Meri Chindyana - Academia.edu (original) (raw)
Uploads
Papers by Meri Chindyana
Rev. d'Intelligence Artif., 2021
Received: 9 December 2020 Accepted: 5 February 2021 Marketing in travel companies will usually of... more Received: 9 December 2020 Accepted: 5 February 2021 Marketing in travel companies will usually offer promos or recommendations regarding various categories of random tourist objects to their customers. The promo or recommendation contains categories of tourist objects that are frequently visited and had good ratings from many customers. However, because companies do not really know and understand the characteristics or interests of each customer, sometimes some promos do not match their interests so that they are not interested in taking the promos that are offered. There are already several papers that discuss tourism recommendations, but they only focus on 1 tourist spot or tourism object category. Based on these problems, this thesis is made to discuss the segmentation of tourist interest in tourism object categories by comparing the PSO K-Means method and the DBSCAN method, which is about recommendations for more specific tour packages according to rating. Characteristics or sim...
Rev. d'Intelligence Artif., 2021
Received: 9 December 2020 Accepted: 5 February 2021 Marketing in travel companies will usually of... more Received: 9 December 2020 Accepted: 5 February 2021 Marketing in travel companies will usually offer promos or recommendations regarding various categories of random tourist objects to their customers. The promo or recommendation contains categories of tourist objects that are frequently visited and had good ratings from many customers. However, because companies do not really know and understand the characteristics or interests of each customer, sometimes some promos do not match their interests so that they are not interested in taking the promos that are offered. There are already several papers that discuss tourism recommendations, but they only focus on 1 tourist spot or tourism object category. Based on these problems, this thesis is made to discuss the segmentation of tourist interest in tourism object categories by comparing the PSO K-Means method and the DBSCAN method, which is about recommendations for more specific tour packages according to rating. Characteristics or sim...