Proceedings of KNASTIK
PENERAPAN TERMS FREQUENCY-INVERSE DOCUMENT FREQUENCY PADA SISTEM PERINGKASAN TEKS OTOMATIS DOKUMEN TUNGGAL BERBAHASA INDONESIA
Abstract
Automated Text Summarization is a process that utilize an computer application to
produce summary from a document and have the same meaning form document. The
research purposed is to develop an application that produce single document summary
in Bahasa Indonesia dynamically. This application quote the majority core meaning of
document and display to user the summary. Implementing of Term Frequency-Inverse
Document Frequency (TF-IDF) count weight and relation between text. Input and
output document form a document in Bahasa Indonesia. Input document consist of title,
heading and text while the output document is essense of the document. This
experimental result shows that accuracy is 61%.
produce summary from a document and have the same meaning form document. The
research purposed is to develop an application that produce single document summary
in Bahasa Indonesia dynamically. This application quote the majority core meaning of
document and display to user the summary. Implementing of Term Frequency-Inverse
Document Frequency (TF-IDF) count weight and relation between text. Input and
output document form a document in Bahasa Indonesia. Input document consist of title,
heading and text while the output document is essense of the document. This
experimental result shows that accuracy is 61%.
Keywords
automatic text summary, tf-idf, single document.
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