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Development of an Application for Tourism Route Recommendations with the Dijkstra Algorithm

机译:用Dijkstra算法开发旅游线路推荐应用程序

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The trend of tourism 4.0 has become one of the issues in tourism and implemented in many ways. Malang city, Kota Batu and Kabupaten Malang areas such as Kota Batu and Kabupaten Malang are well-known as Malang Raya. Tourist attraction can be found in Malang raya. Since there are so many tourist attraction places and scattered across Malang Raya, tourist needs to find the best path in order to visit as many places as possible. This research project is conducted to find and apply the algorithm of Dijkstra to give recommendation of shortest path to tourist interesting places. There are four considerations in this research including first attraction place that will be visited by the tourist, distance between attraction places, types of the attraction places and the nearest attraction places from the first attraction place. Methodology in this research consist of several steps, including identification of required parameters, analysis of recommendation systems, data gathering, data validation and analysis, system development based on Dijkstra Algorithm, implementation and evaluation of the recommendation system. The proposed recommendation system able to recommend shortest path in three to four seconds. It is hoped that this project able to provide a ready – to – apply recommendation system for tourist attraction places in Indonesian’s cities, especially in Malang City.
机译:旅游4.0的趋势已经成为旅游业面临的问题之一,并以多种方式实施。马朗市、科塔巴图和卡布帕顿马朗地区,如科塔巴图和卡布帕顿马朗,被称为马朗拉亚。在马朗拉亚可以找到旅游景点。由于马朗拉亚有很多旅游景点,游客需要找到最好的路径,以便尽可能多地游览。本研究项目的目的是寻找并应用Dijkstra算法来推荐旅游景点的最短路径。本研究有四个考虑因素,包括游客将参观的第一个景点、景点之间的距离、景点类型以及距离第一个景点最近的景点。本研究的方法包括几个步骤,包括所需参数的识别、推荐系统的分析、数据收集、数据验证和分析、基于Dijkstra算法的系统开发、推荐系统的实施和评估。建议的推荐系统能够在3到4秒内推荐最短路径。希望该项目能够为印尼城市,尤其是马朗市的旅游景点提供一个现成的推荐系统。

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