Abstract

Damage to fishing boat engines occurs due to negligence in carrying out maintenance. We often see fishermen complaining, or the fishermen themselves have experienced confusion if the fishing boat they are using suddenly experiences an engine failure on the way to the sea. They can run ships, but many do not understand or do not know how to detect damage to ship engines early because they often ignore or underestimate the signs of damage to the ship. The knowledge system in this system can classify machine damage based on the symptoms experienced so that it can be concluded that the machine damage experienced by the user. Bayes' theorem is the method used by the author to solve problems in this expert system. This system will display questions where the questions are in accordance with the symptoms that have been input by the admin (expert) so that the results of calculations from these questions are obtained using the concept of probability or probability. In the system, login is only used by admins or experts where admins or experts can enter to edit data in the system

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