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A computer-based system to support tourism in Bali, Indonesia
Author(s) -
Ani Suryanti,
Putu Sugiartawan,
W Welda
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1469/1/012039
Subject(s) - tourism , ranking (information retrieval) , analytic hierarchy process , topsis , tourist attraction , rank (graph theory) , research object , object (grammar) , computer science , decision support system , geography , marketing , business , operations research , advertising , data mining , information retrieval , artificial intelligence , mathematics , regional science , archaeology , combinatorics
The purpose of this research is to determine a favorite tourist destination in Bali with GDSS approach. The problem that occurs in Bali is the occurrence of a significant difference in tourist visits to each of the destination object. Ranking of tourism objects as a whole allows famous tourism objects determine by tourists. The ranking process using the approach of the Group Decision Support System (GDSS), it aims to combine the decisions of several tourists. The AHP model in GDSS is used to determine the weight of each criterion in each alternative, the TOPSIS model use for individual ranking of each tourist object and the BORDA model aims to classify individual ranking. The results showed that the Tanah Lot tourist attraction was ranked first with a difference in the value of more than half with other tourism objects, such as the Goa Gajah tourist attraction has the last rank. The results of the sensitivity analysis show that cleanliness and safety criteria are vital factors of tourism objects.

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