Peringkasan Dokumen Bahasa Indonesia Menggunakan Logika Fuzzy

Abstract

Text summarization is required to help interpreting the large volumes of information in documents. Automatic text summarization is a process of creating a shorter version of document from the source document by using a machine. The goal is to present the most important information and help the user to understand the large volumes of information from the document. This research proposes an automatic text summarization using Fuzzy Inference System (FIS), because the level of importance of sentences in a document is uncertain (fuzzy). The advantage of fuzzy logic is its ability of linguistic reasoning, so that it does not require any mathematical equations. Simulation is conducted on 50 data testing. It is shown that the best average accuracy in this research is 50.58% and the best accuracy for single document summarization is 100%.