Smart City Recommendations Using the TOPSIS Method

This study aims to recommend a city that is suitable as a Smart City on the island of Sumatera. This study uses a Decision Support System with the TOPSIS (Technique For Others Reference by Similarity to Ideal Solution) Method. The TOPSIS method is one method that is often used for ranking problems....

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2020-05, Vol.846 (1), p.12028
Main Authors: Nasution, Nurliana, Bhawika, Gita Widi, Wanto, Anjar, Ginantra, Ni Luh Wiwik Sri Rahayu, Afriliansyah, Teuku
Format: Article
Language:English
Subjects:
Decision support systems
Encyclopedias
Smart cities
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Summary:This study aims to recommend a city that is suitable as a Smart City on the island of Sumatera. This study uses a Decision Support System with the TOPSIS (Technique For Others Reference by Similarity to Ideal Solution) Method. The TOPSIS method is one method that is often used for ranking problems. The research data used are data from 10 major cities on the island of Sumatera. with the largest population in 2019 obtained from the Wikipedia Website (https://www.wikipedia.org/wiki/Sumatra) and the Central Statistics Agency website (https://www.bps.go.id/) as a reference in determining the assessment of each Alternative later. The 10 major cities are Medan, Palembang, Bandar Lampung, Pekanbaru, Batam, Padang, Jambi, Bengkulu, Banda Aceh, and Pematangsiantar. To be able to determine and recommend cities in the islands of Sumatera that are eligible to become Smart Cities, there are 4 criteria as an assessment of each Alternative, namely, Infrastructure, Population, Area, and Economic Level. Based on calculations using the TOPSIS method, the results obtained that the city of Medan has the highest value in the eligibility to become a Smart City.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/846/1/012028