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Abstract. Sending a message via e-mail is the most efficient, faster, and cheaper. Email is a communication tool, file transfer, as well as advertising media through the internet. With the advantages of e-mail, not all users take advantage of the good email. Many users send emails with messages containing viruses, advertisements, and fraud. This email is called spam email. To overcome this problem. To solve this problem, it should be made a research to develop an application of text mining using Support Vector Machine (SVM) method that is capable of classifying to differentiate between spam and non-spam emails according to specific criteria. Text mining is the process of data mining in the form of text where the source data is usually obtained from the documents and the goal is to find words that can represent the contents of the document so it can be analyzed connectedness between documents. In text mining process includes the process tokenisasi, stemming and filtering. Data were collected by literature methods. Thus, the system offered will be able to classify spam and non-spam emails if that happens.