3243 Adelia Frielady Yosifa 1 , IJMCR Volume 11 Issue 02 February 2023 Volume 11 Issue 02 February 2023, Page no. – 3243-3247 Index Copernicus ICV: 57.55, Impact Factor: 8.187 DOI: 10.47191/ijmcr/v11i2.03 Classification of Cities in Europe Based on Smart City Indicators Using Multidimensional Scaling Analysis Adelia Frielady Yosifa 1 , Dita Aris Novianti 2 , Nina Auliyah 3 , Sugha Faiz Al Maula 4 , Dita Amelia 5 , M. Fariz Fadillah Mardianto 6 , Elly Ana 7 1,2,3,4,5,6 Statitics Study Program, Mathematics Departement, Science and Technology Faculty, Universitas Airlangga, Surabaya, East Java, Indonesia ARTICLE INFO ABSTRACT Published Online: 15 February 2023 Corresponding Author: Dita Amelia A decent life has become a hot issue for discussion as stated in the SDGs points, one of them is Smart City. In this research, the researchers used cities in Europe, a continent with countries that tend to have developed. By using multidimensional scaling analysis techniques, the authors present the mapping from an objective data-based point of view, aiming to analyze the closeness of characteristics between 70 cities spread across Europe, and provide ideas and valuable sources for policymakers. From the results of this analysis using R software, it was found that cities within the same country tend to have similar characteristics, which can take into consideration by the European Union to carry out equitable development for cities that do not have good enough smart city indicators. KEYWORDS: Smart City, Europe, City, Multidimensional Scaling, Developed Countries I. INTRODUCTION Currently, almost 55% of the world's population lives in urban areas, and it is estimated that this number will increase to 66% by 2030 [12]. Since the industrial revolution, cities around the world have developed massively, including in Europe, which started the revolution industry. However, urban areas growth in opposite with environmental sustainability, access to transportation and other supporting things. Therefore, an idea appears in development cities with name smart city. Figure 1. Indicators of Smart City These indicators in figure 1 explain all the needs of urban communities[1]. So that, the government must pay attention to those aspect. Multidimensional Scaling (MDS) is a multivariate analysis tool that deals with placing several objects on a multidimensional map determined by research based on the proximities (closeness values) between these objects. Multidimensional Scaling (MDS) is a method used to describe multivariate data transformed into a lower dimensional space. The basic principle and purpose of Multidimensional Scaling (MDS) analysis are to adjust the original data into a low-dimensional coordinate system to minimize distortion in dimension reduction. Multidimensional Scaling (MDS) relates to making perceptual maps to describe the position of an object with other objects based on the similarity of these objects. Distortion generally refers to similarities or dissimilarities (distance) between the original data points. The hope is that we find out which cities have similar characteristics and become reference material in the future for better and more equitable development. II. LITERATUR REVIEW Smart City Smart cities are innovative efforts made by urban ecosystems to overcome various problems and improve the quality of