Text Mining dengan K-Means Clustering pada Tema LGBT dalam Arsip Tweet Masyarakat Kota Bandung

The movement of LGBT is growing rapidly through social media so that LGBT ideas can be freely expressed. The tweeter is one of the media that is often used for that purpose. Comments or "cuitan" about LGBT on twitter certainly many in number. The amount of information available in cyberspa...

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Auteur principal:	Eko Yulian
Format:	article
Langue:	EN
Publié:	Department of Mathematics, UIN Sunan Ampel Surabaya 2018
Sujets:	K-Means Clustering; LGBT; Text Mining Mathematics QA1-939
Accès en ligne:	https://doaj.org/article/d4a2f3f059c941668debc8e9ecb77b09
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spelling	oai:doaj.org-article:d4a2f3f059c941668debc8e9ecb77b092021-12-02T15:31:56ZText Mining dengan K-Means Clustering pada Tema LGBT dalam Arsip Tweet Masyarakat Kota Bandung2527-31592527-316710.15642/mantik.2018.4.1.53-58https://doaj.org/article/d4a2f3f059c941668debc8e9ecb77b092018-05-01T00:00:00Zhttp://jurnalsaintek.uinsby.ac.id/index.php/mantik/article/view/261https://doaj.org/toc/2527-3159https://doaj.org/toc/2527-3167The movement of LGBT is growing rapidly through social media so that LGBT ideas can be freely expressed. The tweeter is one of the media that is often used for that purpose. Comments or "cuitan" about LGBT on twitter certainly many in number. The amount of information available in cyberspace makes development efforts to extract information from online databases rapidly, one of which is text mining. One of the statistical techniques that can be used to utilize the results of text mining is clustering. Clustering used in this study is K-Means clustering. This study uses 5 clusters to group comments on The twitter associated with LGBT in the city of Bandung. Of the five clusters formed in the K-means process, it is found that the tendency of Tuet Tweeter users of LGBT related bands in general, is still related to the religious perspective which is marked by the emergence of the word religion very often.Eko YulianDepartment of Mathematics, UIN Sunan Ampel SurabayaarticleK-Means Clustering; LGBT; Text MiningMathematicsQA1-939ENMantik: Jurnal Matematika, Vol 4, Iss 1, Pp 53-58 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	K-Means Clustering; LGBT; Text Mining Mathematics QA1-939
spellingShingle	K-Means Clustering; LGBT; Text Mining Mathematics QA1-939 Eko Yulian Text Mining dengan K-Means Clustering pada Tema LGBT dalam Arsip Tweet Masyarakat Kota Bandung
description	The movement of LGBT is growing rapidly through social media so that LGBT ideas can be freely expressed. The tweeter is one of the media that is often used for that purpose. Comments or "cuitan" about LGBT on twitter certainly many in number. The amount of information available in cyberspace makes development efforts to extract information from online databases rapidly, one of which is text mining. One of the statistical techniques that can be used to utilize the results of text mining is clustering. Clustering used in this study is K-Means clustering. This study uses 5 clusters to group comments on The twitter associated with LGBT in the city of Bandung. Of the five clusters formed in the K-means process, it is found that the tendency of Tuet Tweeter users of LGBT related bands in general, is still related to the religious perspective which is marked by the emergence of the word religion very often.
format	article
author	Eko Yulian
author_facet	Eko Yulian
author_sort	Eko Yulian
title	Text Mining dengan K-Means Clustering pada Tema LGBT dalam Arsip Tweet Masyarakat Kota Bandung
title_short	Text Mining dengan K-Means Clustering pada Tema LGBT dalam Arsip Tweet Masyarakat Kota Bandung
title_full	Text Mining dengan K-Means Clustering pada Tema LGBT dalam Arsip Tweet Masyarakat Kota Bandung
title_fullStr	Text Mining dengan K-Means Clustering pada Tema LGBT dalam Arsip Tweet Masyarakat Kota Bandung
title_full_unstemmed	Text Mining dengan K-Means Clustering pada Tema LGBT dalam Arsip Tweet Masyarakat Kota Bandung
title_sort	text mining dengan k-means clustering pada tema lgbt dalam arsip tweet masyarakat kota bandung
publisher	Department of Mathematics, UIN Sunan Ampel Surabaya
publishDate	2018
url	https://doaj.org/article/d4a2f3f059c941668debc8e9ecb77b09
work_keys_str_mv	AT ekoyulian textminingdengankmeansclusteringpadatemalgbtdalamarsiptweetmasyarakatkotabandung
_version_	1718387172627709952

Text Mining dengan K-Means Clustering pada Tema LGBT dalam Arsip Tweet Masyarakat Kota Bandung

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