Destinations ratings based multi-criteria recommender system for Indonesian halal tourism game

Arif, Yunifa Miftachul, Nurhayati, Hani, Nugroho, Supeno Mardi Susiki and Hariadi, Mochamad (2022) Destinations ratings based multi-criteria recommender system for Indonesian halal tourism game. International Journal of Intelligent Engineering and Systems, 15 (1). pp. 282-294. ISSN 2185-3118

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Halal tourism is one of the tourism products that have the prospect of contributing to economic growth in Indonesia. Therefore, the government needs to increase promotions to increase tourist interest in halal tourism destinations in Indonesia. Game is one of the alternative promotional media that can also function as an educational medium for choosing halal tourism that is fun for potential tourists. This study proposes a recommendation system to support knowledge sources in the Indonesian halal tourism game. We use destinations ratings-based multi-criteria recommender system (MCRS) to generate recommendation rankings as a reference for visualizing halal travel for players as potential tourists. This method improves the ability of the conventional tourism recommendation system, which is generally based on a single criterion. In this study, we use eight destinations rating criteria as a reference for calculating the recommender system in the halal tourism game. Each of these criteria is a reference for tourists' assessment of halal tourist destinations in Indonesia. Next, we integrate the cosine-based similarity technique in MCRS to measure the level of similarity between players and previous tourist data sets. This research's testing phase uses the theme of halal tourism destinations in the Batu City area. The test results show that the number and composition of the tourism destinations item rating as input of the recommender system affect the accuracy, precision, recall, and F1 scores. Based on 40 experiments with different tourism destination item rating input configurations, it shows that the average value of accuracy = 0.60, precision = 0.67, recall = 0.64 and F1 score = 0.65.

Item Type: Journal Article
Keywords: halal tourism; game; multi-criteria recommender system; destinations ratings
Subjects: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing
Divisions: Faculty of Technology > Department of Informatics Engineering
Depositing User: Yunifa Miftachul Arif
Date Deposited: 05 Jan 2022 12:27


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