Klasifikasi Model Percakapan Twitter Mengenai Ujian Nasional

The rise of internet usage especially in social media such as Twitter make a possibility to analyze an existing conversations and derived it to various conversation theme. The data was obtained from the Twitter conversation using text mining that is a "national exam" using the National #uj...

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Main Authors: Emilya Ully Artha, Ahmad Dahlan
Format: Article
Language:English
Published: Politeknik Harapan Bersama Tegal 2018-01-01
Series:Jurnal Informatika: Jurnal Pengembangan IT
Online Access:http://ejournal.poltektegal.ac.id/index.php/informatika/article/view/612
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spelling doaj-1892074e022048408380440a45480ed62020-11-24T20:45:01ZengPoliteknik Harapan Bersama TegalJurnal Informatika: Jurnal Pengembangan IT2477-51262548-93562018-01-013112112510.30591/jpit.v3i1.612596Klasifikasi Model Percakapan Twitter Mengenai Ujian NasionalEmilya Ully Artha0Ahmad Dahlan1Universitas Muhammadiyah MagelangUniversitas AMIKOM YogyakartaThe rise of internet usage especially in social media such as Twitter make a possibility to analyze an existing conversations and derived it to various conversation theme. The data was obtained from the Twitter conversation using text mining that is a "national exam" using the National #ujian, #unas, and #ujianan hastags. Twitter API was used to extract tweet data. This research use the naive bayesian access method to view communication forms based on users and applications. Based on calculation this research obtain a 0.278 result that most of Twitter users (users) are being from @kabarDiknas. The data that used in this research are taken from is a twitter conversation about the “ujian nasional” in 2016.http://ejournal.poltektegal.ac.id/index.php/informatika/article/view/612
collection DOAJ
language English
format Article
sources DOAJ
author Emilya Ully Artha
Ahmad Dahlan
spellingShingle Emilya Ully Artha
Ahmad Dahlan
Klasifikasi Model Percakapan Twitter Mengenai Ujian Nasional
Jurnal Informatika: Jurnal Pengembangan IT
author_facet Emilya Ully Artha
Ahmad Dahlan
author_sort Emilya Ully Artha
title Klasifikasi Model Percakapan Twitter Mengenai Ujian Nasional
title_short Klasifikasi Model Percakapan Twitter Mengenai Ujian Nasional
title_full Klasifikasi Model Percakapan Twitter Mengenai Ujian Nasional
title_fullStr Klasifikasi Model Percakapan Twitter Mengenai Ujian Nasional
title_full_unstemmed Klasifikasi Model Percakapan Twitter Mengenai Ujian Nasional
title_sort klasifikasi model percakapan twitter mengenai ujian nasional
publisher Politeknik Harapan Bersama Tegal
series Jurnal Informatika: Jurnal Pengembangan IT
issn 2477-5126
2548-9356
publishDate 2018-01-01
description The rise of internet usage especially in social media such as Twitter make a possibility to analyze an existing conversations and derived it to various conversation theme. The data was obtained from the Twitter conversation using text mining that is a "national exam" using the National #ujian, #unas, and #ujianan hastags. Twitter API was used to extract tweet data. This research use the naive bayesian access method to view communication forms based on users and applications. Based on calculation this research obtain a 0.278 result that most of Twitter users (users) are being from @kabarDiknas. The data that used in this research are taken from is a twitter conversation about the “ujian nasional” in 2016.
url http://ejournal.poltektegal.ac.id/index.php/informatika/article/view/612
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AT ahmaddahlan klasifikasimodelpercakapantwittermengenaiujiannasional
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