Continuous Ship Unloader Availability Analysis Using Association Rules Method with Apriori Algorithm


 Petrokimia Gresik is a company engaged in the argo industry. In an effort to increase productivity, PT. has special port used for loading and unloading activities. During activities, equipment needed make it easier move cargo. Not infrequently this suffers damage that not known what object affects damage. Based on 2021 Asset Utilization Data, internal tools whose availability still below target of more than 1% are CSU I 81.66%. The percentage causes process raw materials be optimal can cause demurrage costs or fines ship if immediately identified addressed. This study aims help companies obtain information about objects affect II experiencing breakdowns. role data mining will research association rules with priori algorithms. Data processing assisted by Microsoft Excel, RapidMiner software WEKA software. There no formed application minimum support value 50% confidence, both processing. applying 20% confidence 3 rules, while obtained 2 rules. II, breakdown item likely damaged Vertical – Motor 2M1.