Abstract
PT. Asam Sulfat is industrial Sulfuric Acid that was able to meet the needs of most battery manufacturers in Indonesia. Problems in production operations were mostly caused by production equipment, such as engine stop suddenly, length of set up and adjustment time and decrease of machine production speed. These results caused a decrease level in the efficiency and effectiveness of the engine. This study aims to identify and analyze the machine and components that dominate the sulfuric acid production process damage. The method of analysis used is the Association Rules Algorithm Apriori. Based on the results of initial identification obtained 23 machines and 9 components are often damaged. The variables analyzed include unit, machine type, component, time to repair and turbidity. Using a minimum value of support 0.1 and confidence 0.9 resulted in 17 rules dominated by low turbidity, especially in AT Pump engines and Gasket components. The High turbidity occurred in patterns with the Ash Pump component, The Time to Repair was high and it happened on the Sulfur Pump engine. By knowing the patterns that occurred absolutely the failure in the production process can be more quickly handled.
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