Sentiment analysis of reviews related to Unesco Global Geopark (UGG) Ciletuh Palabuhanratu on google maps using the naive bayes algorithm
Ciletuh Geopark is part of the UNESCO Global Geopark Network. This study will analyze a tourist review of the Ciletuh Pelabuhan Ratu Geopark based on reviews on Google Maps. The author considers that user reviews really need to be taken into account because it is to find out the reviews of tourists...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2024-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2024/67/bioconf_icobeaf2024_02014.pdf |
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| author | Erfina Adhitia Siti Utami Dian Sembiring Falentino |
| author_facet | Erfina Adhitia Siti Utami Dian Sembiring Falentino |
| author_sort | Erfina Adhitia |
| collection | DOAJ |
| description | Ciletuh Geopark is part of the UNESCO Global Geopark Network. This study will analyze a tourist review of the Ciletuh Pelabuhan Ratu Geopark based on reviews on Google Maps. The author considers that user reviews really need to be taken into account because it is to find out the reviews of tourists who share their experiences. Reviews from tourists who have visited geoparks are the most important thing because these reviews can be used as information to be used as data. This research uses the Naïve Bayes Algorithm, because this algorithm is considered to have a high enough level of accuracy so that it can determine the Unesco Global Geopark (UGG) Ciletuh Pelabuhanratu tourist attraction that is often visited based on tourist reviews on Google Maps. Then the highest accuracy value of this research is Palangpang with an accuracy value of 98.61%, the second position is the Cisolok Geyser tourist attraction with an accuracy value of 94.44%, then the third position is the Ujung Genteng tourist attraction with an accuracy value of 98.36%, the fourth namely the Cikaso tourist attraction with an accuracy value of 98.36%, the fifth is the Citepus tourist attraction with an accuracy value of 97.22%, the sixth is the Manic Peak tourist attraction with an accuracy value of 96.92%, the seventh is the Sodong tourist attraction with an accuracy value of 95.83%, the eighth is the Cipanarikan tourist attraction with an accuracy value of 95.01%, the ninth is the Teletubis Hill tourist attraction with an accuracy value of 94.48%, and the last is the Cimarinjung tourist attraction with an accuracy value of 94.44%. |
| format | Article |
| id | doaj-art-a389238b95244601a64fb5d49170b366 |
| institution | Kabale University |
| issn | 2117-4458 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | BIO Web of Conferences |
| spelling | doaj-art-a389238b95244601a64fb5d49170b3662025-01-16T11:19:46ZengEDP SciencesBIO Web of Conferences2117-44582024-01-011480201410.1051/bioconf/202414802014bioconf_icobeaf2024_02014Sentiment analysis of reviews related to Unesco Global Geopark (UGG) Ciletuh Palabuhanratu on google maps using the naive bayes algorithmErfina Adhitia0Siti Utami Dian1Sembiring Falentino2Department of Information System, Nusa Putra UniversityDepartment of Information System, Nusa Putra UniversityDepartment of Information System, Nusa Putra UniversityCiletuh Geopark is part of the UNESCO Global Geopark Network. This study will analyze a tourist review of the Ciletuh Pelabuhan Ratu Geopark based on reviews on Google Maps. The author considers that user reviews really need to be taken into account because it is to find out the reviews of tourists who share their experiences. Reviews from tourists who have visited geoparks are the most important thing because these reviews can be used as information to be used as data. This research uses the Naïve Bayes Algorithm, because this algorithm is considered to have a high enough level of accuracy so that it can determine the Unesco Global Geopark (UGG) Ciletuh Pelabuhanratu tourist attraction that is often visited based on tourist reviews on Google Maps. Then the highest accuracy value of this research is Palangpang with an accuracy value of 98.61%, the second position is the Cisolok Geyser tourist attraction with an accuracy value of 94.44%, then the third position is the Ujung Genteng tourist attraction with an accuracy value of 98.36%, the fourth namely the Cikaso tourist attraction with an accuracy value of 98.36%, the fifth is the Citepus tourist attraction with an accuracy value of 97.22%, the sixth is the Manic Peak tourist attraction with an accuracy value of 96.92%, the seventh is the Sodong tourist attraction with an accuracy value of 95.83%, the eighth is the Cipanarikan tourist attraction with an accuracy value of 95.01%, the ninth is the Teletubis Hill tourist attraction with an accuracy value of 94.48%, and the last is the Cimarinjung tourist attraction with an accuracy value of 94.44%.https://www.bio-conferences.org/articles/bioconf/pdf/2024/67/bioconf_icobeaf2024_02014.pdf |
| spellingShingle | Erfina Adhitia Siti Utami Dian Sembiring Falentino Sentiment analysis of reviews related to Unesco Global Geopark (UGG) Ciletuh Palabuhanratu on google maps using the naive bayes algorithm BIO Web of Conferences |
| title | Sentiment analysis of reviews related to Unesco Global Geopark (UGG) Ciletuh Palabuhanratu on google maps using the naive bayes algorithm |
| title_full | Sentiment analysis of reviews related to Unesco Global Geopark (UGG) Ciletuh Palabuhanratu on google maps using the naive bayes algorithm |
| title_fullStr | Sentiment analysis of reviews related to Unesco Global Geopark (UGG) Ciletuh Palabuhanratu on google maps using the naive bayes algorithm |
| title_full_unstemmed | Sentiment analysis of reviews related to Unesco Global Geopark (UGG) Ciletuh Palabuhanratu on google maps using the naive bayes algorithm |
| title_short | Sentiment analysis of reviews related to Unesco Global Geopark (UGG) Ciletuh Palabuhanratu on google maps using the naive bayes algorithm |
| title_sort | sentiment analysis of reviews related to unesco global geopark ugg ciletuh palabuhanratu on google maps using the naive bayes algorithm |
| url | https://www.bio-conferences.org/articles/bioconf/pdf/2024/67/bioconf_icobeaf2024_02014.pdf |
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