<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "ANALISIS SENTIMEN TERHADAP ISU KHILAFAH PADA MEDIA SOSIAL TWITTER MENGGUNAKAN ALGORITME K-NEAREST NEIGHBORS DAN SUPPORT VECTOR MACHINE"^^ . "In June 2022 in Indonesia there was an arrest by the police of the head of\r\nthe Khilafatul Muslimin community organization on the grounds that the activities\r\nof the Khilafatul Muslimin group were not in accordance with the value of Pancasila\r\nand threatened the integrity of the Unitary State of the Republic of Indonesia. This\r\nresulted in the khilafah issue becoming a hot topic of discussion on social media,\r\nespecially on social media Twitter. Twitter users discuss this issue a lot with their\r\nvarious opinions, both opinions that have positive, neutral and negative sentiments.\r\nThis research aims to analyze the sentiment of twitter netizens about the issue with\r\ntext mining. In this research, the Machine Learning algorithms used are K-Nearest\r\nNeighbor (KNN) and Support Vector Machine (SVM) and the data used contains\r\nthe word \"khilafah\" obtained using the crawling method. The data is 3630 tweet\r\ndata with labels and 397 tweet data without labels. Data analysis uses confusion\r\nmatrix and k-fold cross validation. The results of this study can be concluded that\r\nthe SVM method is better than KNN with the accuracy value using confusion\r\nmatrix is 87% for SVM and 56% for KNN and the average accuracy value using kfold\r\ncross validation is 60% for SVM and 58% for KNN. The results of the SVM\r\nmodel implementation on 397 unlabeled data are 241 tweets (60.71%) positive\r\nsentiment, 107 tweets (26.95%) neutral sentiment and 49 tweets (12.34%) negative\r\nsentiment. While the implementation using KNN resulted in 220 tweets (55.42%)\r\npositive sentiment, 94 tweets (23.68%) neutral sentiment and 83 tweets (20.91%)\r\nnegative sentiment. From these statistics it can be concluded that the sentiment of\r\ntwitter netizens on the issue of khilafah tends to be positive."^^ . "2023-04-10" . . . . "UIN SUNAN KALIJAGA YOGYAKARTA"^^ . . . "FAKULTAS SAINS DAN TEKNOLOGI, UIN SUNAN KALIJAGA YOGYAKARTA"^^ . . . . . . . . . "NIM.: 17106050033"^^ . "Fares Analis Syahad"^^ . "NIM.: 17106050033 Fares Analis Syahad"^^ . . . . . . "ANALISIS SENTIMEN TERHADAP ISU KHILAFAH PADA MEDIA SOSIAL TWITTER MENGGUNAKAN ALGORITME K-NEAREST NEIGHBORS DAN SUPPORT VECTOR MACHINE (Text)"^^ . . . . . "17106050033_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf"^^ . . . "ANALISIS SENTIMEN TERHADAP ISU KHILAFAH PADA MEDIA SOSIAL TWITTER MENGGUNAKAN ALGORITME K-NEAREST NEIGHBORS DAN SUPPORT VECTOR MACHINE (Text)"^^ . . . . . "ANALISIS SENTIMEN TERHADAP ISU KHILAFAH PADA MEDIA SOSIAL TWITTER MENGGUNAKAN ALGORITME K-NEAREST NEIGHBORS DAN SUPPORT VECTOR MACHINE (Other)"^^ . . . . . . "ANALISIS SENTIMEN TERHADAP ISU KHILAFAH PADA MEDIA SOSIAL TWITTER MENGGUNAKAN ALGORITME K-NEAREST NEIGHBORS DAN SUPPORT VECTOR MACHINE (Other)"^^ . . . . . . "ANALISIS SENTIMEN TERHADAP ISU KHILAFAH PADA MEDIA SOSIAL TWITTER MENGGUNAKAN ALGORITME K-NEAREST NEIGHBORS DAN SUPPORT VECTOR MACHINE (Other)"^^ . . . . . . "ANALISIS SENTIMEN TERHADAP ISU KHILAFAH PADA MEDIA SOSIAL TWITTER MENGGUNAKAN ALGORITME K-NEAREST NEIGHBORS DAN SUPPORT VECTOR MACHINE (Other)"^^ . . . . . . "ANALISIS SENTIMEN TERHADAP ISU KHILAFAH PADA MEDIA SOSIAL TWITTER MENGGUNAKAN ALGORITME K-NEAREST NEIGHBORS DAN SUPPORT VECTOR MACHINE (Other)"^^ . . . . . . "lightbox.jpg"^^ . . . "ANALISIS SENTIMEN TERHADAP ISU KHILAFAH PADA MEDIA SOSIAL TWITTER MENGGUNAKAN ALGORITME K-NEAREST NEIGHBORS DAN SUPPORT VECTOR MACHINE (Other)"^^ . . . . . . "preview.jpg"^^ . . . "ANALISIS SENTIMEN TERHADAP ISU KHILAFAH PADA MEDIA SOSIAL TWITTER MENGGUNAKAN ALGORITME K-NEAREST NEIGHBORS DAN SUPPORT VECTOR MACHINE (Other)"^^ . . . . . . "medium.jpg"^^ . . . "ANALISIS SENTIMEN TERHADAP ISU KHILAFAH PADA MEDIA SOSIAL TWITTER MENGGUNAKAN ALGORITME K-NEAREST NEIGHBORS DAN SUPPORT VECTOR MACHINE (Other)"^^ . . . . . . "small.jpg"^^ . . "HTML Summary of #58996 \n\nANALISIS SENTIMEN TERHADAP ISU KHILAFAH PADA MEDIA SOSIAL TWITTER MENGGUNAKAN ALGORITME K-NEAREST NEIGHBORS DAN SUPPORT VECTOR MACHINE\n\n" . "text/html" . . . "Tehnik Informatika"@en . . . "Media Sosial" . .