Smart City Research in Indonesia: A Bibliometric Analysis

Parlina, Anne; Murfi, Hendri; Ramli, Kalamullah

doi:10.1109/qir.2019.8898264

Cited by 7 publications

(5 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, regarding the regions' cognitive model, this study shows that each region gains capabilities and competencies to provide counterfactual reasoning in developing smart cities (Tay et al, 2018;Mahesa et al, 2019;Parlina et al, 2019). In other words, the regions act to develop smart cities with their doubleloop learning as a consequence of a cognitive model.…”

Section: Introductionmentioning

confidence: 79%

The government of Indonesia’s smart city development: Fiscal capacity, cognitive models in decision making, excessive caution about future accrual of benefits, and null regulatory leadership

Bastian¹,

Effendi²,

Susanto³

et al. 2022

Front. Built Environ.

View full text Add to dashboard Cite

This article investigates the lack of certainty regarding the success of smart city development in the Government of Indonesia’s regions. The authors suspect that developing smart cities in each region ran independently and nationally, without a unifying strand of knowledge and information system leadership models. Based on these statuses and circumstances, this research examines these phenomena with two critical perspectives: The cognitive model of double-loop learning of smart city development and a dexterous strategy in terms of political economy. Consequently, this study finds that the regions developing a smart city act according to the statuses: Working with only fiscal budget readiness, cognitive models in the decisions to create future works, excessive caution about accruing potential future benefits, and null regulatory leadership in terms of guidelines. Thus, this study concludes that regions develop smart cities in their self-imagination without profound directional boundaries.

show abstract

Section: Introductionmentioning

confidence: 79%

The government of Indonesia’s smart city development: Fiscal capacity, cognitive models in decision making, excessive caution about future accrual of benefits, and null regulatory leadership

Bastian¹,

Effendi²,

Susanto³

et al. 2022

Front. Built Environ.

View full text Add to dashboard Cite

show abstract

“…Jakarta also has several smart economy projects [120,121] that benefit its inhabitants. Among these programs are the following [122][123][124]: 1. JakPreneur: Jakarta's MSME development initiative encourages the creation and collaboration of an entrepreneurial ecosystem.…”

Section: Smart Economymentioning

confidence: 99%

“…Jakarta also has several smart economy projects [120,121] that benefit its inhabitants. Among these programs are the following [122][123][124]:…”

Section: Smart Economymentioning

confidence: 99%

“…However, the internet-based economy creates several threats, such as unlawful data copying and digital copyright infringement, posing the problem of preserving the security and copyright of important data housed in databases. This study [122] presents a unique approach, Lossless Database Watermarking in the Homomorphic Encryption domain (HOPE-L), to solve this difficulty. The method combines database encryption (homomorphic encryption, order-preserving encryption) and information concealing (lossless data-based watermarking) technologies.…”

Section: Countermeasuresmentioning

confidence: 99%

See 1 more Smart Citation

An Overview of Cyber Threats, Attacks and Countermeasures on the Primary Domains of Smart Cities

Demertzi

Demertzis

2023

Applied Sciences

View full text Add to dashboard Cite

A smart city is where existing facilities and services are enhanced by digital technology to benefit people and companies. The most critical infrastructures in this city are interconnected. Increased data exchange across municipal domains aims to manage the essential assets, leading to more automation in city governance and optimization of the dynamic offered services. However, no clear guideline or standard exists for modeling these data flows. As a result, operators, municipalities, policymakers, manufacturers, solution providers, and vendors are forced to accept systems with limited scalability and varying needs. Nonetheless, it is critical to raise awareness about smart-city cybersecurity and implement suitable measures to safeguard citizens’ privacy and security because cyber threats seem to be well-organized, diverse, and sophisticated. This study aims to present an overview of cyber threats, attacks, and countermeasures on the primary domains of smart cities (smart government, smart mobility, smart environment, smart living, smart healthcare, smart economy, and smart people). It aims to present information extracted from the state of the art so policymakers can perceive the critical situation and simultaneously be a valuable resource for the scientific community. It also seeks to offer a structural reference model that may guide the architectural design and implementation of infrastructure upgrades linked to smart city networks.

show abstract

“…Another research was from Supangat which examined the readiness of 15 cities in Indonesia in implementing smart cities, the result was that Smart Governance was the main factor in achieving success in implementing smart cities in a city. The conclusion of all this research is that each city has its own characteristic problems in implementing a smart city, so analysis is needed to assess various problems, as well as to test a city's readiness to implement a smart city (Arief et al, 2020;Darmawan et al, 2019Darmawan et al, , 2019Fadli & Sumitra, 2019;Negara & Emmanuel, 2019;Parlina et al, 2019;Supangkat et al, 2018;Syalianda & Kusumastuti, 2021;van der Linden, 2020).…”

Section: Introductionmentioning

confidence: 99%

Analysis Of Readiness For Smart City Implementation In Blora City Indonesia

Joko Handoyo,

Indra Gunawan,

Retno Wahyusari

2023

ICTMT

View full text Add to dashboard Cite

Smart city is a concept initiated by the forum for the future which is predicted to be able to solve all aspects of problems in the lives of urban communities. The Smart City Framework consists of six aspects, namely Smart Governance, Smart Economy, Smart Branding, Smart Living, Smart Society and Smart Environment. However, this concept is too broad and complex, covers many things and involves many parties who will be involved in its implementation, so it is needed mature concepts and frameworks as a reference in implementation. Apart from that, each city has different problem characteristics, so it is necessary to carry out analytical studies to find out the problems in each aspect of a smart city. This research aims to analyze the readiness for smart city implementation in the city of Blora, Central Java Province, Indonesia. This analysis will be carried out on 6 aspects of smart cities which will be divided into 17 variables. The approach taken is a qualitative method where an assessment of readiness to achieve achievement targets is carried out through interviews. From the analysis that has been carried out, it can be said that the readiness achieved by the City of Blora for Smart City implementation has reached 66.7% so it still really needs to be improved.

show abstract

Smart City Research in Indonesia: A Bibliometric Analysis

Cited by 7 publications

References 38 publications

The government of Indonesia’s smart city development: Fiscal capacity, cognitive models in decision making, excessive caution about future accrual of benefits, and null regulatory leadership

The government of Indonesia’s smart city development: Fiscal capacity, cognitive models in decision making, excessive caution about future accrual of benefits, and null regulatory leadership

An Overview of Cyber Threats, Attacks and Countermeasures on the Primary Domains of Smart Cities

Analysis Of Readiness For Smart City Implementation In Blora City Indonesia

Contact Info

Product

Resources

About