Arif Yunifa Miftachul, Putra Duvan Deswantara, Wardani Dyah, Nugroho Supeno Mardi Susiki, Hariadi Mochamad
Department of Informatics Engineering, Universitas Islam Negeri Maulana Malik Ibrahim, Malang, Indonesia.
Department of Computer Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.
Heliyon. 2023 Mar 5;9(3):e14267. doi: 10.1016/j.heliyon.2023.e14267. eCollection 2023 Mar.
Tourism destinations serious game (TDSG) requires the ability to respond to players through recommendations for selecting appropriate tourist destinations for them as potential tourists. This research utilizes ambient intelligence technology to regulate the response visualized through a choice of serious game scenarios. This research uses the Multi-Criteria Recommender System (MCRS) to produce recommendations for selecting tourist destinations as a reference for selecting scenario visualizations. Recommender systems require a decentralized, distributed, and secure data-sharing concept to distribute data and assignments between nodes. We propose using the Ethereum blockchain platform to handle data circulation between parts of the system and implement decentralized technology. We also use the known and unknown rating (KUR) approach to improve the system's ability to generate recommendations for players who can provide rating values or those who cannot. This study uses the tourism theme of Batu City, Indonesia, so we use personal characteristics (PC) and rating of destinations attribute (RDA) data for tourists in that city. The test results show that the blockchain can handle decentralized data-sharing well to ensure PC and RDA data circulation between nodes. MCRS has produced recommendations for players based on the KUR approach, indicating that the known rating has better accuracy than the unknown rating. Furthermore, the player can choose and run the tour visualization through game scenarios that appear based on the recommendation ranking results.
旅游目的地严肃游戏（TDSG）需要具备通过为潜在游客推荐合适旅游目的地来回应玩家的能力。本研究利用环境智能技术来调控通过选择严肃游戏场景可视化呈现的回应。本研究使用多标准推荐系统（MCRS）来生成旅游目的地选择建议，作为选择场景可视化的参考。推荐系统需要一个去中心化、分布式且安全的数据共享概念，以便在节点之间分配数据和任务。我们提议使用以太坊区块链平台来处理系统各部分之间的数据流通并实现去中心化技术。我们还使用已知与未知评级（KUR）方法来提高系统为能够提供评级值的玩家或无法提供评级值的玩家生成推荐的能力。本研究以印度尼西亚巴图市的旅游主题为背景，因此我们使用该市游客的个人特征（PC）和目的地属性评级（RDA）数据。测试结果表明，区块链能够很好地处理去中心化数据共享，以确保PC和RDA数据在节点之间流通。MCRS已基于KUR方法为玩家生成了推荐，表明已知评级的准确性优于未知评级。此外，玩家可以通过基于推荐排名结果出现的游戏场景来选择并运行旅游可视化。
