TOPSIS for mobile based group and personal decision support system

Authors

  • Ratih Kartika Dewi Universitas Brawijaya, Malang, (Scopus Author ID: 56850281000; h-index Scopus 1) http://orcid.org/0000-0003-1566-6377
  • Eriq Muhammad Adams Jonemaro Universitas Brawijaya, Malang
  • Agi Putra Kharisma Universitas Brawijaya, Malang
  • Najla Alia Farah Universitas Brawijaya, Malang
  • Mury Fajar Dewantoro Ritsumeikan University, Shiga

DOI:

https://doi.org/10.26594/register.v7i1.2140

Keywords:

BORDA, Group Decision Making, Multi Criteria Decision Making, TOPSIS

Abstract

Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is an algorithm that can be used for alternative design in a decision support system (DSS). TOPSIS provides recommendation so that users can get information that support their decision, for example a tourist wants to visit a tourist destination in Malang, then TOPSIS provides recommendations of tourist destinations in the form of ranking recommendation, with the highest rank is the most recommended recommendation. TOPSIS-based Mobile Decision Support System (DSS) has relatively low algorithm complexity. However, there are some cases that require development from personal DSS to group DSS, for example tourists rarely come alone, in which case most of them invite friends or family. For users who are more than 1 person, the TOPSIS algorithm can be combined with the BORDA algorithm. This study explains about the implementation & testing of TOPSIS and TOPSIS-BORDA as algorithms for personal and group DSS in mobile-based tourism recommendation system in Malang. Correlation testing was conducted to test the effectiveness of TOPSIS in mobile-based recommendation system. In previous study, correlation testing for personal DSS showed that there was a relationship between the recommendation and user choice, with correlation value of 0.770769231. In this study, correlation testing for group DSS showed there is a positive correlation of 0.88 between the recommendations of the group produced by TOPSIS-BORDA and personal recommendations for each user produced by TOPSIS.

Author Biographies

Ratih Kartika Dewi, Universitas Brawijaya, Malang, (Scopus Author ID: 56850281000; h-index Scopus 1)

Department of Computer Science

Eriq Muhammad Adams Jonemaro, Universitas Brawijaya, Malang

Department of Computer Science

Agi Putra Kharisma, Universitas Brawijaya, Malang

Department of Computer Science

Najla Alia Farah, Universitas Brawijaya, Malang

Department of Computer Science

Mury Fajar Dewantoro, Ritsumeikan University, Shiga

Graduate School of Information Science and Engineering

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Published

2021-02-15

How to Cite

[1]
R. K. Dewi, E. M. A. Jonemaro, A. P. Kharisma, N. A. Farah, and M. F. Dewantoro, “TOPSIS for mobile based group and personal decision support system”, regist. j. ilm. teknol. sist. inf., vol. 7, no. 1, pp. 43–49, Feb. 2021.

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