Performance of Multi-Criteria Recommender System Using Cosine-Based Similarity for Selecting Halal Tourism

Rizqi Aulia Nadhifah, Yunifa Miftachul Arif, Hani Nurhayati, Linda Salma Angreani

Abstract


Tourism is an activity where people or groups travel voluntarily for relaxation, seeking entertainment, or enjoy cultural diversity both within the city, outside the city, or even abroad. For traveling, information about halal tourism is essential that tourists must know. Tourists can contact a tour guide to find information and recommendations for halal tourism. However, it will cost quite a bit and need for a recommendation system to obtain recommendations and make it easier for tourists to determine which halal tourism to visit. This study aims to obtain the Multi-Criteria Recommender System's (MCRS) performance using cosine-based similarity to select halal tourism in Batu City. MCRS extends the traditional approach by using more than one scoring criteria to generate recommendations. The implementation of MCRS using cosine-based similarity succeeded in producing the five highest recommendations for halal tourist attractions, which were implemented in a game-based system. Through recommendation accuracy testing on two items, three items, four items, and five tourist attractions items, we obtained an average accuracy is 77,95%.


Keywords


Cosine-based Similarity, Halal Tourism, Recommendation, MCRS

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References


C. Iswidyamarsha and Y. F. Dewantara, “Pengaruh Fasilitas Wisata dan Promosi Terhadap Minat Berkunjung di Dunia Air Tawar dan Dunia Serangga TMII,” Sadar Wisata J. Pariwisata, vol. 3, no. 2, pp. 72–80, 2020.

Dinas Pariwisata Kota Batu, “Daya Tarik Wisata Kota Batu,” https://pariwisata.batukota.go.id/dtr (accessed Sep. 21, 2021).

BPS Kota Batu, “Jumlah Pengunjung Objek Wisata dan Wisata Oleh-oleh Menurut Tempat Wisata di Kota Batu, 2021,” https://batukota.bps.go.id/statictable/2022/04/11/1383/jumlah-pengunjung-objek-wisata-dan-wisata-oleh-oleh-menurut-tempat-wisata-di-kota-batu-2021.html (accessed Apr. 20, 2022).

BPS Kota Batu, “Jumlah Pengunjung Objek Wisata dan Wisata Oleh-oleh Menurut Tempat Wisata di Kota Batu, 2020,” https://batukota.bps.go.id/statictable/2022/03/23/1235/jumlah-pengunjung-objek-wisata-dan-wisata-oleh-oleh-menurut-tempat-wisata-di-kotabatu-2020.html (accessed Apr. 20, 2022).

G. Hamida and I. Zaki, “Potensi Penerapan Prinsip Syariah Pada Sektor Kepariwisataan Kota Batu,” J. Ekon. Syariah Teor. dan Terap., vol. 7, no. 1, p. 70, 2020.

P. K. Jithin, M. Vishnuram, P. Prasath, and J. T. Thirukrishna, “Tourism Guide for Tamilnadu (Android Application),” Int. J. Innov. Res. Sci. Technol., vol. 4, no. 11, pp. 112–116, 2018.

Y. M. Arif, H. Nurhayati, F. Kurniawan, S. M. S. Nugroho, and M. Hariadi, “Blockchain-Based Data Sharing for Decentralized Tourism Destinations Recommendation System,” Int. J. Intell. Eng. Syst., vol. 13, no. 6, pp. 472–486, 2020, doi: 10.22266/ijies2020.1231.42.

M. S. Mahfudz, Z. Arham, and E. Khudzaeva, “Development of Web-based Spatial Information System Tourism Industry Event Distribution (Case Study),” Appl. Inf. Syst. Manag., vol. 3, no. 2, pp. 107–112, 2021.

Y. M. Arif, S. Harini, S. M. S. Nugroho, and M. Hariadi, “An Automatic Scenario Control in Serious Game to Visualize Tourism Destinations Recommendation,” IEEE Access, vol. 9, pp. 89941–89957, 2021.

W. Looi, M. Dhaliwal, R. Alhajj, and J. Rokne, “Recommender system for items in DOTa 2,” IEEE Trans. Games, vol. 11, no. 4, pp. 396–404, 2019.

P. Thiengburanathum, “An intelligent destination recommendation system for tourists,” Doctorate Thesis (Doctorate), Bournemouth University, 2018.

Y. M. Arif, H. Nurhayati, S. M. S. Nugroho, and M. Hariadi, “Destinations Ratings Based Multi-Criteria Recommender System for Indonesian Halal Tourism Game,” Int. J. Intell. Eng. Syst., vol. 15, no. 1, pp. 282–294, 2022.

M. Battour and M. N. Ismail, “Halal Tourism : Concepts, Practises, Challenges and Future,” TMP, vol. 19, pp. 150–154, 2016.

Z. Samori, N. Z. M. Salleh, and M. M. Khalid, "Current trends on Halal tourism: Cases on selected Asian countries," Journal Tourism Management Perspectives, vol. 19, pp. 131-136, 2016.

M. Hassan, “New Machine Learning Methods for Modeling a Multi-criteria Recommender System,” Ph.D. dissertation, Dept. Information Systems., The University of Aizu, 2018.

M. Hassan and M. Hamada, “A Neural Networks Approach for Improving the Accuracy of Multi-Criteria Recommender Systems,” Applied Sciences, vol. 7, no. 9, p. 868, 2017.

L. S. Yan, N. A. Zahari, A. S. Ismail, and N. M. Zain, “Halal Tourism : A New World for Tourism Industry,” Int. J. Asian Soc. Sci., vol. 7, no. 8, pp. 643–657, 2017.

N. Ifada, S. Naridho, and M. K. Sophan, “Multi-criteria Based Item Recommendation Methods,” J. Sci. Technol., vol. 12, no. 2, pp. 78–84, 2019.

Cape Town Tourism (CTT) and CrescentRating, Cape Town Halal Tourism Basic Guidelines and Glossary. Cape Town Tourism (CTT) and CrescentRating, 2018.

F. Ricci, L. Rokach, and B. Shapira, Recommender Systems Handbook, Second Edi. New York: Springer Science + Business Media New York, 2015.

F. Lopes, J. Agnelo, C. A. Teixeira, N. Laranjeiro, and J. Bernardino, “Automating Orthogonal Defect Classification Using Machine Learning Algorithms,” Futur. Gener. Comput. Syst., vol. 102, pp. 932–947, 2020.

M. Robbani, R. D. Ramadhani, and A. E. Amalia, “Analisa Algoritma Cosine Similarity dengan Pearson Correlation pada Metode Item based Collaborative Filtering dengan Menggunakan Dataset Movielens,” Conf. Electr. Eng. Telemat. Ind. Technol. Creat. Media 2018, pp. 88–92, 2018.




DOI: https://doi.org/10.15408/aism.v5i2.25035 Abstract - 0 PDF - 0

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