Applying certainty factor method to identify diseases in rice plants


  • Bangkit Indarmawan Nugroho STMIK YMI Tegal, Indonesia
  • Ahmad Miftakhuddin STMIK YMI Tegal, Indonesia
  • Syefudin Syefudin STMIK YMI Tegal, Indonesia
  • Gunawan Gunawan STMIK YMI Tegal, Indonesia



Certainty Factor, Diagnosis, Disease, Expert System, Rice Plant


Rice (Oryza Sativa L) is the most important food crop in the world after wheat and corn, as well as the main source of protein for most of the world's population, especially in Asia. The Save Swamps for Prosperous Farmers (Serasi) program in Central Java Territory cannot run well considering the tall capacity of existing rice agriculturists to bargain with bugs and maladies of the rice they plant, so it is essential to make a device within the frame of an master framework for diagnosing rice plant infections.  For this reason, it is very important to be aware of the factors that influence production levels. Disease is one of the most detrimental factors in rice production, where many losses are caused by disease. Each of these diseases generally shows symptoms of the disease suffered before it reaches a more severe and widespread stage, these symptoms can be recognized by carrying out a diagnosis first. This can be done using an expert system. In this research, an expert system was utilized which was made utilizing the certainty figure strategy, with a test of 25 ranchers within the West Tegal Area, Tegal City. From the comes about of the inquire about carried out, it was concluded that with this framework the level of exactness obtained using the posttest contains a esteem of 100%, in other words the framework encompasses a decently tall level of accuracy.


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How to Cite

Nugroho, B. I., Miftakhuddin, A., Syefudin, S., & Gunawan, G. (2024). Applying certainty factor method to identify diseases in rice plants. Jurnal Mandiri IT, 13(1), 143–151.

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