Penambangan Teks Pada Tujuan Wisata di Bandung Raya (Studi Kasus: Tangkuban Perahu dan Kawah Putih)

Abstract

The tourism sector occupies the fourth position as the largest foreign exchange earner for the country, amounting to the US $ 20 billion. One of the three main tourist destinations in West Java is Bandung Raya with Tangkuban Perahu and Kawah Putih as nature theme destinations. One factor that drives the tourism industry to develop is tourist comfort. Tourist comfort can be seen from tourist online reviews on various travel sites. Review in traveling site can be used as a reference for tourists and provide feedback for stakeholders. One of the biggest travel review sites in the world is Trip Advisor. The purpose of this study is to analyze the reviews on two nature-themed tourism destinations, Tangkuban Perahu and Kawah Putih, to obtain valuable information. This method uses text mining on all English-language reviews in the Trip Advisor site on tourism destinations. The steps are to collect data, preprocessing data, matrix term documents. The output consists of term frequency, word cloud and sentiment analysis with emotional classification. Research findings illustrate that text mining can be applied to travel reviews for tourism destinations in Indonesia. Analysis result obtains tourist destination review ratings above the average that can still be improved, the frequency of tourist review filled with positive words even though expensive word appear, Ekman's emotional sentiment classification is dominated by emotional joy which means tourists feel comfortable in enjoying the tourism object, and emotional sentiment term frequency of sadness and anger can be stakeholder input for tourism destinations. @ 2020 ASMTB PRESS