Information technology has been developed rapidly to increase as both communication entertainment education. The logistics, they benefit from the technology that has been developed. Shop system (Store Front), which serves to connect retailers with a centralized system to manage inventory. Accounting and other systems bar code is in the data store. That this information is useful not only for administration purposes only. But these data can also be beneficial to increase sales or improve the prediction of demand, with more accuracy. These data can be collected for or knowledge of database approach. "Data mining (Data Mining), which can be useful to manage and contribute to a practitioner can decide to plan more effectively.Data mining is the process of finding a relationship and bring knowledge from data use. Data mining relies on methods from artificial intelligence (Artificial Intelligence) to search for patterns or behavior by a group of data. By looking into the relationship (Association Rule) rules for the classification data (Data Classification) groups information (Data Clustering), and speculative (Visualization), tv, data mining has been popular. The current system has led to mine data as Add-Ins in spreadsheet programs (i.e., Excel Spreadsheet).Data mining is applied in logistics.1) warehouse management which items, item groups, two or three groups will probably not significant statistical edge per. But many times these two items were retrieved from a warehouse at the same time. A data mining system, hunting methods, rules, relationships and responsible for the warehouse position to apply these rules to store items, so a trip to pick up an item from the repository using the time and finding fewer items. Another example is retail store shelves in a supermarket. Some items are not likely to be paired with beer and diapers, for example, will be placed in a position close to each other, because data mining finds that people who buy diapers often purchase beer with (why, because Butler is the maid to buy diapers, and Butler would make the purchase of beer, titklap.)2) optimization proof requirements of customers will find the style trends demand of consumers that there is a limit in the calculation of the statistical method.3) analysis of the capabilities of the ship the raw material supplier (Supplier), on the basis of the data, such as price, delivery period, the quality of the raw material supplier purchasing methods can be used to group data (Data Clutering) breaking down the delivery of raw materials.How data mining can also be put to use in many aspects. For example, the Bank can use classified information (Data Classification) in the analysis of whether a team that has the risk of debt default to assist in considering loans to manage relationships with customers (Customer Relationship Management) to assist in the analysis, which has a tendency to respond to public relations through a letter or flyer. Instead of sending out a flyer to a lot. It also is used to group customers according to their requirement to use the product. Data mining would start coming in our House at the time of the other. Therefore, the understanding and use of data mining methods, it is important to choose a used data mining software for optimization of investment funds, and both yield to be obtained.
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