Sistem Pakar Diagnosis Penyakitpadatanaman Kopi Robusta Menggunakanmetode Similarity
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Institusion
Institut Teknologi Telkom Purwokerto
Author
Dimas, Septian Putra Hidayat
Subject
TA Engineering (General). Civil engineering (General)
Datestamp
2022-10-12 04:24:21
Abstract :
The Sudanese hamlet in Kutasari sub-district is a robusta cof ee producer. The problem faced is that disease in robusta cof ee plants can reduce crop yields. Many Sudanese hamlet farmers do not know about the disease in cof ee plants. Many cof ee plants are not managed properly because of the lack of informationthat cof ee farmers know about the types of diseases that attack cof ee plants and how to overcome these diseases. If this continues, it will af ect crop yields. The problems faced by Robusta cof ee farmers must be overcome in an easier way, for example with the help of a cof ee plant disease detection system. One example of an automated system is an expert system. An expert system is a computer-based informationsystem that uses expert knowledge to determine decision making. The purpose of this study is to design anexpert system to diagnose diseases that exist in cof ee plants using the similarity method. In the similarity method, the steps are used to identify similarities or similarities between stored cases and new cases. The case with the highest similarity value is considered the most similar case. Farmers still have the opportunity that crop failure will af ect crop yields with poor quality, from this case farmers need support to maintainagricultural conditions, in this case to reduce crop failures. The results of this study are an expert systemfor diagnosing diseases in robusta cof ee plants using the Similarity method. Tests are carried out using the BlackBox method to test functionality for accuracy testing. The results of the blackbox accuracy test carriedout obtained a value of 100%. Keywords : Cof ee Robusta Plants, Expert System, Similarity, Website
The Sudanese hamlet in Kutasari sub-district is a robusta cof ee producer. The problem faced is that disease in robusta cof ee plants can reduce crop yields. Many Sudanese hamlet farmers do not know about the disease in cof ee plants. Many cof ee plants are not managed properly because of the lack of informationthat cof ee farmers know about the types of diseases that attack cof ee plants and how to overcome these diseases. If this continues, it will af ect crop yields. The problems faced by Robusta cof ee farmers must be overcome in an easier way, for example with the help of a cof ee plant disease detection system. One example of an automated system is an expert system. An expert system is a computer-based informationsystem that uses expert knowledge to determine decision making. The purpose of this study is to design anexpert system to diagnose diseases that exist in cof ee plants using the similarity method. In the similarity method, the steps are used to identify similarities or similarities between stored cases and new cases. The case with the highest similarity value is considered the most similar case. Farmers still have the opportunity that crop failure will af ect crop yields with poor quality, from this case farmers need support to maintainagricultural conditions, in this case to reduce crop failures. The results of this study are an expert systemfor diagnosing diseases in robusta cof ee plants using the Similarity method. Tests are carried out using the BlackBox method to test functionality for accuracy testing. The results of the blackbox accuracy test carriedout obtained a value of 100%. Keywords : Cof ee Robusta Plants, Expert System, Similarity, Website
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