The Implementation of The Analytical Hierarchy Process Method to Determine the Potential for Tourism Village Development
DOI:
https://doi.org/10.52731/liir.v005.197Keywords:
AHP, Decision Support System, Tourism VillageAbstract
The province of South Kalimantan currently lacks an information system capable of managing and mapping data related to tourism village potential in the region. However, if properly utilized, this data can offer valuable insights into the cultural and locally inspired tourist attractions in South Kalimantan. This research aims to develop a web-based decision support system that utilizes the Analytical Hierarchy Process (AHP) method to gather and map data on tourism villages, providing recommendations for tourism purposes. By integrating the AHP method into the decision support system, users can identify and choose potential areas with the capacity to be developed into regional tourist destinations in South Kalimantan. The accuracy of the system's calculations was validated by comparing them with manual calculations using the AHP method, yielding precise results. The top recommendation, with a weight value of 0.51, was Tiwingan Lama, followed by Loksado in second place with a weight value of 0.36, and Tiwingan Baru in third place with a weight value of 0.2. Utilizing the AHP method for suggesting tourism potentials can enhance the objectivity of the decision-making process, optimize the use of resources, and maximize the advantages for all stakeholders involved in the tourism sector.
References
“POTENSI PARIWISATA - DPMPTSP ProvinsiKalsel.” https://dpmptsp.kalselprov.go.id/web/potensi-pariwisata/ (accessed Mar. 14, 2023).
“Indonesian Village Tourism Development: A LegalAnalysis.” https://www.abacademies.org/articles/indonesian-village-tourism-development-a-legal-analysis-12789.html (accessed Mar. 14, 2023).
D. B. P. I. dan Kelembagaan and K. P. R. Indonesia, PENGEMBANGAN WISATAPERDESAAN & WISATA PERKOTAAN. 2020.
A. Munthafa and H. Mubarok, “Penerapan Metode Analytical Hierarchy Process DalamSistem Pendukung Keputusan Penentuan Mahasiswa Berprestasi,” J. Siliwangi, 2017.
N. E. Suhandi, K. D. Hartomo, and P. F. Tanaem, “Rancang Bangun Sistem InformasiGeografis Rekomendasi Cagar Budaya Menggunakan Metode Analytic HierarchyProcess,” J. Tek. Inform. dan Sist. Inf., vol. 6, no. 2, 2020, doi: 10.28932/jutisi.v6i2.2593.
E. Irawan, “Sistem Pendukung Keputusan Pemilihan Obyek Wisata Alam KabupatenSimalungun,” SinkrOn, 2018.
M. Rohandi, M. Y. Tuloli, and M. R. T. Jassin, “Sistem Pendukung Keputusan dalamPenentuan Prioritas Pengembangan Kawasan Wisata Bawah Laut,” J. Nas. Tek. Elektrodan Teknol. Inf., vol. 6, no. 4, 2017, doi: 10.22146/jnteti.v6i4.354.
E. Maria, D. N. Prasetyanti, and Y. Yulianto, “Sistem Pendukung Keputusan PemilihanLokasi Objek Wisata Di Yogyakarta Dengan AHP (Analytical Hierarchy Process),” J.Rekayasa Teknol. Inf., vol. 1, no. 2, 2017, doi: 10.30872/jurti.v1i2.911.
S. K. Anwar, A. Priyanto, and C. Ramdani, “Sistem Pendukung Keputusan PemilihanObjek Wisata Menggunakan Metode AHP,” J-SAKTI (Jurnal Sains Komput. danInform., vol. 5, no. 1, pp. 270–279, 2021.
Hoiriyah and S. Bahri, “IMPLEMETASI METODE AHP (ANALITYCALHIERARCHY PROCESS) DALAM PENENTUAN TEMPAT WISATA AGRO(STUDI KASUS DI KECAMATAN PEGANTENAN, PAMEKASAN, MADURA),”TEKNOKOM, vol. 2, no. 1, 2019, doi: 10.31943/teknokom.v2i1.27.
P. T. Prasetyaningrum and A. Sari, “Penerapan Analytical Hierarchy Process ( Ahp )Untuk Mendukung Keputusan Pemilihan Desrinasi Tempat,” J. SIMETRIS, vol. 10, no.2, 2019.
T. . Saaty, “The Analytical Hierarchy process, planning, priority, Resource Allocation"Rws pub, USA,” New York MeGraw Hill, l980, 1980.
Thomas L. Saaty, Fundamentals of Decision Making and Priority Theory, 2nd Edition.2000.
S. Maharani, H. R. Hatta, and G. Merdiko, “Decision support system of culinaryrecommendations using ahp and topsis methods with map visualization,” Int. Semin. Sci.Technol., no. September, 2014.
A. Pratomo, A. Irawan, M. R.-J. of P. Conference, and undefined 2020, “Similarity detection design using Winnowing Algorithm as an effort to apply green computing,” iopscience.iop.org, vol. 1450, p. 12065, 2020, doi: 10.1088/1742-6596/1450/1/012065.
