Open AccessAdditive Ratio Assessment (ARAS) Method for Selecting English Course Branch Locations
Author(s) -
Volvo Sihombing,
Zulkarnain Nasution,
Muhammad Ali Al Ihsan,
Marlina Siregar,
Ibnu Rasyid Munthe,
Victor Marudut Mulia Siregar,
Irma Fatmawati,
Dedy Ari Asfar
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1933/1/012070
Subject(s) - course (navigation) , selection (genetic algorithm) , computer science , renting , population , operations research , operations management , engineering , artificial intelligence , civil engineering , sociology , demography , aerospace engineering
The research was conducted to overcome the problem of selecting a location for the opening of a new branch of the Murni Sadar English Course. The increasing need for the community to learn English has made Murni Sadar English Course to expand and open a branch of English courses in a new location. This problem is overcome by designing a support system that functions to help facilitate the selection of new branch locations. This DSS is designed using the Additive Ratio Assessment (ARAS) method using 5 criteria: population density level, access to locations, crowd level, rental costs, and population income. From the results of this study it is concluded that the ARAS method is very appropriate to be used as a tool in decision support where the best alternative location is Patuan_Anggi_Street with an alternative value of 0.1778.