<![CDATA[Corn is a major commodity in Indonesia, but farmers face serious obstacles such as diseases affecting the fruit or cob, which can significantly reduce yields. Small-scale farmers often struggle to recognize symptoms early due to limited access to agricultural experts. This study aims to develop a web-based expert system specifically for diagnosing corn cob diseases using the Forward Chaining method. This method works by tracing observed symptoms (data-driven) to reach a diagnostic conclusion. The system was developed using PHP, MySQL, and the CodeIgniter 3 framework. Testing using the Black Box method shows that all system functions work as expected, providing fast and accurate diagnostic results and treatment recommendations to help farmers in Seuneubok Rheum Village manage crop diseases independently.]]>
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