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All Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) J-SAKTI (Jurnal Sains Komputer dan Informatika)
Dian Siti Utami
Universitas Nusa Putra
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy

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Analisis Sentimen Objek Wisata Bali Di Google Maps Menggunakan Algoritma Naive Bayes Dian Siti Utami; Adhitia Erfina
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.456

Abstract

Bali is one of the most popular tourist destinations in Indonesia because it has a variety of tourist attractions. So this study aims to analyze a tourist review on Google Maps of the most recommended tourist attractions in Bali. The author considers that the review can be used as a data by scrapping data from the Data Miner Website. Then the data that has been extracted is analyzed by predicting a rapid miner using the Naïve Bayes Algorithm, which is considered to have a high enough level of accuracy so that it can determine 5 recommended Bali tourist attractions based on tourist reviews on Google Maps. The results of this study conclude that Nusa Pedina with an accuracy value of 94.64% is the most visited Bali tourist attraction because the accuracy value is superior to Garuda Wisnu Kencana with an accuracy value of 82.86%, edge with an accuracy value of 80%, Pandawa with an accuracy value by 82.86%. The accuracy value is 90.71%, Uluwutu Temple with an accuracy value of 85.54%.
Analisis Sentimen Objek Wisata Bali Di Google Maps Menggunakan Algoritma Naive Bayes Dian Siti Utami; Adhitia Erfina
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.456

Abstract

Bali is one of the most popular tourist destinations in Indonesia because it has a variety of tourist attractions. So this study aims to analyze a tourist review on Google Maps of the most recommended tourist attractions in Bali. The author considers that the review can be used as a data by scrapping data from the Data Miner Website. Then the data that has been extracted is analyzed by predicting a rapid miner using the Naïve Bayes Algorithm, which is considered to have a high enough level of accuracy so that it can determine 5 recommended Bali tourist attractions based on tourist reviews on Google Maps. The results of this study conclude that Nusa Pedina with an accuracy value of 94.64% is the most visited Bali tourist attraction because the accuracy value is superior to Garuda Wisnu Kencana with an accuracy value of 82.86%, edge with an accuracy value of 80%, Pandawa with an accuracy value by 82.86%. The accuracy value is 90.71%, Uluwutu Temple with an accuracy value of 85.54%.
Analisis Sentimen Ulasan Terkait UNESCO Global Geopark Di Google Maps dengan Algoritma Naive Bayes Dian Siti Utami; Adhitia Erfina; M Mupaat
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.524

Abstract

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 believes that customer reviews should be taken into consideration because they allow travelers to 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. Because the Naïve Bayesian Algorithm is thought to have a high enough level of accuracy to identify the Unesco Global Geopark (UGG) Ciletuh Pelabuhan Ratu tourist destination that is often frequented based on visitor ratings on Google Maps, then this study utilizes it. Successively the highest accuracy values from this study were Palangpang with an accuracy value of 98.61%, Cisolok Geyser tourist attraction 94.44%, Ujung Genteng tourist attraction 98.36%, Cikaso tourist attraction 98.36%, Citepus tourist attraction 97 ,22%, Puncak Manic attractions 96.92%, Sodong attractions 95.83%, Cipanarikan attractions 95.01%, Teletubis Hill attractions 94.48%, and finally Cimarinjung attractions 94.44%.
Analisis Sentimen Ulasan Terkait UNESCO Global Geopark Di Google Maps dengan Algoritma Naive Bayes Dian Siti Utami; Adhitia Erfina; M Mupaat
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.524

Abstract

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 believes that customer reviews should be taken into consideration because they allow travelers to 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. Because the Naïve Bayesian Algorithm is thought to have a high enough level of accuracy to identify the Unesco Global Geopark (UGG) Ciletuh Pelabuhan Ratu tourist destination that is often frequented based on visitor ratings on Google Maps, then this study utilizes it. Successively the highest accuracy values from this study were Palangpang with an accuracy value of 98.61%, Cisolok Geyser tourist attraction 94.44%, Ujung Genteng tourist attraction 98.36%, Cikaso tourist attraction 98.36%, Citepus tourist attraction 97 ,22%, Puncak Manic attractions 96.92%, Sodong attractions 95.83%, Cipanarikan attractions 95.01%, Teletubis Hill attractions 94.48%, and finally Cimarinjung attractions 94.44%.
Co-Authors Adhitia Erfina Mupaat