IMPLEMENTASI PERINGKAS TEKS OTOMATIS PADA JURNAL BAHASA INDONESIA DENGAN METODE SENTENCE SCORING DAN RANKING; IMPLMENTATION OF AUTOMATIC TEXT SUMMARIZATION ON INDONESIAN LANGUAGE JOURNAL USING SENTENCE SCORING AND RANKING METHOD

samani, Edi Winarko

2015 | Skripsi | FMIPA

Text summarization is to compress an original document into a shortened version by extracting the most important information out of the document. This research implements text summarization on indonesian journal to generate an automatic summary using sentence scoring and ranking method. The purpose of this research is to find out the accuracy of the summary generated by system that using sentence scoring and ranking method. Sentence scoring and ranking method is included in the category of extraction. This method constructs the summary by taking sentences that has the highest score out of the original document. Sentence scoring summing the value of thematic feature, position feature, cueword feature and background feature. The accuracy ratio of system that using tf scoring as thematic feature and system that using tfidf as thematic value is analyzed in this research, as well as the accuracy of system using section scoring as position feature and system that using paragraph scoring as position value. This sistem is implemented using PHP programming language. The result shows that using tfidf scoring as thematic feature has better accuracy than using tf scoring. Using section scoring as position feature has better accuracy than using paragraph scoring. The combination of tfidf scoring, section scoring, cueword and background has an avarage of accuracy value 42.19% which is the best results that can be obtained in this research using sentence scoring and ranking method.

Kata Kunci : N