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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Politeknik Harapan Bersama Tegal
2018-01-01
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Series: | Jurnal Informatika: Jurnal Pengembangan IT |
Online Access: | http://ejournal.poltektegal.ac.id/index.php/informatika/article/view/612 |
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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 |
work_keys_str_mv |
AT emilyaullyartha klasifikasimodelpercakapantwittermengenaiujiannasional AT ahmaddahlan klasifikasimodelpercakapantwittermengenaiujiannasional |
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