers apply the if-then function in which it determines the type of disease based on data and facts from an expert. This research resulted in an application of diagnosing tomato plant diseases using the method of developing an extreme proggraming system, with the aim that this application can help farmers to diagnose the early stages of the type of disease based on the symptoms experienced.