<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "ANALISIS PERBANDINGAN METODE KLASIFIKASI TEMA\r\nPADA TEKS BERITA MENGGUNAKAN ALGORITMA KNEAREST\r\nNEIGHBOR DENGAN FUZZY K-NEAREST\r\nNEIGHBOR"^^ . "In general, news delivered in news portals consists of several categories\r\nsuch as political news, sports, economics, health, and others. However, in dividing\r\nthe news into these categories, for now it is still done manually. Automation is\r\nneeded to support this, in this case it is necessary to have an algorithm that is able\r\nto classify news themes automatically. In Data Mining, one of the two classification\r\nmethods, namely KNN and its development, namely FKNN as an alternative, is\r\nexpected to find the best solution.\r\nThe classification is carried out with data from the web crawling of the\r\nkompas.com news site taken from 3 categories as a sample of 105 news items each.\r\nthen do preprocessing text and weighting the TF IDF so that it is in the form of a\r\nterm weigh data set. After that, the classification of the KNN and FKNN algorithms\r\nwas carried out by searching for the value of k and comparing the best training and\r\ntesting data. And the last test is with K-Fold Cross Validation to determine the\r\nresults of the comparison of the performance of the two algorithms.\r\nBased on the research that has been done, it can be concluded that the\r\nhighest accuracy performance value of the classification method using the KNearest\r\nNeighbor algorithm is the value of k = 4 with a comparison of training and\r\ntesting data that is 9:1. The development of KNN with Fuzzy KNN did not provide\r\na significant increase in accuracy because it could only provide 1% accuracy with\r\na value of k and the highest comparison of training and testing data from KNN."^^ . "2021-07-22" . . . . "UIN SUNAN KALIJAGA YOGYAKARTA"^^ . . . "FAKULTAS SIANS DAN TEKNOLOGI, UIN SUNAN KALIJAGA YOGYAKARTA"^^ . . . . . . . . . "NIM. 17106050038"^^ . "MUHAMAD HANIF ZEIN"^^ . "NIM. 17106050038 MUHAMAD HANIF ZEIN"^^ . . . . . . "ANALISIS PERBANDINGAN METODE KLASIFIKASI TEMA\r\nPADA TEKS BERITA MENGGUNAKAN ALGORITMA KNEAREST\r\nNEIGHBOR DENGAN FUZZY K-NEAREST\r\nNEIGHBOR (Text)"^^ . . . . . "17106050038_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf"^^ . . . "ANALISIS PERBANDINGAN METODE KLASIFIKASI TEMA\r\nPADA TEKS BERITA MENGGUNAKAN ALGORITMA KNEAREST\r\nNEIGHBOR DENGAN FUZZY K-NEAREST\r\nNEIGHBOR (Text)"^^ . . . . . "ANALISIS PERBANDINGAN METODE KLASIFIKASI TEMA\r\nPADA TEKS BERITA MENGGUNAKAN ALGORITMA KNEAREST\r\nNEIGHBOR DENGAN FUZZY K-NEAREST\r\nNEIGHBOR (Other)"^^ . . . . . . "ANALISIS PERBANDINGAN METODE KLASIFIKASI TEMA\r\nPADA TEKS BERITA MENGGUNAKAN ALGORITMA KNEAREST\r\nNEIGHBOR DENGAN FUZZY K-NEAREST\r\nNEIGHBOR (Other)"^^ . . . . . . "ANALISIS PERBANDINGAN METODE KLASIFIKASI TEMA\r\nPADA TEKS BERITA MENGGUNAKAN ALGORITMA KNEAREST\r\nNEIGHBOR DENGAN FUZZY K-NEAREST\r\nNEIGHBOR (Other)"^^ . . . . . . "ANALISIS PERBANDINGAN METODE KLASIFIKASI TEMA\r\nPADA TEKS BERITA MENGGUNAKAN ALGORITMA KNEAREST\r\nNEIGHBOR DENGAN FUZZY K-NEAREST\r\nNEIGHBOR (Other)"^^ . . . . . . "ANALISIS PERBANDINGAN METODE KLASIFIKASI TEMA\r\nPADA TEKS BERITA MENGGUNAKAN ALGORITMA KNEAREST\r\nNEIGHBOR DENGAN FUZZY K-NEAREST\r\nNEIGHBOR (Other)"^^ . . . . . . "lightbox.jpg"^^ . . . "ANALISIS PERBANDINGAN METODE KLASIFIKASI TEMA\r\nPADA TEKS BERITA MENGGUNAKAN ALGORITMA KNEAREST\r\nNEIGHBOR DENGAN FUZZY K-NEAREST\r\nNEIGHBOR (Other)"^^ . . . . . . "preview.jpg"^^ . . . "ANALISIS PERBANDINGAN METODE KLASIFIKASI TEMA\r\nPADA TEKS BERITA MENGGUNAKAN ALGORITMA KNEAREST\r\nNEIGHBOR DENGAN FUZZY K-NEAREST\r\nNEIGHBOR (Other)"^^ . . . . . . "medium.jpg"^^ . . . "ANALISIS PERBANDINGAN METODE KLASIFIKASI TEMA\r\nPADA TEKS BERITA MENGGUNAKAN ALGORITMA KNEAREST\r\nNEIGHBOR DENGAN FUZZY K-NEAREST\r\nNEIGHBOR (Other)"^^ . . . . . . "small.jpg"^^ . . "HTML Summary of #47033 \n\nANALISIS PERBANDINGAN METODE KLASIFIKASI TEMA \nPADA TEKS BERITA MENGGUNAKAN ALGORITMA KNEAREST \nNEIGHBOR DENGAN FUZZY K-NEAREST \nNEIGHBOR\n\n" . "text/html" . . . "Tehnik Informatika"@en . .