Perbandingan Metode Saw Dan Topsis Dalam Pemilihan Tujuan Wisata Di Jawa Barat
DOI:
https://doi.org/10.33633/tc.v18i1.2098Keywords:
Saw, Topsis, Tourist DestinationAbstract
The activities of diverse, dense flurry of making people want to refresh eliminate tired from the busy daily routine. One way is to make a tour. Determine the purpose of there desirability is not easy. Prior to the goal, first seeking information about the area to be visited, then comparing and selecting the appropriate criteria. To assist visitors in finding a tourist holiday destination then it takes a computer-based system. This system can be used for decision making for tourist visitors to search for a tourist destination. The required criteria are the location, costs, transportation, distance, time of visit, and facilities. This study compares the author Saw and Topsis method, where that method showed results perangkingan not always the same because there is a different algorithm and value weighting scale differences. The purpose of this method is to help visitors who would tour the West Java in choosing the right attractions in accordance with his wishes. The research indicates that based on the method of Saw, the code (A3) with a value of 0.80 with the tourist attractions of the Park is designated as the primary option mekarsari on attractions in Indonesia. Whereas, the calculation using Topsis method in the code (A5) Goa Buniayu to the first option with a value of 0.59.References
D. Purnamasari, G. Abdillah, and A. Komarudin, “Sistem Pendukung Keputusan Rekomendasi Tempat Wisata Di Jawa Barat Menggunakan Metode Technique For Order Preference By Similarity To Ideal Solution (Topsis),†Prosiding Snatif Ke -4 Tahun 2017, PP. 265–272, 2017.
N. Putu and E. Mahadewi, “Cooking Class Sebagai Paket Wisata,â€Jurnal Industri Perjalanan Wisata, vol. 3, no. 1, pp. 29–33, 2015.
Http://www.disparbud.jabarprov.go.id/, “Info Wisata - Web Dinas Pariwisata dan Kebudayaan Provinsi Jawa Barat,†2018. [Online]. Available: http://www.disparbud.jabarprov.go.id/applications/frontend/index.php?mod=objek-wisata. [Accessed: 19-Sep-2018].
M. Dȩbski and W. Nasierowski, “Criteria for the Selection of Tourism Destinations by Students from Different Countries,†Foundations Of Management, vol. 9, no. 1, pp. 317–330, 2017.
R. P, Noviana Eka. Sihwi, Sari Widya. Anggraningsih, “Sistem Penunjang Keputusan Untuk Menentukan Lokasi Usaha Dengan Metode Simple Additive Weighting (Saw),†Jurnal Teknologi dan Informasi is Journal that published by Department of Informatics Sebelas Maret University,vol. 3, no. 1, pp. 41–46, 2014.
R. N. Sari, R. Santoso, and Hasbi Yasin, “Komputasi metode saw dan topsis menggunakan gui matlab untuk pemilihan jenis objek wisata terbaik,†Jurnal Gaussian,vol. 5, pp. 289–298, 2016.
R. E. Putri, “Sistem Pendukung Keputusan Pemilihan Lokasi Mendirikan Usaha Kuliner di Kota Nganjuk Menggunakan Metode Topsis Berbasis Webgis,†Journal of Information and Technology, no.01, December 2016, 2016.
M. A. Mude, “Perbandingan Metode Saw dan Topsis Pada Kasus UMKM,†Jurnal Ilkom, vol. 8, no. 2, pp. 76–81, 2016.
N. Gupta and Y. Singh, “Optimal selection of wind power plant components using technique for order preference by similarity to ideal solution (Topsis),†International Conference on Electrical Power Energy System ( ICEPES) 2016, no. 2, pp. 310–315, 2017.
I. Irvanizam,“Multiple Attribute Decision Making with Simple Additive Weighting Approach for Selecting the Scholarship Recipients at Syiah Kuala University,†International Conference on Electrical Engineering and Informatics (ICELTICs), pp. 245–250, 2017.
Ikmah dan Anik sri widawati Ikhmah, “Sistem Pendukung Keputusan Pemilihan Tempat Wisata,†Seminar Nasional Teknologi Informasi Dan Multimedia 2018,pp. 91–96, 2018.
Fatkhurrochman and D. Astuti, “Analisis perbandingan metode Topsis dan Saw dalam penentuan penerima bantuan pembangunan rumah masyarakat kurang mampu,†Seminar Nasional Teknologi Informasi Dan Multimedia 2018, pp. 67–72, 2018.
R. Ardhi and I. P. Endahuluan, “Komparasi Metode Saw dan Topsis untuk Menentukan Prioritas Perbaikan Jalan,†Jurnal Teknik Elektro, vol. 8, no. 1, pp. 8–11, 2016.
N. Satrio, “Sistem Pendukung Keputusan Pemilihan Lokasi Objek Wisata Di Kabupaten Grobogan Menggunakan Metode Profile Matching,†Skrips Fakultas Ilmu Komputer, 2013.
D. Nofriansyah, Konsep Data Mining Vs Sistem Pendukung Keputusan. Yogyakarta: Deepublish, 2015.
M. N. Febriyati, M. K. Sophan, and R. Yunitarini, “Perbandingan Saw dan Topsis Untuk Open Recruitment Warga Laboratorium Teknik Informatika Di Universitas Trunojoyo Madura,†Jurnal Simantec, vol. 5, no. 3, pp. 133–142, 2016.
Sugiyono, Metode Penelitian Pendidikan Pendekatan Kuantitatif. 2016.
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