Comparison Topsis and Saw Method in the Selection of Tourism Destination in Indonesia

research
  • 14 Apr
  • 2020

Comparison Topsis and Saw Method in the Selection of Tourism Destination in Indonesia

There are many tourism objects located in Indonesia inflicted to whether the local or foreign visitors are difficult in determining the choice for tourism. For that case, it requires proponent system for the tourism object selected that appropriate, safe, cheap, and pleasant. In this research the writer is comparing the Saw Method and Topsis by five criteria’s; location, cost, transportation, time and distance and time for visiting. For the object of tourism is Bunaken, Komodo Island, Lake Toba, Lake Kalimutu, Lombok, Bromo, Monas, Borobudur Temple, Tanah Lot, Wakatobi And Raja Ampat Bali. The purpose of this method helps to determine and increase the number of visitors of local and foreign tourists to various any tourism objects in Indonesia with the determination of the criteria for decision making to assess each alternative, quality of each criteria’s.

Unduhan

 

REFERENSI

[1]     R. R. Tantowi, Akhmad, Andriyatna Rubenta, Neraca satelit Pariwisata Nasional 2017. Jakarta Pusat: Kementrian Pariwisata Deputi Bidang Pengembangan Kelembagaan Kepariwistaan, 2017.

[2]     N. Putu and E. Mahadewi, “COOKING CLASS SEBAGAI PAKET WISATA,” vol. 3, no. 1, pp. 29–33, 2015.

[3]     R. P, Noviana Eka. Sihwi, Sari Widya. Anggraningsih, “Sistem Penunjang Keputusan Untuk Menentukan Lokasi Usaha Dengan Metode Simple Additive Weighting ( SAW ),” vol. 3, no. 1, pp. 41–46, 2014.

[4]     L. S. Malang et al., “Sistem Pendukung Keputusan Pemilihan Lokasi Mendirikan Usaha Kuliner di Kota Nganjuk Menggunakan Metode ...,” no. December 2016, 2017.

[5]     I. Conference and S. Studies, “MULTI-CRITERIA DECISION MAKING METHODS IN BOSNIA AN ....,” vol. 2017, no. March 2015, 2017.

[6]     Sunarti, “Analisa Penilaian Kualitas Kinerja Karyawan Dengan Metode Simple Additive Weighting ( Studi Kasus : Apartemen Plaza Senayan Jakarta ),” Joins, vol. 2, no. 1, pp. 100–111, 2017.

[7]     N. SATRIO, “Sistem Pendukung Keputusan Pemilihan Lokasi Objek Wisata Di Kabupaten Grobogan Menggunakan Metode Profile Matching,” Skripsi, Fak. Ilmu Komput., 2013.

[8]     F. Ahmed, “Factors Affecting the Selection of Tour Destination in Bangladesh : An Empirical Analysis,” Int. J. Bus. Manag., vol. 5, no. 3, pp. 52–61, 2010.

[9]     R. Baggio and L. Caporarello, “Decision support systems in a tourism destination: literature survey and model building,” U Proc. itAIS-2nd Conf. Ital. chapter AIS (Association Inf. Syst. Verona, Italy, no. December, pp. 1–15, 2005.

[10]   N. Gupta and Y. Singh, “Optimal selection of wind power plant components using technique for order preference by similarity to ideal solution (TOPSIS),” Int. Conf. Electr. Power Energy Syst. ICEPES 2016, no. 2, pp. 310–315, 2017.

[11]    W. Chien, “The Study for Selecting the Cloud Service Consignment Performance in Group Decision of Shared Inventory Resource in Traditional Garments Industry.” .

[12]   M. Dȩbski and W. Nasierowski, “Criteria for the Selection of Tourism Destinations by Students from Different Countries,” Found. Manag., vol. 9, no. 1, pp. 317–330, 2017.

[13]   I. Irvanizam, “Multiple Attribute Decision Making with Simple Additive Weighting Approach for Selecting the Scholarship Recipients at Syiah Kuala University,” no. ICELTICs, pp. 245–250, 2017.

[14]   J. Wu, J. Sun, Y. Zha, and L. Liang, “Ranking approach of cross-efficiency based on improved TOPSIS technique,” J. Syst. Eng. Electron., vol. 22, no. 4, pp. 604–608, 2011.

[15]   A. Masruro and E. T. Luthfi, “SISTEM PENUNJANG KEPUTUSAN PENENTUAN LOKASI WISATA MENGGUNAKAN K-MEANS CLUSTERING DAN TOPSIS Abstraksi Pendahuluan Tinjauan Pustaka,” vol. 15, no. 4, pp. 1–5, 2005.

[16]   D. Nofriansyah, Konsep Data Mining Vs Sistem Pendukung Keputusan. Yogyakarta: Deepublish, 2015.