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The problems faced at at XX sugarcane industry is low reliability. The purpose of this study is to identify the critical subsystems that causes low reliability and to determine the optimal interval of scheduled planned maintenance. By using the machine failure data can be obtained the reliability estimation for each subsystem for different time intervals. As a results of the analysis show that the Stalk Hammer and Hammer Tip is the most critical subsystem. The result shows reduced the frequency of failure from 326 times to 162 times, and increasing availability from 86.5% to 90.5%.