Combination of TOPSIS Method and PIPRECIA Weighting for Best Hotel Selection

Muhammad Waqas Arshad; Yuri Rahmanto; Mesran; Setiawansyah

Authors

Muhammad Waqas Arshad University of Bologna, Bologna
Yuri Rahmanto Universitas Teknokrat Indonesia, Bandar Lampung
Mesran Universitas Budi Darma, Medan
Setiawansyah Universitas Teknokrat Indonesia, Bandar Lampung

Keywords:

Best Hotel; Multi-Criteria Decision-Making; PIPRECIA; Ranking; TOPSIS

Abstract

The main problem is the difference between the description and photos displayed on the booking site and the real condition of the hotel, inconsistent or even fake reviews can confuse potential guests in making a decision. To overcome the problem in hotel selection, a decision support system approach is needed. This study aims to apply the PIPRECIA method in determining the weight of each criterion that has been identified, so that each criterion has a weight that is in accordance with its level of importance. Meanwhile, the TOPSIS method to sort and select the best hotels based on the weight of the criteria that have been obtained from the PIPRECIA method, so that it can make a significant contribution in the field of hotel management and multi-criteria decision-making. The results of the best hotel ranking by applying the PIPRECIA and TOPSIS weighting methods obtained the first highest ranking result with a final preference score of 0.64247 obtained by Hotel The 101, the second highest ranking with a final preference score of 0.57032 obtained by Hotel Harper, the third highest ranking with a final preference score of 0.53261 obtained by Hotel Novotel, the fourth highest ranking with a final preference score of 0.36972 obtained by Hotel Santika, and the last ranking with a final preference score of 0.21038 was obtained by The Zuri Hotel.

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