基于BWM-MARCOS方法的巴厘岛旅游套餐推荐决策支持系统

Jurnal Ilmiah Merpati Menara Penelitian Akademika Teknologi Informasi Pub Date : 2021-08-26 DOI:10.24843/jim.2021.v09.i02.p05

Ni Ketut Pradani Gayatri S, I. Candiasa, K. Aryanto

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引用次数: 2

摘要

巴厘岛是旅游业有利可图的省份之一。它催生了许多与旅游业相关的业务，即旅行社。巴厘岛的旅行社通常提供各种不同价格和规格的旅游套餐。游客在确定旅游套餐时遇到的问题是，旅游套餐的价格相当高，与游客预算不匹配。此外，旅行团的访问时间表也不灵活。这个问题可以通过制定一个用于形成旅游套餐的决策支持系统来克服。本研究使用BWM方法来确定每个标准的最优权重，并使用MARCOS对将形成旅游包的备选旅游对象进行排序。使用混淆矩阵的测试结果的准确率为74.19%，准确率为81.25%，召回率/敏感性为72.22%，特异性为76.92%。

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Decision Support System for Tour Package Recommendation in Bali Using BWM-MARCOS Method

Bali is one of the provinces with profitable tourism opportunities. It has led to many businesses related to tourism, which is a travel agent. Travel agents in Bali usually offer variety of tour packages with different prices and specifications. The problem experienced by tourists in determining tour packages is that the price of tour packages is quite high and does not match the tourist budget. In addition, the schedule of visits from tour packages is also inflexible. This problem can be overcome by making a decision support system for forming tour packages. This study uses the BWM method to determine each criterion’s optimal weight and the MARCOS to rank alternative tourism objects that will form a tour package. Testing results using confusion matrix get an accuracy value of 74.19%, precision of 81.25%, recall / sensitivity of 72.22% and specificity of 76.92%.

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来源期刊

Jurnal Ilmiah Merpati Menara Penelitian Akademika Teknologi Informasi

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审稿时长

24 weeks