Searching Information Tourism using Vector Space Model

Abstract

Development of tourism is directed at creating tourist destinations that are evenly distributed in an area, including tourism in Sukabumi, West Java, Indonesia. This study conducts secondary data retrieval from the internet by using keyword ”air terjun sukabumi“. Information search method is to use a Vector Space Model (VSM) to see the level of similarity with the weighting term. By passing various processes such as tokensizing, filtering, stemming, tf and df, calculation of inverse document frequency and several other processes. The results shows that the proposed algorithm is very suitable for processing the sample. Determination of document ranking is done by several stages of the algorithm that produce some documents with the highest value. The study can also prove the proposed algorithm can work well in the case of searching for waterfall data in Sukabumi district.