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| Neural Network Model Analysis in the Context of Tourist Attraction in Bandung City
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Hilman Abdul Halim, Tomi Setiawan, Bonti
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Abstract:
This research is a development of sentiment analysis research on social media using a varied method or algorithm, namely the Neural Network to find out, understand, and analyze the sentiment analysis of Twitter users towards tourist attractions in Bandung City. Bandung City one of the top ten tourist cities in Indonesia, has a great interest in this tourism sector. Around 30% of Bandung City's Regional Original Revenue (Pendapatan Asli Daerah) in 2020 or around 210 billion came from the tourism sector, so it can be said that the life and death of Bandung City depends on the success of the tourism sector. However, there are still several problems that need to be observed so that the tourism sector in Bandung City can remain contributive and sustainable in the future. One of the things that needs to be observed based on the Accountability and Government Performance Report of the Bandung City Tourism and Culture Office in 2021 is that tourists have begun to feel bored when visiting Bandung City. The research method that researchers use is the Mix Method with Explanatory sequential design. The qualitative stage includes crawling data with text characters from Twitter, processing data, and interpreting and analyzing data. As a result, the boredom of tourists is partly due to the lack of variety of tourist attractions and the lack of new tourist attractions in Bandung City.
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