Smart City Recommendations Using the TOPSIS Method

Nurliana Nasution*, Gita Widi Bhawika, Anjar Wanto, Ni Luh Wiwik Sri Rahayu Ginantra, Teuku Afriliansyah

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number012028
JournalIOP Conference Series: Materials Science and Engineering
Volume846
Issue number1
DOIs
Publication statusPublished - 27 May 2020
EventInternational Conference on Applied Sciences, Information and Technology 2019, ICo-ASCNITech 2019 - Padang, Indonesia
Duration: 1 Nov 20193 Nov 2019

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