Clustering User Characteristics Based on the influence of Hashtags on the Instagram Platform

Instagram is a social media that has the potential to be used to increase awareness of a product. Approximately 70% of users spend their time searching for a product on Instagram. Many people promote their products with a lack of attention to the target. So that not infrequently the information dist...

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Bibliographic Details
Main Authors: Habibi, Muhammad (Author), Cahyo, Puji Winar (Author)
Other Authors: Directorate of Research and Community Service Directorate General of Research and Development Strengthening (DRPM) (Contributor)
Format: EJournal Article
Published: IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia., 2019-10-31.
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001 IJCSS_50574
042 |a dc 
100 1 0 |a Habibi, Muhammad  |e author 
100 1 0 |a Directorate of Research and Community Service Directorate General of Research and Development Strengthening   |q  (DRPM)   |e contributor 
700 1 0 |a Cahyo, Puji Winar  |e author 
245 0 0 |a Clustering User Characteristics Based on the influence of Hashtags on the Instagram Platform 
260 |b IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.,   |c 2019-10-31. 
500 |a https://jurnal.ugm.ac.id/ijccs/article/view/50574 
520 |a Instagram is a social media that has the potential to be used to increase awareness of a product. Approximately 70% of users spend their time searching for a product on Instagram. Many people promote their products with a lack of attention to the target. So that not infrequently the information distributed is inaccurate information and not following user characteristics. This study aims to cluster the characteristics of Instagram users based on hashtag compatibility. The method used in this study is the K-Means Clustering method. Based on the results of the experiment, this research succeeded in clustering Instagram users based on the hashtag match on the text caption. Besides, TF-IDF can be used as a feature suitable for the K-Means Klastering method. The results of the hashtag "#kopi" analysis resulted in hashtag suggestions that can be used for the promotion of a product related to coffee, including the hashtag #coffeeshop and #coffee with total usage of 14968 captions. 
540 |a Copyright (c) 2019 IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 
540 |a http://creativecommons.org/licenses/by-sa/4.0 
546 |a eng 
690 |a Data Mining; Text Mining; Social Media Analytic 
690 |a Clustering; Instagram; K-Means; Social Media; Text Analysis 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 13, No 4 (2019): October; 399-408 
786 0 |n 2460-7258 
786 0 |n 1978-1520 
787 0 |n https://jurnal.ugm.ac.id/ijccs/article/view/50574/26047 
856 4 1 |u https://jurnal.ugm.ac.id/ijccs/article/view/50574  |z Get Fulltext 
856 4 1 |u https://jurnal.ugm.ac.id/ijccs/article/view/50574/26047  |z Get Fulltext