TEXT SUMMARIZING SYSTEM OF ENGLISH SUBJECTS AND TEXT MINING SUBJECTS FOR COMPUTER SCIENCE STUDENTS

Abstract

The development of text data is the birth of text mining, one of the techniques of managing text in order to summarize text is called text summarizer. in this study the text summarization uses the TF-IDF method. Text summarizing system is used in increasing students' interest in learning English, especially the ability to read news in English, where learning English in Indonesia experiences obstacles at various levels of formal education, from elementary schools, junior high schools, senior high schools to tertiary institutions. Text summarizer have created, used to demonstration method in English and text mining subject in departemant of informatics. Text summarizing system is also used as a demonstration method when entering text summary lecture material as a sub subject of text mining course material. stemming process, word tabulation, idf calculation and determination of word weight and sentence weight, the system is summarized with a summary of activities performed by a number of twenty English teachers and testing by ten online text summaries. Calculated the value of recall, the value of precision and f-measure. Text summarizing system is used in English learning activities as a medium of learning in order to present learning motivation, and demonstrated in the text mining course during the initial lecture on sub text summarizing material. Testing system by twenty English teachers that Text Summarizing System using TF-IDF in this study obtained a recall value of 0,687 precision value of 1,00 and f-measure test value of 0,814. Testing By online text summarizing systems using TF-IDF, in this study obtained a recall value of 0,675, precision value of 1,00 and f-measure test value of 0,8059 which means that the summarizing system has reliability and can be used as a medium for learning English courses and text mining. The future research is determining the steps to use text summarizing media and evaluating the benefits of learning optimization and also assessing perceptions from lecturers as well as students on more respondens.