Legiatik Legiatik
STMIK Kaputama Binjai

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Penerapan Metode Certainty Factor Mendiagnosa Penyakit pada Tanaman Mentimun Legiatik Legiatik; Hotler Manurung; Melda Pita Uli Sitompul
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 4 No. 4 (2026): Oktober: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v4i4.1828

Abstract

Cucumber (Cucumis sativus L.) is one of the horticultural commodities with economic value and is widely cultivated by farmers, including the BATARA F1 hybrid cucumber variety. However, crop productivity often decreases due to various diseases that show similar symptoms, making it difficult for farmers to accurately identify the type of disease. The problems faced by the Agriculture Office of Binjai City include limited farmers' knowledge and lack of access to agricultural experts in diagnosing cucumber diseases. This study aims to develop an expert system to assist farmers in diagnosing diseases affecting the BATARA F1 hybrid cucumber variety based on the symptoms observed. The method used is the Certainty Factor (CF) method to calculate the level of confidence in the diagnosis based on the symptoms selected by the user. The system provides information including the disease name, Certainty Factor value, confidence percentage, and appropriate treatment recommendations. Based on the test results, Powdery Mildew obtained the highest Certainty Factor value of 0.9923 or 99.23%, indicating a very high level of confidence in the diagnosis. The diagnosis results can also be stored in the diagnostic history and printed as reports. Therefore, the developed expert system can assist farmers in diagnosing cucumber diseases more quickly and provide appropriate treatment information.