Akurasi Text Mining Menggunakan Algoritma K-Nearest Neighbour pada Data Content Berita SMS

Windu Gata Purnomo, Purnomo Purnomo Purnomo

Abstract


Since 2004, LKBN ANTARA still using SMS-Gateway application as media delivery of news from the field, due to Internet network conditions in the Territory of Indonesia is still limited. SMS-GATEWAY also be used for sending notifications or activities in the workplace from the Leader, editor, Bureau Chief, reporter or IT team. Indicated in case of misuse or SMS sending application that does not comply with labor. Due to these conditions, the research carried out by manual methods as well as methods of K-Nearest Neigbour to know about it. Results of research conducted to get the results on the accuracy of the prediction selection YA number 772 does not fit properly and a number of 32, so that the precision is 96.02%. While predictions TIDAK have the results of a number of 0 and 14 correct errors in the prediction of YA. So that the accuracy of the results obtained number of 96.15%. So the use of SMS-Gateway application used ANTARA environment in accordance with the needs during November 2015. As well as can help ANTARA within the classification SMS content with klasifika YA and TIDAK.

Keywords


SMS-Gateway, Text Mining, Preprocessing K-NN, News, SMS

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References


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