Implementation Of MAUT Method for Making Website-based Tourism Recommendations in Yogyakarta based on Maps Location

M. Nuraminudin, Melany Mustika Dewi, Akhmad Dahlan

Abstract


The significance of the tourism sector in contributing to the economy of the Special Region of Yogyakarta, which is a major destination with millions of tourists every year. The rapid growth of tourism demands the integration of information technology, especially in the development of recommendation systems, to improve visitor experience and satisfaction and support sustainable destination management. The main problem faced is the need to develop a recommendation system that is able to provide optimal suggestions for tourist locations and accommodations, considering various attributes such as price, facilities, location, and user personal preferences. The problem-solving approach taken in this study is the application of the Multi-Attribute Utility Theory (MAUT) Method. The research steps involve identifying problems, needs, and key attributes, collecting tourist location and accommodation data through Google Maps and Google Business Data. Furthermore, the raw data is subjected to processing and pre-processing before the MAUT model is developed. This model is implemented into a web-based application which is then tested using blackbox testing to determine whether the system is running properly. With the hope of creating a smart and sustainable tourism ecosystem, this study is innovative in using MAUT to improve the quality of recommendations in the Yogyakarta tourism industry.

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References


BAPPEDA Daerah Istimewa Yogyakarta, “Data Kinerja Dinas Pariwisata.” Accessed: Jan. 14, 2024. [Online]. Available: https://bappeda.jogjaprov.go.id/dataku/data_dasar/index/603-data-kinerja-dinas-pariwisata

N. Jamilati, M. I. Anshori, and S. N. Salsabila, “Penggunaan Teknologi Digital Untuk Meningkatkan Kinerja Pengelola Pariwisata Berkelanjutan Studi Kasus di Kabupaten Bangkalan,” Innovative : Journal Of Social Science Research, vol. 3, no. 6, pp. 154–169, 2023.

K. A. Chandra and S. Hansun, “Sistem Rekomendasi Pemilihan Laptop dengan Metode Waspas,” Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering), vol. 6, no. 2, pp. 76–81, Oct. 2019, doi: 10.33019/ecotipe.v6i2.1019.

M. Akbar, E. Zahara, A. Assariy, and E. A. A. D, “Studi Perbandingan Metode SAW, MAUT dan SMART dalam Pemilihan Telepon Seluler untuk Belajar Online,” MALCOM: Indonesian Journal of Machine Learning and Computer Science, vol. 4, no. 1, pp. 162–171, Jan. 2024, doi: 10.57152/malcom.v4i1.1073.

A. P. Nanda, S. Hartati, and S. Sucipto, “Decision Suport System Dalam Menentukan Rekomendasi Pekerjaan Menggunakan Metode MAUT (Multi Attribute Utility Theory),” Technologia : Jurnal Ilmiah, vol. 14, no. 4, p. 430, Oct. 2023, doi: 10.31602/tji.v14i4.12568.

W. Saputra, S. A. Wardana, H. Wahyuda, and D. A. Megawaty, “Penerapan Kombinasi Metode Multi-Attribute Utility Theory (MAUT) dan Rank Sum Dalam Pemilihan Siswa Terbaik,” Journal of Information Technology, Software Engineering and Computer Science (ITSECS), vol. 2, no. 1, 2024.

D. Widiyawati, D. Dedih, and W. Wahyudi, “Implementasi Metode Maut Dan Saw Dalam Pemilihan Tempat Wisata Di Kabupaten Karawang,” Jurnal Interkom: Jurnal Publikasi Ilmiah Bidang Teknologi Informasi dan Komunikasi, vol. 17, no. 2, pp. 71–80, Jul. 2022, doi: 10.35969/interkom.v17i2.231.

Aisha Kusuma Putri and Suliadi, “Rekomendasi Destinasi Wisata di Indonesia Menggunakan Metode Item2Vec,” Jurnal Riset Statistika, pp. 11–18, Jul. 2023, doi: 10.29313/jrs.v3i1.1770.

A. A. Gumelar and D. Heksaputra, “Sistem Informasi Seleksi Wisata Halal dengan Metode Analytical Hierarchy Process (AHP) di Bantul Yogyakarta,” Device, vol. 13, no. 1, pp. 75–87, May 2023, doi: 10.32699/device.v13i1.4446.

Y. A. Singgalen, “Analisis Hasil Implementasi Multi-Attribute Utility Theory (MAUT) dalam Pengemasan Paket Wisata Tematik,” Building of Informatics, Technology and Science (BITS), vol. 5, no. 2, Sep. 2023, doi: 10.47065/bits.v5i2.4144.

D. A. Siregar and S. Samsudin, “Batu Pulut Village Population Management Information System using the Multi Attribute Utility Theory (MAUT) Method,” SISTEMASI, vol. 13, no. 1, p. 371, Jan. 2024, doi: 10.32520/stmsi.v13i1.3895.

Superwiratni and Y. Sugiarto, “Fenomena Self Healing Untuk Penghilang Stres Sebagai Promosi Pariwisata Melalui Destinasi Hidden Gem Junggle Milk Lembang,” Juremi: Jurnal Riset Ekonomi, vol. 4, no. 1, 2024.

Muhammad Syahputra Novelan, “Penerapan GIS (Geographic Information System) Penunjuk Arah Lokasi Sekolah Terdekat Menggunakan Metode Haversine,” SATESI: Jurnal Sains Teknologi dan Sistem Informasi, vol. 2, no. 1, pp. 1–5, Apr. 2022, doi: 10.54259/satesi.v2i1.623.

M. F. Mahatmi, T. Hasanuddin, and F. Umar, “Implementasi Metode Haversine Formula Untuk Menentukan Jarak Terdekat Pada Pengantaran Air Galon Depot Anantama Berbasis Android,” Buletin Sistem Informasi dan Teknologi Islam, vol. 3, no. 1, pp. 69–78, Feb. 2022, doi: 10.33096/busiti.v3i1.1098.

R. Parlika, T. A. Nisa, S. M. Ningrum, and B. A. Haque, “Studi Literatur Kekurangan dan Kelebihan Pengujian Black Box,” Journal of Technology and Informatics (TEKNOMATIKA Journal), vol. 10, no. 2, 2020.

R. Arzian, Z. Abidin, P. Irfan, and M. Yunus, “Penerapan Fuzzy SAW untuk Rekomendasi Penentuan Penerima Bantuan Pembangunan Rumah Tidak Layak Huni,” JTIM : Jurnal Teknologi Informasi dan Multimedia, vol. 2, no. 1, pp. 36–42, May 2020, doi: 10.35746/jtim.v2i1.86.




DOI: https://doi.org/10.32520/stmsi.v13i6.4653

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