<![CDATA[Peripheral neuropathy is a disorder of the peripheral nerves that can cause sensory, motor, and autonomic disturbances, as well as weakened tendon reflexes. Common early symptoms include numbness, tingling, pain, and a burning sensation, which are often more pronounced at night. Because the symptoms are nonspecific, peripheral neuropathy is often considered a minor complaint, resulting in delayed medical examination. This condition can increase the risk of complications, such as chronic wounds, balance disorders, and impaired limb function. The current problem is that the identification of peripheral neuropathy still relies heavily on the clinical experience of doctors and supporting examination results; therefore, a system is needed to assist the diagnosis process systematically and consistently. This study aims to develop an expert system for diagnosing peripheral neuropathy based on patients’ symptoms using the certainty factor method. The Certainty Factor method is used to determine the level of confidence in a diagnosis based on a combination of expert and user confidence values for the selected symptoms. The system also provides information about the disease and initial treatment recommendations to support the decision-making process. Based on the test results, the highest Certainty Factor value was obtained for Mononeuropathy, with a value of 0.9707 or 97.07%. This value indicates a high level of confidence in the diagnosis based on the symptoms entered. Therefore, the developed expert system is expected to assist in identifying peripheral neuropathy more quickly, consistently, and effectively, while supporting early detection so that appropriate treatment can be provided.]]>
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