Searching smart city in Indonesia through maturity model analysis: (Case study in 10 cities)

Firmanyah, Rendra Sandhi; Supangkat, Suhono Harso; Arman, Arry Akhmad; Adhitya, Ryan

doi:10.1109/ictss.2017.8288880

Cited by 23 publications

(13 citation statements)

References 6 publications

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“…Although smart society is one of the most widely used indicators of smart city measurement, smart society is one of the lowest score indicators with a value of <10%, especially in relation to education [25][26]. The social problem is a challenge in itself in the development of smart cities, in particular small towns, so that special attention is needed to enhance the importance of its feasibility [18][25] [31].…”

Section: Results Datamentioning

confidence: 99%

Smart City: The main assist factor for smart cities Analysis: a systematic review

Ningrum¹

2024

IJIES

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Initially, A smart city was originally a solution used to deal with the environmental crisis that took place in the 20th century. Smart city concepts derive from the use of technology and knowledge to enhance society's efficiency and competitiveness. The indicators are needed that support the achievement of a smart city. We will analyze the indicators that can impact the smart city achievement in this article. The aim of this study is to identify the indicators that influence the process of developing a smart city in order to be able to help other cities to establish sustainable policies and work plans so that they can prepare themselves for a smart city consistently. From the results of content analysis and descriptions of literature reviews, it is concluded that the indicators most used in the assessment of smart cities are divided into eight groups of indicators, including governance, economy, living, mobility, environment, people, branding, and demography.

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Section: Results Datamentioning

confidence: 99%

Smart City: The main assist factor for smart cities Analysis: a systematic review

Ningrum¹

2024

IJIES

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“…Maturity model is a framework that describes the behaviours, practices, and processes to evaluate the capability of an organization (Firmanyah et al, 2017). Maturity models generally aims to make organizations to measure and optimize the progression of skills and competences developed in a particular area (Afonso et al, 2015).…”

Section: Smart City Maturity Assessment Modelmentioning

confidence: 99%

Leveraging Maturity Assessment to Choose the Right Applications for Smart Cities: Turkey’s Approach

Bayraktar¹,

Bayar²,

Kara³

et al. 2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Cities are facing numerous challenges because of the unprecedented growth of population all over the world. In this context, smart city stands out as a viable option to improve quality of life. Smart city, with its ability to transform the information into economic, social and environmental benefits, offers acquisitions in the fields of sustainable development, competitiveness and environmental sustainability. However, the cost of implementing and maintaining smart city applications on a large scale reveals the necessity to choose the right smart city application at the beginning of smart city transformation. In order to determine which smart city application should be used in smart city domain, the current situation and needs of the city should be analysed effectively. Maturity assessment can be used as a tool to understand the existing conditions of a city. In this study, Turkey's smart city approach will be addressed and Smart City Maturity Assessment Model of Turkey will be introduced with the preparation and implementation process. Consequently, the impact of the Smart City Maturity Assessment Model on selection of smart city applications will be discussed with the result of maturity assessment which is implemented on 4 cities of Turkey.

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“…Kota Bekasi merupakan salah satu kota di Provinsi Jawa Barat yang menerapkan program Smart City. Firmanyah et al (2018) mengidentifikasi penerapan smart city dapat dilakukan ketika manusia, sosial, infrastruktur tradisional dan infrastruktur modern (TIK) mendukung pertumbuhan ekonomi dan kualitas hidup. Hal itu dapat dicapai dengan melakukan tata kelola semua sumber daya dengan baik.…”

Section: Pendahuluanunclassified

“…Jumlah tersebut diprediksi bersumber dari migrasi masuk tiap tahun sebesar rata-rata 45 ribu jiwa (Pemkot Bekasi, 2019). Parasati dalam Firmanyah et al (2018) menyebutkan bahwa 67% penduduk di Indonesia tinggal di wilayah perkotaan. Pada tahun 2045 diperkirakan persentasenya akan meningkat menjadi lebih dari 80%.…”

Section: Pendahuluanunclassified

Implementasi Bekasi Smart City: Pengaruh Karakteristik Pengguna Terhadap Perilaku Komunikasi Pengguna Pengaduan Online Terpadu (Pot)

Yuniarti

Armen

2020

j. penelit. komun. dan pembang.

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The presence of the Integrated Online Complaints (POT) application created by the Bekasi City Administration provides an opportunity for citizens to submit complaints and reports various problems that occured. However, community participation using this application is still limited. Therefore, this study aimed to identify the influence of POT application users characteristics on their communication behavior to the Bekasi City Administration. This research used an explanatory sequential mixed method with the total sample consisted of 100 people. The results showed that the perception of trust, suitability, and perceived ease of POT users were significantly related to information seeking and information dissemination. This indicated that POT users would disseminate information when they believed the application has helped them in solving problems. Users who felt satisfied and considered the application easy to use also tended to recommend it to relatives, friends and others around their environment. POT users felt that the problems they have been facing were handled more quickly after reporting complaints through the application, However, the communication and response of the Bekasi City Administration were still inadequate.

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Searching smart city in Indonesia through maturity model analysis: (Case study in 10 cities)

Cited by 23 publications

References 6 publications

Smart City: The main assist factor for smart cities Analysis: a systematic review

Smart City: The main assist factor for smart cities Analysis: a systematic review

Leveraging Maturity Assessment to Choose the Right Applications for Smart Cities: Turkey’s Approach

Implementasi Bekasi Smart City: Pengaruh Karakteristik Pengguna Terhadap Perilaku Komunikasi Pengguna Pengaduan Online Terpadu (Pot)

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