Sistem Pendukung Keputusan Pemilihan Hotel Terbaik Menggunakan Metode WASPAS dan Pembobotan ROC

Choosing the best hotel is often a challenge for travelers because many criteria must be considered such as price, facilities, location, and services. To overcome these problems, this study developed a decision support system (DSS) using Weighted Aggregate Product Sum Assessment (WASPAS) and Rank Order Central Weighting (ROC).The WASPAS method was chosen because it has the ability to combine the advantages of the weighted sum model (WSM) and the weighted product model (WPM), resulting in a more accurate and efficient decision.While the ROC method is used to determine the weight of each criterion objectively based on the importance of these criteria. From the calculation results, Hotel C ranks highest with a value of 0.877, indicating that this hotel meets the predetermined criteria better than other alternatives. In addition, other hotels such as Hotel A and Hotel D also performed quite well, occupying the second and third positions

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Publication Details

Journal
ADA Journal of Information System Research
Published
2025-06-30
DOI
https://doi.org/10.64366/adajisr.v2i3.82
Primary Topic
Agriculture and Agroindustry Studies
Type
article
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article

Sistem Pendukung Keputusan Pemilihan Hotel Terbaik Menggunakan Metode WASPAS dan Pembobotan ROC

Priyo Sarjono Wibowo, Ivan Maurits
ADA Journal of Information System Research
Agriculture and Agroindustry Studies
article

Sistem Pendukung Keputusan Pemilihan Hotel Terbaik Menggunakan Metode WASPAS dan Pembobotan ROC

Priyo Sarjono Wibowo, Ivan Maurits
article en

Abstract

Choosing the best hotel is often a challenge for travelers because many criteria must be considered such as price, facilities, location, and services. To overcome these problems, this study developed a decision support system (DSS) using Weighted Aggregate Product Sum Assessment (WASPAS) and Rank Order Central Weighting (ROC).The WASPAS method was chosen because it has the ability to combine the advantages of the weighted sum model (WSM) and the weighted product model (WPM), resulting in a more accurate and efficient decision.While the ROC method is used to determine the weight of each criterion objectively based on the importance of these criteria. From the calculation results, Hotel C ranks highest with a value of 0.877, indicating that this hotel meets the predetermined criteria better than other alternatives. In addition, other hotels such as Hotel A and Hotel D also performed quite well, occupying the second and third positions

ADA Journal of Information System ResearchVol. 2(3)
Gunadarma University (ID)
Openalex Percentile: Top 57%
Agriculture and Agroindustry Studies
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Sistem Pendukung Keputusan Pemilihan Hotel Terbaik Menggunakan Metode WASPAS dan Pembobotan ROC — Priyo Sarjono Wibowo, Ivan Maurits · ADA Journal of Information System Research (2025) | TGRS Research Map | TGRS