scholarly journals Analisis Big Data untuk Kota Aman

2019 ◽  
Vol 2 (3) ◽  
pp. 203-217
Author(s):  
Setiyono
Keyword(s):  
Big Data ◽  
Smart City ◽  
Prediction Models ◽  
Smart Cities ◽  
City Government ◽  
Average Score ◽  
Maturity Level ◽  
Big City ◽  
Integrative Level ◽  
The City

Abstract—Smart solutions are needed by the city government to overcome various city problems. One solution is smart city. To realize smart city, one of the main challenges is the solution to overcome the city's security problems. Currently cities in Indonesia do not yet know the level of security of their cities. The level of city security can be obtained by surveying various cities. But surveys require personnel, time and cost that is not small. In this study the authors propose a method by designing a model to determine the level of security of cities in Indonesia by utilizing big data through the prediction of sentiment analysis of people's perceptions of city security on Twitter. This research was conducted in 25 cities in Indonesia which are divided into 8 big cities, 9 medium cities and 8 small cities. The results of the prediction models designed in this study are generally not much different from the results of the 2019 RKCI (Indonesia Smart Cities Rating) survey in the field of security and disaster. The results of this study found that 4 cities with a maturity level of security are at the Integrative level (score 60 to 79 in GSCM Maturity Level), namely Tangerang, Kediri, Parepare and Probolinggo, while the other 21 cities are at the Scattered level (score 40 to 59). The average score for the big city category is 55.41, while the middle city score is 55.48 and the small city is 53.70. The results of performance measurement of this prediction model are for an accuracy value of 80.10% while a precision value of 81.10% and a recall value of 82.62%.

YOUTH EXPECTATIONS OF SMART CITY LIVING: AN IMPORTANCE- PERFORMANCE ANALYSIS OF YOUNG RESIDENTS’ PERSPECTIVES OF CITY GOVERNMENT

2017 ◽  
Vol 14 (1) ◽  
pp. 118-128
Author(s):  
Jason Cohen ◽  
Judy Backhouse ◽  
Omar Ally
Keyword(s):  
Performance Analysis ◽  
Young People ◽  
Smart City ◽  
Smart Cities ◽  
City Government ◽  
Diagnostic Tools ◽  
City Management ◽  
Bottom Up ◽  
Starting Point ◽  
The City

Young people are important to cities, bringing skills and energy and contributing to economic activity. New technologies have led to the idea of a smart city as a framework for city management. Smart cities are developed from the top-down through government programmes, but also from the bottom-up by residents as technologies facilitate participation in developing new forms of city services. Young people are uniquely positioned to contribute to bottom-up smart city projects. Few diagnostic tools exist to guide city authorities on how to prioritise city service provision. A starting point is to understand how the youth value city services. This study surveys young people in Braamfontein, Johannesburg, and conducts an importance-performance analysis to identify which city services are well regarded and where the city should focus efforts and resources. The results show that Smart city initiatives that would most increase the satisfaction of youths in Braamfontein  include wireless connectivity, tools to track public transport  and  information  on city events. These  results  identify  city services that are valued by young people, highlighting services that young people could participate in providing. The importance-performance analysis can assist the city to direct effort and scarce resources effectively.

A City for Smart Technology Transformation

2022 ◽  
pp. 130-150
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
City Government ◽  
City Development ◽  
City Governments ◽  
Strategic Goals ◽  
The Government ◽  
Smart Technologies ◽  
Technology Transformation ◽  
The City

The main purpose of this chapter is to present how a smart city is governed, managed, and operated. It describes smart city governance and identifies the special relation the government of the city would have with the citizens as well as communities. In addition, governance considerations related to operations are described, including critical city government challenges. The second important topic in this chapter is the City-Citizens Relations highlighting urban growth, needed investments, and role of smart technologies in the city development. In addition, other issues include strategic goals of smart cities, strategic framework for city governments, and financing smart city projects.

scholarly journals Managing Large Amounts of Data Generated by a Smart City Internet of Things Deployment

2016 ◽  
Vol 12 (4) ◽  
pp. 22-42 ◽  
Author(s):  
Jorge Lanza ◽  
Pablo Sotres ◽  
Luis Sánchez ◽  
Jose Antonio Galache ◽  
Juan Ramón Santana ◽  
...  
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Information And Communication Technologies ◽  
Smart City ◽  
Smart Cities ◽  
Communication Technologies ◽  
Added Value ◽  
Amount Of Information ◽  
Information And Communication ◽  
The City

The Smart City concept is being developed from a lot of different axes encompassing multiple areas of social and technical sciences. However, something that is common to all these approaches is the central role that the capacity of sharing information has. Hence, Information and Communication Technologies (ICT) are seen as key enablers for the transformation of urban regions into Smart Cities. Two of these technologies, namely Internet of Things and Big Data, have a predominant position among them. The capacity to “sense the city” and access all this information and provide added-value services based on knowledge derived from it are critical to achieving the Smart City vision. This paper reports on the specification and implementation of a software platform enabling the management and exposure of the large amount of information that is continuously generated by the IoT deployment in the city of Santander.

Deconstructing Smart Cities

Big Data ◽  
2016 ◽  
pp. 1957-1969
Author(s):  
Michael Batty
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Smart City ◽  
New Technologies ◽  
Smart Cities ◽  
Public Realm ◽  
The Public ◽  
Important Challenge ◽  
Urban Problems ◽  
The City

This chapter defines the smart city in terms of the process whereby computers and computation are being embedded into the very fabric of the city itself. In short, the smart city is the automated city where the goal is to improve the efficiency of how the city functions. These new technologies tend to improve the performance of cities in the short term with respect to how cities function over minutes, hours or days rather than over years or decades. After establishing definitions and context, the author then explores questions of big data. One important challenge is to synthesize or integrate different data about the city's functioning and this provides an enormous challenge which presents many obstacles to producing coherent solutions to diverse urban problems. The chapter augments this argument with ideas about how the emergence of widespread computation provides a new interface to the public realm through which citizens might participate in rather fuller and richer ways than hitherto, through interactions in various kinds of decision-making about the future city. The author concludes with some speculations as to how the emerging science of smart cities fits into the wider science of cities.

Deconstructing Smart Cities

2014 ◽  
pp. 1-13 ◽  
Author(s):  
Michael Batty
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Smart City ◽  
New Technologies ◽  
Smart Cities ◽  
Public Realm ◽  
The Public ◽  
Important Challenge ◽  
Urban Problems ◽  
The City

This chapter defines the smart city in terms of the process whereby computers and computation are being embedded into the very fabric of the city itself. In short, the smart city is the automated city where the goal is to improve the efficiency of how the city functions. These new technologies tend to improve the performance of cities in the short term with respect to how cities function over minutes, hours or days rather than over years or decades. After establishing definitions and context, the author then explores questions of big data. One important challenge is to synthesize or integrate different data about the city's functioning and this provides an enormous challenge which presents many obstacles to producing coherent solutions to diverse urban problems. The chapter augments this argument with ideas about how the emergence of widespread computation provides a new interface to the public realm through which citizens might participate in rather fuller and richer ways than hitherto, through interactions in various kinds of decision-making about the future city. The author concludes with some speculations as to how the emerging science of smart cities fits into the wider science of cities.

scholarly journals Key Factors in Big Data Implementation for Smart City: A Systematic Literature Review

2021 ◽  
Vol 006 (01) ◽  
pp. 16-22
Author(s):  
Yulida Safitri
Keyword(s):  
Big Data ◽  
Smart City ◽  
Smart Cities ◽  
Research Paper ◽  
City Government ◽  
Data Availability ◽  
Management Support ◽  
Key Factors ◽  
Privacy And Security ◽  
Technological Infrastructure

Many governments implement smart city concept in their daily operation. As the concept continues to develop, smart cities all over the world are now starting to utilize big data. Learning from their private counterparts that already ahead in harnessing the potential benefits of big data implementation, smart cities begin the transformation of implementing big data. The purpose of this research paper is to: 1) Review the possible opportunities offered by big data implementation in smart city, 2) Review the challenges that smart city need to solve in utilizing big data, 3) Develop a framework that addresses the key factors in successful big data implementation in smart city. This research paper produces a framework that addresses several key factors that smart city government should consider ensuring success when implementing big data based on the proposed model indicators in private sectors. This framework consists of key factors of big data implementation for smart city which are top management support, organizational change, privacy and security, data availability and quality, cost, skillset and knowledge, big data policy, and technological infrastructure. It is important to have an understanding that these key factors correlate each other and are equally important.

Big Data Utilization, Benefits, and Challenges for Smart City Implementation

2019 ◽  
pp. 42-54 ◽  
Author(s):  
Sonali Vyas ◽  
Deepshikha Bhargava
Keyword(s):  
Big Data ◽  
High Velocity ◽  
Smart City ◽  
Smart Cities ◽  
Digital Information ◽  
Data Utilization ◽  
Performance Quality ◽  
Big Data Applications ◽  
The City ◽  
Advanced Version

With the rapid advancement of technology, everything is transforming into smarter versions. The term smart city means a technologically strengthened and advanced version of the city. Smart cities utilize digital information and techniques for improving services like performance, quality, etc. Big data technology and methods are utilized for handling the vast volume, high velocity and wide variety of data related to cities. This chapter discusses the big data utilization for making smart cities and also throws light on various applications where efficient analysis of services can be carried out using Big Data techniques. The main objective of this chapter will be to provide knowledge of big data implementation for the smart city and its services. This chapter will also investigate various prospects, benefits, and challenges of absorbing big data utilization for smart cities. It will also discuss some case studies related to big data applications for smart city services. It will also propose some open issues related to big data implementation for the smart city.

scholarly journals Managing Large Amounts of Data Generated by a Smart City Internet of Things Deployment

2019 ◽  
pp. 870-892
Author(s):  
Jorge Lanza ◽  
Pablo Sotres ◽  
Luis Sánchez ◽  
Jose Antonio Galache ◽  
Juan Ramón Santana ◽  
...  
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Information And Communication Technologies ◽  
Smart City ◽  
Smart Cities ◽  
Communication Technologies ◽  
Added Value ◽  
Information And Communication ◽  
The City ◽  
Specification And Implementation

The Smart City concept is being developed from a lot of different axes encompassing multiple areas of social and technical sciences. However, something that is common to all these approaches is the central role that the capacity of sharing information has. Hence, Information and Communication Technologies (ICT) are seen as key enablers for the transformation of urban regions into Smart Cities. Two of these technologies, namely Internet of Things and Big Data, have a predominant position among them. The capacity to “sense the city” and access all this information and provide added-value services based on knowledge derived from it are critical to achieving the Smart City vision. This paper reports on the specification and implementation of a software platform enabling the management and exposure of the large amount of information that is continuously generated by the IoT deployment in the city of Santander.

scholarly journals IMPLEMENTASI KEBIJAKAN SMART GOVERNMENT DALAM RANGKA MEWUJUDKAN SMART CITY DI KOTA BANDUNG

2019 ◽  
Vol 44 (2) ◽  
pp. 81-106
Author(s):  
Annisa Rahmadanita ◽  
Eko Budi Santoso ◽  
Sadu Wasistiono
Keyword(s):  
Policy Implementation ◽  
Smart City ◽  
Technology Development ◽  
Positive Impact ◽  
Smart Cities ◽  
City Government ◽  
Government Policies ◽  
Target Groups ◽  
The City ◽  
Smart Government

The application of smart city (especially in the aspect of smart government) in the city of Bandung is still focused on technology development, and seems to ignore the human and institutional dimensions. This study aims to describe and analyze the implementation of smart government policies in order to realize a smart city in the city of Bandung. The researcher used the theory presented by Grindle as a guide related to policy implementation. The researcher used a qualitative method with a descriptive approach. In collecting data, researchers conducted interviews with 37 informants, made observations with the participant as observer method, and collected documents about the implementation of smart government policies in order to realize smart cities. The results showed that (1) implementation of smart government policies in order to realize smart cities in the city of Bandung in general has a positive impact on target groups (target groups). Context of implementation (context of implementation) shows a condition that is not good while Content of policy shows good conditions. In this study the content of policy factor has more influence on outcomes / outcomes than factors of context of implementation. Because the implementation of the smart government policy in the city of Bandung is more influenced by content of policy than context of implementation, the researchers suggested to the Bandung City Government to maximize various conditions in the Content of Policy in order to improve the outcomes of implementing smart government policies that have been implemented.Keywords: Policy Implementation, Smart Government, Smart City

scholarly journals Digitization and urban governance: The city as a reflection of its data infrastructure

2021 ◽  
pp. 002085232110332
Author(s):  
Ali Bayat ◽  
Peter Kawalek
Keyword(s):  
Big Data ◽  
Smart City ◽  
Urban Governance ◽  
Smart Cities ◽  
Engaged Scholarship ◽  
Data Governance ◽  
Data Infrastructure ◽  
Big Data Technologies ◽  
Data Infrastructures ◽  
The City

This article introduces the ‘House Model’, an integrated framework consisting of four data governance modes, based on the urban and smart city vision, context, and big data technologies. The model stems from engaged scholarship, synthesizing and extending the academic debates and evidence from existing smart city initiatives. It provides a means for comparing cities in terms of their digitization efforts, helps the planning of more effective urban data infrastructures and guides future empirical research in this area. The article contributes to the literature examining the issue of big data and its governance in local government and smart cities. Points for practitioners Data is a vital part of smart city initiatives. Where the data comes from, who owns it and how it is used are all important questions. Data governance is therefore important and has consequences for the overall governance of the city. The House Model presented in this article provides a means for organizing data governance. It relates questions of data governance to the history and vision of smart city initiatives, and provides a typology organizing these initiatives.

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