Proceedings of the 1st Borobudur International Symposium on Humanities, Economics and Social Sciences (BIS-HESS 2019)

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Twitter Data as Decision Tree Parameter for Analysis of Tourism Potential Policies

Authors
Edy Subowo, Imam Rosyadi, Hadwitya Handayani Kusumawardhani
Corresponding Author
Edy Subowo
Available Online 4 May 2020.
DOI
10.2991/assehr.k.200529.099How to use a DOI?
Keywords
Twitter data, decision tree parameter, tourism policies
Abstract

This research provides an analysis of tourism potential in Pekalongan Regency based on Twitter media so that it can provide input for related agencies to develop new potential tourism objects. Decision tree method with C4.5 is used to classify positive reviews where tourists will visit again and vice versa negative reviews with tweet data parameters related to tourism object, like location access, service satisfaction, conditions and functionality of existing facilities, and shopping experiences. The results of the review classification from the decision tree serve as input to the promotion strategy to be applied in the website media. Training data collection of 250 tweets related to the name of the tourism object in Pekalongan Regency was conducted and the experimental process was carried out in testing the model using RapidMiner 5.3. Stratified sampling with the C4.5 Decision Tree obtained the highest accuracy rate of 92% using fold = 6:4. 20 tweet sampling tests related to the Welo Asri Petungkriyono found 17 positive review tweets with the most words related to the condition and functionality of existing facilities and 3 negative reviews related to location access and service satisfaction.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 1st Borobudur International Symposium on Humanities, Economics and Social Sciences (BIS-HESS 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
4 May 2020
ISBN
10.2991/assehr.k.200529.099
ISSN
2352-5398
DOI
10.2991/assehr.k.200529.099How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Edy Subowo
AU  - Imam Rosyadi
AU  - Hadwitya Handayani Kusumawardhani
PY  - 2020
DA  - 2020/05/04
TI  - Twitter Data as Decision Tree Parameter for Analysis of Tourism Potential Policies
BT  - Proceedings of the 1st Borobudur International Symposium on Humanities, Economics and Social Sciences (BIS-HESS 2019)
PB  - Atlantis Press
SP  - 474
EP  - 478
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200529.099
DO  - 10.2991/assehr.k.200529.099
ID  - Subowo2020
ER  -