<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "ANALISA HASIL PERBANDINGAN PERINGKASAN TEKS OTOMATIS\r\nUNTUK BERITA ONLINE MENGGUNAKAN METODE\r\nTERM FREQUENCY– INVERSE DOCUMENT FREQUENCY\r\nDENGAN CORPUS DAN NON CORPUS\r\n(STUDI KASUS BBC MAGAZINE ONLINE)\r\n\r\n"^^ . "Development of Internet technology results the presence of many\r\nwebsites, including the website of a long article such as magazine online. This\r\nestablishment of automatic text summarization expected to help reducing the time\r\nto read the entire contents of the article, so people can speed up read online\r\nmagazines without losing the meaning of article\r\nThis research begins with the preprocessing 1, including web scraping\r\nprocess which starts from text downloading from the website server until filtering\r\ntext to get the normal text. The next step is pre-processing II, including text\r\nprocessing whose aim to get the word term. These processes consist of case\r\nfolding, sentence splitting, tokenization and filtering stop words. However, if\r\nusing the approach without the use of filtering stopwords then there are only\r\nsentence splitting and tokenization process. The results of this processes were then\r\ncalculated its weight tf- idf. To generate a summary, the researcher does sentence\r\nextraction process whose high value of tf- idf.\r\nData testing is using article from the bbc magazine online. Testing is done\r\nin two ways. Firstly, the researcher compares the result of system summary with\r\nthe result of manual summary (from abstractor). Secondly, the data testing is\r\nusing questionnaires to the respondents to assess the summary result. The results\r\nof the evaluation system that uses filtering corpus generate a summary with\r\n47.50% accuracy (with standard deviation of 6.9 and a range of values between\r\n41.66% to 56.25%). While the results of the evaluation system that does not use\r\nstopwords filtering produces 45.46% accuracy (with standard deviation of 6.2 and\r\na range of values between 36.84% to 50.00%). Meanwhile, the result of the\r\nsecond testing using respondents, in general, it can be concluded that produces 4%\r\nof respondents strongly agreed, 72% agreed, 23.2% neutral, 0.8% disagreed, and\r\nstated strongly disagree 0%.\r\n\r\n"^^ . "2014-06-16" . . . . "UIN SUNAN KALIJAGA"^^ . . . "FAKULTAS SAINS DAN TEKNOLOGI, UIN SUNAN KALIJAGA"^^ . . . . . . . . . "NIM. 10651046"^^ . "ADITYA DWI PUTRA "^^ . "NIM. 10651046 ADITYA DWI PUTRA "^^ . . . . . . "ANALISA HASIL PERBANDINGAN PERINGKASAN TEKS OTOMATIS\r\nUNTUK BERITA ONLINE MENGGUNAKAN METODE\r\nTERM FREQUENCY– INVERSE DOCUMENT FREQUENCY\r\nDENGAN CORPUS DAN NON CORPUS\r\n(STUDI KASUS BBC MAGAZINE ONLINE)\r\n\r\n (Text)"^^ . . . "BAB I, V, DAFTAR PUSTAKA.pdf"^^ . . . "ANALISA HASIL PERBANDINGAN PERINGKASAN TEKS OTOMATIS\r\nUNTUK BERITA ONLINE MENGGUNAKAN METODE\r\nTERM FREQUENCY– INVERSE DOCUMENT FREQUENCY\r\nDENGAN CORPUS DAN NON CORPUS\r\n(STUDI KASUS BBC MAGAZINE ONLINE)\r\n\r\n (Text)"^^ . . . "ANALISA HASIL PERBANDINGAN PERINGKASAN TEKS OTOMATIS\r\nUNTUK BERITA ONLINE MENGGUNAKAN METODE\r\nTERM FREQUENCY– INVERSE DOCUMENT FREQUENCY\r\nDENGAN CORPUS DAN NON CORPUS\r\n(STUDI KASUS BBC MAGAZINE ONLINE)\r\n\r\n (Other)"^^ . . . . . . "lightbox.jpg"^^ . . . "ANALISA HASIL PERBANDINGAN PERINGKASAN TEKS OTOMATIS\r\nUNTUK BERITA ONLINE MENGGUNAKAN METODE\r\nTERM FREQUENCY– INVERSE DOCUMENT FREQUENCY\r\nDENGAN CORPUS DAN NON CORPUS\r\n(STUDI KASUS BBC MAGAZINE ONLINE)\r\n\r\n (Other)"^^ . . . . . . "preview.jpg"^^ . . . "ANALISA HASIL PERBANDINGAN PERINGKASAN TEKS OTOMATIS\r\nUNTUK BERITA ONLINE MENGGUNAKAN METODE\r\nTERM FREQUENCY– INVERSE DOCUMENT FREQUENCY\r\nDENGAN CORPUS DAN NON CORPUS\r\n(STUDI KASUS BBC MAGAZINE ONLINE)\r\n\r\n (Other)"^^ . . . . . . "medium.jpg"^^ . . . "ANALISA HASIL PERBANDINGAN PERINGKASAN TEKS OTOMATIS\r\nUNTUK BERITA ONLINE MENGGUNAKAN METODE\r\nTERM FREQUENCY– INVERSE DOCUMENT FREQUENCY\r\nDENGAN CORPUS DAN NON CORPUS\r\n(STUDI KASUS BBC MAGAZINE ONLINE)\r\n\r\n (Other)"^^ . . . . . . "small.jpg"^^ . . . "ANALISA HASIL PERBANDINGAN PERINGKASAN TEKS OTOMATIS\r\nUNTUK BERITA ONLINE MENGGUNAKAN METODE\r\nTERM FREQUENCY– INVERSE DOCUMENT FREQUENCY\r\nDENGAN CORPUS DAN NON CORPUS\r\n(STUDI KASUS BBC MAGAZINE ONLINE)\r\n\r\n (Other)"^^ . . . . . . "ANALISA HASIL PERBANDINGAN PERINGKASAN TEKS OTOMATIS\r\nUNTUK BERITA ONLINE MENGGUNAKAN METODE\r\nTERM FREQUENCY– INVERSE DOCUMENT FREQUENCY\r\nDENGAN CORPUS DAN NON CORPUS\r\n(STUDI KASUS BBC MAGAZINE ONLINE)\r\n\r\n (Other)"^^ . . . . . . "ANALISA HASIL PERBANDINGAN PERINGKASAN TEKS OTOMATIS\r\nUNTUK BERITA ONLINE MENGGUNAKAN METODE\r\nTERM FREQUENCY– INVERSE DOCUMENT FREQUENCY\r\nDENGAN CORPUS DAN NON CORPUS\r\n(STUDI KASUS BBC MAGAZINE ONLINE)\r\n\r\n (Other)"^^ . . . . . . "ANALISA HASIL PERBANDINGAN PERINGKASAN TEKS OTOMATIS\r\nUNTUK BERITA ONLINE MENGGUNAKAN METODE\r\nTERM FREQUENCY– INVERSE DOCUMENT FREQUENCY\r\nDENGAN CORPUS DAN NON CORPUS\r\n(STUDI KASUS BBC MAGAZINE ONLINE)\r\n\r\n (Other)"^^ . . . . . "HTML Summary of #13273 \n\nANALISA HASIL PERBANDINGAN PERINGKASAN TEKS OTOMATIS \nUNTUK BERITA ONLINE MENGGUNAKAN METODE \nTERM FREQUENCY– INVERSE DOCUMENT FREQUENCY \nDENGAN CORPUS DAN NON CORPUS \n(STUDI KASUS BBC MAGAZINE ONLINE) \n \n\n\n" . "text/html" . . . "Tehnik Informatika"@en . .