Implementasi Metode Topsis pada Sistem Penunjang Keputusan Pemilihan Wedding Venue

  • Iga Fitria Ekawati Universitas Narotama Surabaya
  • Latipah Universitas Narotama Surabaya
Keywords: sistem pendukung keputusan, wedding venue, TOPSIS

Abstract

To prepare for the wedding, it takes energy and enough time for the program to work as it wishes. The dream of having a beautiful and exciting wedding is every couple's dream. Surabaya was one of the towns with the heavy population. Surabaya was one of the towns with the heavy population. Such conditions are problematic because if couples who are going to celebrate the wedding don't have enough land to host a wedding venue in Surabaya. Gathering information regarding a wedding venue takes a long time. On the question of obtaining it, a wedding venue customization system was developed to make it easier for the tenants to select the appropriate venue. One algorithm that can be used to make recommendations with multiple criteria and alternatives is Technique For Order of Preference by Similarity to Ideal Solusition (TOPSIS). TOPSIS is an algorithm with the highest alternative proceeds to have the shortest distance from the ideal positive solution and the farthest from the negative ideal solution to the criteria used by wedding venue elections to include rent costs, the sum of housing, facilities and the exact distance from the tenants' location to the building. To design this recommendation system, SDLC development methods are used that have grooves of grooves at every step made. Results obtained through two testing stages are functional and non-functional testing. At functional testing were black box testing techniques and 100% obtained results. Non-functional testing is done to shift from system recommendation output to manual calculating output. Results derived from non-functional testing by 100%.

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Published
2021-02-23
How to Cite
[1]
I. Fitria Ekawati and Latipah, “Implementasi Metode Topsis pada Sistem Penunjang Keputusan Pemilihan Wedding Venue ”, JIP, vol. 7, no. 2, pp. 103-108, Feb. 2021.