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âș UtamaâșAda 12 Kota Raih Penghargaan... SEKAR GANDHAWANGI UNTUK KOMPAS Pemberian penghargaan Indeks Kota Cerdas Indonesia IKCI 2018 diberikan oleh Kompas di Jakarta, Rabu 9/1/2019. Penghargaan diberikan kepada sembilan kota di KOMPAS â Sebanyak 12 kota di Indonesia meraih penghargaan Indeks Kota Cerdas Indonesia 2018 yang diberikan Kompas, Rabu 9/1/2019. Penghargaan ini diberikan kepada kota-kota yang yang dinilai berhasil menerapkan konsep kota cerdas atau smart city.âKota akan menjadi tujuan terakhir dalam pergerakan manusia. Sekarang ada sekitar 50 persen penduduk Indonesia yang tinggal di perkotaan. Perkembangan yang secara alamiah terjadi itu harus disertai dengan pengelolaan kota yang mumpuni bagi warga,â kata Pemimpin Redaksi Harian Kompas Ninuk Mardiana Pambudy di Jakarta. Penilaian untuk Indeks Kota Cerdas Indonesia IKCI 2018 dilakukan terhadap 93 kota otonom. Penilaian didasarkan pada data yang bersumber dari Badan Pusat Statistik dan sejumlah institusi resmi penilaian setara, kota-kota tersebut dibagi ke dalam empat kategori berdasarkan jumlah penduduk, yaitu Kota Metropolitan, Kota Besar, Kota Sedang, dan Kota Kecil. Hal itu sesuai dengan Peraturan Pemerintah Nomor 26 Tahun 2008 tentang Rencana Tata Ruang Wilayah Nasional. Skor penilaian berkisar dari angka 1 hingga GANDHAWANGI UNTUK KOMPAS Pemimpin Redaksi Harian Kompas Ninuk Mardiana Pambudy kanan berfoto bersama tiga wali kota pemenang Indeks Kota Cerdas Indonesia 2018 pada kategori Kota Metropolitan, yaitu Surabaya, Semarang, dan Tangerang Selatan, Rabu 9/1/2019, di kategori Kota Metropolitan, peringkat pertama IKCI 2018 diraih Surabaya dengan skor 67,03. Peringkat selanjutnya diraih Semarang dan Tangerang Selatan dengan skor 63,69 dan 61, pertama IKCI 2018 dalam kategori Kota Besar diraih Denpasar dengan skor 61,7. Surakarta dan Malang menyusul di peringkat kedua dan ketiga pada kategori yang sama dengan skor 61,5 dan 60, kategori Kota Sedang, peringkat satu diduduki Manado dengah skor 59,04. Salatiga dan Yogyakarta menyusul dengan skor 58,99 dan 58, Panjang meraih skor 55,15 pada kategori Kota Kecil dan meraih peringkat pertama. Sementara itu, Sungai Penuh dan Solok meraih peringkat selanjutnya dengan nilai 52,01 dan 51, enam dimensi penilaian IKCI 2018. Dimensi yang dimaksud adalah lingkungan smart environment, mobilitas smart mobility, pemerintah smart government, ekonomi smart economy, masyarakat smart people, dan kualitas hidup smart living.âPenekanan bobot penilaian IKCI 2018 ada pada pembangunan manusia dan manfaatnya untuk masyarakat,â kata juga Mengukur Kota, Menyejahterakan WargaGeneral Manager Litbang Kompas Harianto Santoso menyatakan, IKCI pertama kali diperkenalkan Kompas pada tahun 2015. Saat itu Kompas memublikasikan kota-kota di Indonesia yang jumlahnya 93 kota otonom dan 5 kota administrasi melalui liputan setiap hari. Selain infografik memuat statistik deskriptif, juga dipaparkan arah pembangunan kota dalam liputan kembali melakukan pengukuran kota pada tahun 2018. Prinsipnya adalah melanjutkan indeks yang sudah dilakukan tiga tahun sebelumnya. Sesuai dengan kaidah ilmiah, dilakukan beberapa penyesuaian dalam pengukuran. Mengenai indeks itu sendiri, dilakukan penyesuaian dari sebelumnya dimensi dengan tiga aspek menjadi enam aspek. Kali ini indeks mengadopsi model yang dikembangkan oleh Boyd Cohen, seorang penggiat kota cerdas di tataran Harianto, penilaian IKCI kali ini melibatkan 12 pakar dari disiplin ilmu berbeda-beda di antaranya pakar perencanaan perkotaan, sosiologi, dan bidang keahlian lain. Panitia merekrut mereka untuk melakukan penilaian atas aspek dimensi serta turunannya, begitu pula penilaian atas status kota itu sendiri. SEKAR GANDHAWANGI
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Discover the world's research25+ million members160+ million publication billion citationsJoin for free Smart City Measurement Identification of Smart Economy Performance Indicators in Indonesia Bima Ajie Bahari1,*, Tony Dwi Susanto2, Janti Gunawan3 1Faculty of Intelligent Electrical and Informatics Technology, Institute Technology Sepuluh Nopember, Surabaya Indonesia 2Faculty of Intelligent Electrical and Informatics Technology, Institute Technology Sepuluh Nopember, Surabaya Indonesia 3Department of Business Management, Institute Technology Sepuluh Nopember, Surabaya, Indonesia *Corresponding author. Email bimaajiebahari The concept of smart city is believed to be one of the solutions to overcome problems in urban areas. Although much research has been carried out, there is still no agreed international standards regarding models, concepts, indicators, ways to measure smart city performance and the characteristics of each country that are different. In Indonesia, there is a smart city model that consists of 6 dimensions. One of the dimensions is smart economy, where there are three sub-dimensions to make it more specific and targeted. The three sub-dimensions are industry, welfare, and transactions. Also, there are factors of each sub-dimensions for support purpose. Smart economy has goal to develop competitive, superior, and adaptive economic ecosystems. This study aims to identify indicators of the application of the smart economy in Indonesia. Literature reviews related to smart economy will be used, and article sources come from leading online databases. The purpose of the literature review is to find indicators of other research findings outside Indonesia that are relevant to this study. Hundreds of articles have been found and filtered into 30 articles only. From 30 literatures, synthesis analysis was carried out to look for indicators of findings and mapped according to sub-dimensions and factors in Indonesia's smart economy. As a result, there are 18 indicators found. Indicators resulting from this research are expected to contribute both in theory and practice. In addition, the indicators found are expected to help the government develop smart cities in Indonesia. Keywords smart city, smart economy, smart economy indicator, indicator development. 1. INTRODUCTIONSmart cities have become a trend in recent decades as part of the strategic planning of a modern city [1]. The concept of smart city itself has existed since 30 years ago, along with the popularization of Information and Communication Technologies ICT [2]. The goal of smart city according to Schaffers 2011 [3] is to build sustainable economic growth and improve the quality of life of the community by utilizing human resources, social capital and modern technological infrastructure through government-based community participation. The smart city idea cannot be separated from the increasing influence of urbanization [4]. It is estimated that by 2050, 68% of the world's population will live in cities [5]. In Indonesia there will be approximately 148 million inhabitants out of 264 million total population living in urban areas on 2018 [5]. This dynamic will bring important changes in the role of a city, considering that the city is not only a center of human activity but also a Advances in Economics, Business and Management Research, volume 175 Proceedings of the 2nd International Conference on Business and Management of Technology ICONBMT 2020Copyright © 2021 The Authors. Published by Atlantis Press is an open access article distributed under the CC BY-NC license - 294 great social and economic demand. Therefore urbanization can cause significant socio-economic changes and create new challenges for a country [4]. In Indonesia, smart city initiation has been started since 2017 through the "Movement Towards 100 Smart City" which is a program of several state institutions namely the Ministry of Communication and Information Technology Kemkominfo, the Ministry of Home Affairs, the Ministry of PUPR, Bappenas and the Presidential Staff Office [6]. This movement aims to encourage and guide districts or cities in Indonesia to develop a master plan for the formation of smart cities in their respective regions to maximize the potential of available resources and technology [7]. In its implementation, there are 6 dimensions of smart city that must be met by the city or district participating in the "Movement Towards 100 smart cities". These dimensions are smart governance smart governance, smart branding smart regional branding, smart economy smart economic governance, smart living standard of living, smart society smart society, and smart environment smart environmental management [8]. This research will focus on the smart economy dimension. In the implementation of the "Movement Towards 100 smart cities" the Ministry of Communication and Information also conducted an evaluation. However, the evaluation only focused on the progress of smart city implementation carried out by the city/district, not how well the smart city implementation was carried out. Some institutions outside the government such as the Citiasia Center for Smart Nation CCSN have taken measurements related to the achievement of 7 categories, namely smart readiness, smart governance, smart branding, smart economy, smart living, smart society and smart environment to 98 cities and 412 districts in Indonesia [9]. Besides, there is also an assessment by Kompas Research and Development. The assessment is divided into 3 categories, namely economic, social, and environmental [10]. Although evaluations have been carried out from the government and outside the government, up to the time of this study, there were no official measuring standards that contain detailed indicators to measure how well the implementation of smart cities in cities/districts in Indonesia. Indicators are variables that can provide information about a particular condition so that it is possible to measure changes made over time [11]. Indicators play an important role in achieving effective, accurate, efficient, and responsive governance [12]. Besides, indicators are needed in measuring the process and performance of an activity carried out so that it can help achieve goals [13]. So that it takes a set of measuring devices, which include indicators of the achievement of the application of smart economy so that the implementation carried out by the city/district government can be successful as intended. This study aims to identify indicators of smart economy in the implementation of smart cities in Indonesia by conducting a review of the previous smart city research literature. This research is expected to help the government in developing and evaluating smart cities in Indonesia, especially in the smart economy dimension. 2. LITERATURE REVIEW Smart City Smart city is a concept that first appeared in 1998 by IBM [14]. The smart city is understood as an appropriate city development framework to overcome various problems in the city and as a tool to achieve transformation in social, economic, and environmental aspects [15]. The concept of smart city emerged along with the growth of urban society. A 2014 UN study on world urbanization trends showed 54% of the human population lived in urban areas. This means that more than half of the human population lived in urban areas that year [16]. According to Schaffers 2011 [3] smart city has a definition of a city that is able to utilize human resources, social and cultural capital, and modern telecommunications infrastructure to realize sustainable economic stability and high quality of life for people through government-based participation in society. Meanwhile, according to Barrionuevo 2012 [17], smart city means using all available resources in a wise, smart, and coordinated way to develop a livable, integrated, and sustainable city. Smart Economy Smart economy in smart city aims to realize economic ecosystems in regions that are able to meet the challenges of the information age which are competitive, disruptive and demanding to adapt quickly [8]. The target of the smart economy dimension is an ecosystem that supports community economic activities that are aligned with leading and adaptive economic sectors to technological changes in this era and increase the financial iteracy of the community through various programs including cashless society. The target is realized by carrying out three elements in the smart economy, namely the industrial ecosystem, the improvement of people's welfare and the financial transaction ecosystem [8]. The economy of a city can be said to be "smart" if it can gather innovation and productivity to adapt to the market and the needs of workers to improve new business models and reliable global models so that they can compete on a local or global level [18]. Giffinger in his research entitled âSmart Cities Ranking of European medium-sized cities â Final Report 2007â mentions smart economy consists of various aspects such as entrepreneurship, productivity, employment, global competitiveness, the spirit of innovation and economic image/trademark. Giffinger divides smart economy into Advances in Economics, Business and Management Research, volume 175295 6 factors with 23 assessment indicators [19]. Smart economic governance is one of the dimensions that has an important role in the sustainability of activities and the welfare of the people in urban areas [20]. According to Bruneckiene & Sinkiene 2014 [21] smart economy is one of the main keys and becomes a measurement tool for smart city implementation because urban areas have high economic competitiveness characteristics. Indonesiaâs Smart City In Indonesia, smart city initiation has been started since 2017 through the "Movement Towards 100 Smart City" which is a program of several state institutions namely the Ministry of Communication and Information Technology Kemkominfo, the Ministry of Home Affairs, the Ministry of PUPR, Bappenas and the Presidential Staff Office [8]. The Movement Into 100 Smart City Program was officially launched in Makassar City in May 2017. In this program 25 cities/districts were selected as the smart city implementers in the first phase [6]. This movement aims to encourage and guide districts or cities in Indonesia to develop a master plan for the formation of smart cities in their respective regions with the aim of maximizing the potential of available resources and technology. In 2017, 25 cities / districts have been selected that are considered capable of implementing the concept of smart city. The city or district will be guided and accompanied directly by experts. This program targets that in 2019 there will be 100 cities / regencies in Indonesia that have implemented smart city-based development as well as being an example for other cities/regencies [6]. According to the RI Ministry of Communication and Information, there are 6 dimensions of smart city that must be met by the participating cities or regencies "Movement Towards 100 smart cities". These dimensions are smart governance, smart branding, smart economy, smart living, smart society, and smart environment. Each dimension is not independent but rather integrated and influences one another [22]. One example is the initiative to empower MSMEs through a regional e- commerce program smart economy which will be influenced by the level of digital readiness of the community smart society. In the implementation of the "Movement Towards 100 smart cities" the Ministry of Communication and Information also conducted an evaluation. However, the evaluation only focused on the progress of smart city implementation carried out by the city/district, not how well the smart city implementation was carried out. Some institutions outside the government such as the Citiasia Center for Smart Nation CCSN have taken measurements related to the achievement of 7 categories, namely smart readiness, smart governance, smart branding, smart economy, smart living, smart society and smart environment to 98 cities and 412 districts in Indonesia [9]. In addition, there is also an assessment by Kompas Research and Development. The assessment is divided into 3 categories, namely economic, social and environmental [10]. Although evaluations have been carried out from the government and outside the government, up to the time of this study there were no official measuring standards that contain detailed indicators to measure how well the implementation of smart cities in cities/districts in Indonesia. Smart City Measurement in Indonesia Measurement of the implementation of smart city in Indonesia has been carried out several times. One of the institutions that did the measurement was Kompas Research and Development, in which the Bandung Institute of Technology ITB was also involved. The measurement is called IKCI Indonesian Smart Cities Index. A total of 93 cities/districts were ranked. The measurement is based on secondary data collected from several other institutions, one of which is BPS Statistics Indonesia. There are 6 aspects that are used as indicators of assessment namely the environment, society, economy, mobility, government and quality of life. Cities assessed are divided into 4 categories namely metropolitan cities, large cities, medium cities and small cities [23]. Other assessments have also been carried out by the SCCIC Smart City Community & Innovation Center ITB using the GSCF Garuda Smart City Framework framework. GSCF is a framework that focuses on smart city assessment with 3 aspects, namely economic, social and environmental. In addition there are also supporting aspects, namely technology, governance, and people. In total there are 111 assessment indicators with assessment results consisting of 5 levels. The levels from the lowest are adhoc, initiative, scattered, integrative and the highest is smart. Assessment with the GSCF has the aim to find out the extent of the readiness of a city / district in adopting the idea of smart city [24]. Based on some of the measurements that have been made, there are no details regarding the indicators used to assess. This makes it difficult for any local government to initiate smart city implementation. In the implementation of the "Movement Towards 100 Smart City" evaluation is conducted twice a year. Cities / regencies are required to complete data online from each question asked. In the assessment there are indicators in the form of general questions such as; Has the smart economy program been implemented this year? The question is final, so information about what steps must be taken to maximize value in each dimension is still lacking, especially in smart economy. Advances in Economics, Business and Management Research, volume 175296 3. METHODOLOGY Previous studies that included smart city indicators, especially smart economy, have been scattered in several sources. Later these studies will be analyzed to identify which indicators are relevant to the research. The reference used in the context of smart economy in Indonesia is the "100 Smart City Movement Guidebook" where there are 3 sub-dimensions for smart economy, namely industry, welfare, and transaction. The method used in this study is a systematic review. A systematic review aims to identify, interpret, and evaluate the results of the previous article review so that it can be relevant to the research objectives [25]. Besides, a systematic review serves to explore gaps and inconsistencies in the literature so that new points or theories can be found [26]. a. Data Collecting Literature review was conducted on previous research related to smart economy to identify the indicators needed. Previous research was obtained from reputable online publisher database such as and The keywords used including; smart city, smart city indicators, smart economy, smart economy measurement, smart economy indicators, industry, welfare, cashless society, and other keywords related to the smart economy indicator. The indicators taken from previous studies are indicators that relate to Indonesia's smart economy sub- dimension. In addition, article searches are limited to the publication period from 2010 to 2020. The article sought must be relevant to the research topic and must be in English. Articles must be in the form of research articles, not in the form of editorials, chapter books, working paper or opinions. In addition, the article must review economy in the city and its measurement, the article must produce indicators for smart economy, and finally, the indicators generated in the article can be grouped according to the smart sub-dimension in smart cities in Indonesia. More than a thousand articles found in the initial search. Further identification of the articles found in the initial search with inclusion and exclusion criteria. The results identified 30 articles that meet the criteria of inclusion. b. Data Mapping Indicators that have been collected from literature studies are then grouped by sub-dimensions of smart economy consisting of industry, welfare, and transactions [8]. From the Ministry of Communication and Information guidelines there are factors in the sub dimensions shown in the table 1. Table 1 Factors Industrial competitiveness Then synthesis analysis is done based on sub dimensions and existing factors. Aside from the smart economy dimension, the synthesis analysis also includes indicators from the general smart city research, because there are very few articles focusing on smart economy. 4. RESULT AND DISCUSSION Based on the results of the analysis of synthesis 30 literature there are 20 smart economy indicators found. Indicators grouped based on smart economy sub-dimensions. Indicator result show in table 2. Table 2 Smart Economy Indicators In industry sub-dimension, industrial competitiveness aims to measure the ability of the industry to sell products that meet demand requirements such as quantity, quality and price and able to compete with competitors [28], [29], [30]. Meanwhile, industrial integration is related to the ability of industries to interconnect between sectors for the benefit of the country [28]. Export quality product is the ability to produce international quality goods [31], [32], [33]. In the welfare sub-dimensions Gross Domestic Product GDP is related to total value of market from all final goods and services produced [21], [28], [29], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42]. Household income measure the median of all people income in the same house [21], [28], [39], [41], [42], [43], [44]. Enterpreneurship growth is related to the number of businesses registered like micro and medium small businesses [21], [29], [30], [34],[36], [37], [39], [45], [46], [47], [48], [49],[50]. Percentageof unemployment is related to the rate of unemployment citizen in certain area [21], [28], [29], [30], [31], [32], [34],[35], [36], [38], [40], [41], [42], [43], [44], [47], [48], [50], [51]. Easy access to job information includes the level of ease of information Advances in Economics, Business and Management Research, volume 175297 through both print and digital media, job market and promotion [28], [29], [31], [46], [48], [52], Level of innovation and productivity is related to the ability of the community to produce work or businesses that have competitiveness [29], [30], [31], [35], [36], [41], [47], [48],[49], [50], [51]. Worker skill is related to related to the level of productivity to achieve valuable contributions to the company thereby increasing revenue [28], [41], [53]. In transaction sub-dimension âlesh cashâ machine availability measure about the quantity, readiness and human support about the machine ATM [28], [29], [46], [48], [52]. Less cash knowledge measure how good the citizen knowledge about cashless system [28], [41], [53]. Bankable society is is the level of customer eligibility that meets bank requirements [21], [28], [38], [41], [50], [52]. Fintech quality refers to how good the technology is in supporting transactions conducted by citizens [21], [28], [29], [46]. Foreign direct and domestic invesment is related to level of investment from abroad directly to domestic companies [32], [37], [40], [53], [54], [55]. Network availability refers to refers to the availability of IT equipment, internet networks and the ability of the community to operate technology [28], [29], [31], [46], [48], [52]. Finally, market intensity is the frequency of spending through e-commerce, the number of sellers in the market place and product availability [21], [29], [31], [35],[45], [49], [51]. 5. CONCLUSION Smart economy becomes one of the dimensions in Smart City because in the information age as it is today, economic movement is an essential key in the progress of a city. Still, it must also be able to attract community participation from both inside and outside the city, as well as business people and investors, to help accelerate urban development. Smart economy is an innovative and creative practice of the city government. The aim is to realize the economic ecosystem in regions that can meet the challenges of the information age, which are competitive, disruptive, and demanding to adapt quickly. Previous research shows that GDP per capita and unemployment rate are aspects of crucial in smart economy activities. This situation is identified from the number of indicators in the welfare sub- dimension. Besides, all previous studies in this study showed the effect of income on cities' economies. Indicators result is expected to contribute to the development of smart city implementation in Indonesia both in theory and practice. 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A conceptual framework for the alignment of infrastructure assets to citizenrequirements within a Smart Cities framework. Cities, Volume 90, pp. 32-41. [54] Yadav, G., Mangla, S. K., Luthra, S. & Rai, D. P., 2019. Developing a sustainable smart city framework for developing economies An Indian context. Sustainable Cities and Society, Volume 47, pp. 1-14. [55] Mattoni, B., Losilla, J. & Bisegna, F., 2020. Planning Smart cities comparison of two quantitative multicriteria methods applied to real case studies. Sustainable Cities and Society, Volume 60Advances in Economics, Business and Management Research, volume 175300 ResearchGate has not been able to resolve any citations for this publication. Bokolo Anthony the deployment of Information and Communication Technologies ICTs and the needs of data and information sharing within cities, smart city aims to provide value-added services to improve citizens quality of life. But, currently city planners/developers are faced with inadequate contextual information on the dimensions of smart city required to achieve a sustainable society. Therefore, in achieving sustainable society there is need for stakeholders to make strategic decisions on how to implement smart city initiatives. Besides, it is required to specify the smart city dimensions to be adopted in making cities smarter for sustainability attainment. But, only a few methods such as big data, Internet of Things IoT, cloud computing, etc. have been employed to support smart city attainment. Thus, this study integrates Case Based Reasoning CBR as an Artificial Intelligence Technique AI technique to develop a recommender system towards promoting smart city planning. CBR provides suggestions on smart city dimensions to be adopted by city planners/decision makers in making cities smarter and sustainable. Accordingly, survey data was collected from 115 respondents to evaluate the applicability of the implemented CBR recommender system in relation to how the system provides best practice recommendations and retaining of smart city initiatives. Results from descriptive and exploratory factor analysis suggest that the developed system is applicable in supporting smart city adoption. Besides, findings from this study are expected to provide valuable insights for practitioners to develop more practical strategies and for researchers to better understand smart city Quality of life is often touted as the main benefit of building smart cities. This, however, raises questions about the extent to which the public is engaged as part of the âsmartâ development process, particularly given the significant financial investments often required to meaningfully design smart city projects. To better understand approaches to public engagement in the context of smart city development, we draw upon three selected finalists of Infrastructure Canada's Smart City Challenge, which invited municipalities, regional governments, and Indigenous communities to enter a competition where the winning proposals would be awarded federal financial grants to complete their projects. Prizes of $5 million, $10 million, and $50 million were awarded. Specifically, we compare the public engagement experiences of the Mohawk Council of Akwesasne Quebec, the City of Guelph, and the Region of Waterloo. We carried out semiâstructured interviews and reviewed documents in each community to better understand how finalists in each category engaged residents in proposal development. The paper addresses how communities are approaching public engagement in smart city development and the implications of these approaches. We conclude that, despite earnest attempts to publicly engage and become citizenâcentric, municipal governments continue to see civic participation as a topâdown tool. La participation des citoyens au dĂ©veloppement de la ville intelligente les leçons du concours canadien sur les villes intelligentes fr La qualitĂ© de vie est souvent perçue comme Ă©tant le principal avantage de la mise en place des villes intelligentes. Toutefois, ceci soulĂšve des questions sur la nature de la participation des citoyens Ă ce processus, en raison des investissements financiers importants requis pour concevoir les projets de ville intelligente. Pour mieux comprendre les approches Ă l'Ă©gard de la participation dans le contexte du dĂ©veloppement de la ville intelligente, nous avons Ă©tudiĂ© les projets des trois finalistes sĂ©lectionnĂ©s lors du concours sur les villes intelligentes d'Infrastructure Canada, Rappelons que les propositions gagnantes se voyaient accorder des subventions financiĂšres fĂ©dĂ©rales pour rĂ©aliser leurs projets. Des prix de 5, 10 et 50 millions de dollars ont ainsi Ă©tĂ© attribuĂ©s. Cet article Ă©value la façon dont les collectivitĂ©s abordent la participation des citoyens dans le dĂ©veloppement de la ville intelligente et les implications des diffĂ©rentes approches utilisĂ©es. Dans ce contexte, nous comparons les expĂ©riences de participation publique du Conseil mohawk d'Akwesasne, au QuĂ©bec, de la Ville de Guelph et de la rĂ©gion de Waterloo. Nous avons effectuĂ© des entretiens semiâdirectifs et analysĂ© des documents dans chaque collectivitĂ© pour mieux comprendre la façon dont les finalistes ont mobilisĂ© les rĂ©sidents dans le dĂ©veloppement de la proposition. Nos rĂ©sultats montrent que malgrĂ© les tentatives sincĂšres d'impliquer la population et d'adopter une approche centrĂ©e sur les citoyens, les administrations municipales continuent de considĂ©rer la participation civique comme un outil allant du haut vers le This paper aims to investigate theoretically and empirically the interactions between smart economic development SED and competitiveness in Central and Eastern European CEE countries. The main argument to uphold here is that smartness approach has been traditionally more focused on smart urban planning and smart specialization. Design/methodology/approach An evaluation by index, correlation and significance analysis is used to present original empirical evidence from six CEE countries. Findings Smartness approach integration into economic development justifies the identification of SED determinants basics welfare, digitality, environmental, social responsibility and enhancers learning, networking, agility, innovations and knowledge-driven. The interaction between SED and countriesâ competitiveness in CEE countries might be described by two approaches, namely, focus-based several most important basics and enhancers and balance-based equal importance of basics and enhancers. Research limitations/implications The limitations relate to the particular sample of CEE countries and gathering opportunities of statistical data. Practical implications The combination of SED-Index sub-indices and WEF GCI might aid a more accurate ex ante measurement. Despite common global challenges, each country should choose its own combinations for smartness determinants to achieve long-term competitiveness. Social implications The findings are important for fostering smartness approach in economic development for long-term competitiveness. Originality/value This paper contributes to economic development literature by discovering basics and enhancers for SED. By linking well-known term of competitiveness and economic development with a concept of smartness, the new approaches, namely, focus-based and balance-based, to policy making in CEE countries of the methodologies available in the scientific literature for measuring ongoing sustainable efforts at municipal levels are from affluent regions Europe, US, and Canada. Due to context idiosyncrasies, the models available to measure ongoing sustainable efforts in affluent cities are not suitable for cities in Latin America. Issues related to the lack of infrastructure, the absence of primary and sustainable services, and the problems derived from economic, social, and political environment constraints, which are remarkable in some Latin American cities, have been mostly overcome in the western global north cities. A mere reproduction of successful technological solutions adopted by some cities of the Global North does not mean that the results achieved there will be equally obtained in Latin America. Latin American cities are unevenly developed and in need of different and customized solutions. In the absence of a conceptual and widely accepted methodology to evaluate the smartness of a city considering the Latin America context and in accordance to the literature, this research proposes an innovative model and indicators, levelling up the importance of dimensions less remarkable in previous models. Latin American cities must use their own model to measure their ongoing sustainable efforts that consider the idiosyncrasies of the region while not being tempted to use models from affluent regions, avoiding the risk of reiterating a top-bottom approach and thus using an inappropriate tool. Ayyoob SharifiIn the era of digital revolution many cities around the world have invested significantly in the design and implementation of smart city projects and initiatives to provide solutions to the challenges of climate changes and urbanization. At the same time, various efforts have been made to evaluate performance and outcomes of those projects and initiatives. This study provides a critical analysis of 34 selected smart city assessment tools to highlight their strengths and weaknesses and to examine their potential contribution to the evolution of the smart city movement. The selected tools are evaluated against an analysis framework that covers criteria related to comprehensiveness, stakeholder engagement, context sensitivity, strategic alignment, uncertainty management, interlinkages and interoperability, temporal dynamism, flexibility, feasibility, presentation and communication of the results, and action plans. Results indicate that selected tools have achieved limited success in addressing these criteria. In particular, only few tools have addressed criteria related to stakeholder engagement, uncertainty management, interlinkages, and feasibility. The paper argues that assessment tools should capitalize on the advancements in smart solutions and big data analytics to develop better strategies for addressing these criteria. In addition to highlighting weaknesses that need to be addressed in the future, results of this study can be used by interested target groups such as smart city developers, planners, and policy makers to choose tools that best fit their cities are facing many challenges such as pollution, resource consumption, gas emissions and social inequality. Many future city views have been developed to solve these issues such as the Smart City model. In literature several methods have been proposed to plan a Smart city, but, at the best of the authorsâ knowledge, only a few of them have been really applied to the urban context. Most of them are indeed theoretical and qualitative approaches, providing scenarios that have not been applied to real cities/districts. Moreover, a comparison among the results of different quantitative planning models applied to real case studies is still missing. In this framework, the aim of the paper is to propose a new quantitative method based on a previous qualitative model developed by the same authors. The feasibility and validity of the method will be tested through the comparison with an existing AHP model and the application of both approaches on two real case studies, characterized by different territorial levels. Results of the analysis show that both methods are consistent, reliable and do provide similar results despite the differences in the application process. Ayyoob SharifiThere has been a surge of interest over the past several years in the development and implementation of tools, frameworks, and indicator sets hereafter, schemesâ for smart city assessment. This indicates the growing recognition of the significance of assessment schemes to better inform planning and design of sustainable, smart, and resilient cities. Despite this, there has been little examination of the typology and structure of assessment schemes. This gap has been partially addressed in a recent study by Sharifi 2019 that examines strengths and weaknesses of selected assessment schemes in terms of issues such as coverage of different smartness dimensions, stakeholder engagement, context sensitivity, alignment with city vision and strategic needs, uncertainty management, addressing interlinkages and interoperabilities between smart city indicators, dealing with temporal dynamism issues, flexibility, feasibility, presentation and communication of the results, and using assessment results to inform action plans. To build on and complement that study, this paper examines thirty-four schemes to contribute to a better understanding of their typology. It provides general information related to characteristics such as geographic focus, scale of analysis, target audience, and the method of development. In addition, it identifies format, thematic focus areas, and persistent indicators across the schemes and provides detailed information on the major methods and approaches used for assessing city smartness. Results show that diverse approaches have been taken, but there are also some commonalities. Index is the dominant format across the schemes and the most common themes are economy, people, governance, environment, mobility, living, and data. This typology study can be used for multiple purposes; it can serve as a frame of reference for those aiming at evaluating performance of smart cities using appropriate schemes, can be used as a basis for conducting further critical analyses of assessment schemes, and may also guide the development of better-informed schemes in the cities employ information and communication technologies to improve the quality of life for its citizens, the local economy, transport, traffic management, environment, and interaction with government. Due to the relevance of smart cities also referred using other related terms such as Digital City, Information City, Intelligent City, Knowledge-based City, Ubiquitous City, Wired City to various stakeholders and the benefits and challenges associated with its implementation, the concept of smart cities has attracted significant attention from researchers within multiple fields, including information systems. This study provides a valuable synthesis of the relevant literature by analysing and discussing the key findings from existing research on issues related to smart cities from an Information Systems perspective. The research analysed and discussed in this study focuses on number of aspects of smart cities smart mobility, smart living, smart environment, smart citizens, smart government, and smart architecture as well as related technologies and concepts. The discussion also focusses on the alignment of smart cities with the UN sustainable development goals. This comprehensive review offers critical insight to the key underlying research themes within smart cities, highlighting the limitations of current developments and potential future directions. Becky P Y LooWinnie S. M. TangSmart cities are designed to use data to optimize resources, maintain sustainability, and improve peopleâs quality of life. While many urban technologies are employed to make cities âsmart,â one constellation of technologies has been less examined in the academic literatureâdigital maps and the spatial data infrastructure. This paper is an attempt to systematically review the functions and evolution of digital maps and the spatial data infrastructure, with examples from Asia and beyond, in supporting and making smart cities possible. Based on the conceptual framework and empirical case studies, four major research directions of smart mapping are identified to better support smart city initiatives.
Kota Tangerang Selatan (Tangsel) meraih penghargaan Indeks Kota Cerdas Indonesia 2018 yang diberikan Kompas, Rabu (9/1).Penghargaan ini diberikan kepada kota-kota yang dinilai berhasil menerapkan konsep kota cerdas atau smart city. Tangsel masuk dalam Indeks Kota Cerdas Indonesia (IKCI) 2018, dalam kategori kota
âș UtamaâșMengukur Kecerdasan Kota di... KOMPAS/BAHANA PATRIA GUPTA Warga memanfaatkan Koridor Coworking Space di Surabaya, Jawa Timur, Kamis 27/12/2018. Ruang berkumpul gratis tersebut dibangun Pemerintah Kota dengan bertambahnya jumlah penduduk dan meningkatnya sentra perekonomian, wilayah kota kian strategis. Akan tetapi, permasalahan kota pun semakin kompleks. Penerapan prinsip kota cerdas dibutuhkan untuk mengatasi masalah ini, dan tingkat kecerdasan kota dapat diukur secara periodik lewat Indeks Kota pada 2050 sebanyak 70 persen penduduk dunia akan tinggal di perkotaan. Begitu juga di Indonesia. Sesuai data Badan Pusat Statistik BPS, pada 2010, proporsi penduduk yang tinggal di perkotaan mencapai 49,8 persen. Pada 2030, proporsi penduduk yang tinggal di perkotaan mencapai 63,4 persen. Seiring jumlah penduduk di kota merangkak naik, dampak dan masalah bermunculan. Tuntutan kebutuhan masyarakat yang harus dilayani oleh aneka fasilitas publik juga diharapkan berputar lancar agar warga bisa hidup sejahtera tanpa memperlebar kesenjangan. Hal yang tak kalah mendesak adalah menjaga kelestarian dan perbaikan masalah mulai bermunculan di setiap kota. Inisiatif dan penyelesaian inilah yang kemudian diapresiasi Kompas dengan menyusun Indeks Kota Cerdas Indonesia IKCI yang dihasilkan menunjukkan sejauh mana implementasi konsep kota cerdas di tiap-tiap kotaDalam IKCI 2018, hanya 93 dari 98 kota yang diikutkan dalam penyusunan. Lima kota di Daerah Khusus Ibu Kota Jakarta tidak dimasukkan karena status lima kota itu berbeda, yakni berlabel kota ke-93 kota ini dikelompokkan berdasarkan jumlah penduduk. Ada empat kategori kota metropolitan atau kota dengan penduduk minimal 1 juta jiwa; kota besar, daerah berpenduduk lebih dari jiwa hingga kurang dari 1 juta jiwa; kota sedang, daerah berpenghuni lebih dari jiwa hingga jiwa. Terakhir, ada kelompok kota kecil yang berpenduduk paling banyak pilarDalam IKCI 2018, konsep kota cerdas dikaitkan dengan semua usaha memecahkan masalah warga kota dan mewujudkan efisiensi sumber daya, termasuk energi. Aktivitas jasa diharapkan bisa didorong maju untuk melayani kebutuhan ini juga menitikberatkan pada upaya menuju pembangunan berkelanjutan. Di ujung nanti, yang juga merupakan pencapaian paripurna kota cerdas, kualitas hidup warga kota diharapkan luasnya konsep kota cerdas, penyusunan indeks ini berbasiskan Lingkaran Kota Cerdas milik Boyd Cohen. Dalam lingkaran tersebut, kota cerdas ini dibangun dari banyak aspek yang bisa dikelompokkan menjadi enam pilar, yakni lingkungan, mobilitas, pemerintahan, ekonomi, masyarakat, dan kualitas dari enam pilar tersebut kemudian diturunkan. Data sekunder terkait 93 kota dikumpulkan dari BPS dan lembaga lain. Angka dan informasi yang terhimpun diolah dan diboboti dengan pendapat 12 pakar. Pemberian bobot menjadi bagian penting agar metodologi yang diadopsi bisa lebih sesuai dengan kondisi cerdasBobot terbesar dari enam elemen kota cerdas ada pada aspek masyarakat, terutama dalam hal pendidikan, kreativitas, dan yang unggul dalam IKCI 2018 umumnya memiliki inisiatif-inisiatif dalam meningkatkan kualitas hidup masyarakat. Surabaya, misalnya, meme nangi posisi pertama kategori kota ini telah mengembangkan pusat industri digital start up dan penyediaan Koridor Coworking Space untuk mendorong industri kreatif. Selain itu, ada Rumah Bahasa yang bisa melayani warga belajar bahasa asing dengan gratis. Teknologi pun telah membantu memudahkan pendidikan di Ridwan Sutriadi, penulis serial buku kota cerdas dari perspektif perencanaan kota yang juga pengajar di Program Studi Perencanaan Wilayah dan Kota ITB, Indonesia sudah memiliki perencanaan pembangunan dari tingkat daerah hingga yang bersifat sektoral dan spasial inilah yang harus dikuatkan dengan ide kota cerdas, yaitu pembangunan berbasis pengetahuan secara kontinu. RATNA SRI WIDYASTUTI DAN IGNATIUS KRISTANTO H/ LITBANG KOMPAS
JAKARTAKota Tangsel meraih penghargaan Indeks Kota Cerdas Indonesia 2018 yang diberikan Kompas, Rabu (9/1). Penghargaan ini diberikan kepada kota-kota yang dinilai berhasil menerapkan konsep kota cerdas atau smart city. Kota Tangsel masuk dalam Indeks Kota Cerdas Indonesia (IKCI) 2018, dalam kategori kota Metropolitan dengan nilai skor
JAKARTA - Kado indah turut mengisi awal tahun Kota Denpasar. Ibu kota Provinsi Bali yang dipimpin Walikota IB Rai Dharmawijaya Mantra dan Wakil Walikota IGN Jaya Negara ini berhasil menjadi Kota Besar dengan raihan tertinggi Indeks Kota Cerdas Indonesia IKCI Tahun 2018 dengan nilai 61,70. Angka tersebut berhasil mengungguli kota besar lainya yakni Kota Surakarta pada posisi kedua dengan nilai 61,03 dan Kota Malang di posisi ketiga dengan nilai 60,23. Penghargaan yang digagas salah satu media terkemuka di Indonesia ini diterima Walikota Denpasar, IB Rai Dharmawijaya Mantra di Jakarta. Dalam kesempatan tersebut Walikota Rai Mantra turut menjadi narasumber dalam sharing tentang Kota Cerdas bersama kepala daerah lainya. Kepala Dinas Komunikasi, Informatika dan Statistik Kota Denpasar I Dewa Made Agung mengungkapkan bahwa penilaian tersebut dilakukan dengan berdasarkan model Lingkaran Kota Cerdas oleh Boyd Cohen. Dimana terdapat 6 indikator penilaian yakni lingkungan, mobilitas, ekonomi, masyarakat, pemerintahan dan kualitas tahun 2018 sebanyak 93 kota di Indonesia turut andil dalam penyusunan Indeks Kota Cerdas Indonesia ini. Terdapat empat kategori yang menjadi acuan yakni kota metropolitan atau kota dengan penduduk minimal 1 juta jiwa, kota besar, yaitu daerah yang berpenduduk lebih dari 500 ribu jiwa hingga kurang dari 1 juta jiwa, kota sedang, daerah berpenghuni lebih dari 100 ribu jiwa hingga 500 ribu jiwa. Serta kategori kota kecil, atau yang berpenduduk paling banyak 100 ribu Walikota Denpasar, IB Rai Dharmawijaya Mantra mengungkapkan bahwa Pemkot Denpasar terus berupaya melakakukan berbagai inovasi untuk semakin meningkatkan kualitas kota dan masyarakat dari berbagai aspek baik kesehatan, pendidikan, dan kesejahteraan. Berbagai fasilitas dan program pemberdayaan dilakukan seperti revitalisasi sungai dan pasar tradisional, pembinaan UMKM dan wirausaha muda, berbagai festival unjuk kreatifitas masyarakat serta pemberdayaan ODGJ melalui Rumah berdaya."Kedepan kami akan fokus tentang ekonomi kreatif dan orange ekonomi yang mampu mendukung pengembangan sektor pariwisata dan keberlanjutan kebudayaan, serta yang terpenting bagaimana program dan inovasi pemerintah ini dapat dirasakan kemanfaatnya oleh masyarakat menuju kesejahteraan rakyat itu sendiri," jelas Rai lanjut dikatakan, Pemkot Denpasar pun terus berbenah melalui berbagai inovasi untuk memudahkan akses perlayanan publik untuk masyarakat, seperti adanya Mal Pelayanan Publik di Gedung Graha Sewaka Dharma yang memudahkan masyarakat dalam urusan administrasi dan pelayanan lainnya dalam satu gedung. Tidak hanya itu, masyarakat juga dimudahkan untuk menyampaikan keluhan dan pengaduan secara online melalui aplikasi PRO Denpasar, serta berbagai pelayananan yang disediakan secara online sehingga bisa diakses kapan pun dan dimana pun. Sedangkan di bidang lingkungan Pemkot Denpasar sudah mulai menginisiasi untuk pengurangan sampah plastik, bahkan sudah mengeluarkan Perwali dimana mulai 1 Januari 2019 pasar pasar modern dan pasar tradisional dilarang menyediakan kantong plastik. Pada bidang ekonomi, Pemkot Denpasar juga sudah melakukan menerapkan sistem pembayaran non tunai, sementara dibidang mobiltas Denpasar sudah mulai menyediakan angkutan bus sekolah gratis yang dilengkapi berbagai aplikasi yang canggih dan pemasangan sejumlah CCTV di beberapa titik strategis Kota Denpasar.âKami dari Pemkot Denpasar terus mengupayakan adanya berbagai inovasi-inovasi yang dapat kami terapkan untuk kemudahan masyarakat. Tidak hanya fasilitas fisik, namun juga berbagai program pemberdayaan yang nantinya akan berdampak meningkatkan kualitas, kebahagiaan dan kesejahteraan masyarakat Kota Denpasar," ungkap Rai Mantra.akr
Pertumbuhanekonomi pun mencapai angka 5,21 persen pada tahun 2018. Selain itu, Pemerintah Kota Magelang mampu mengendalikan inflasi pada angka 2,65 persen. Prestasi lain yang berhasi diraih Kota Magelang adalah Indeks Daya Saing Daerah tertinggi se-Jateng, Wali kota Pelopor Inovasi Daerah tingkat Jateng 2018, Innovative Government Award
âș UtamaâșKomitmen Sejahterakan Warga... OlehKURNIA YUNITA RAHAYU / NIKOLAUS HARBOWO 5 menit baca JAKARTA, KOMPAS â Pemerintah kota dituntut untuk berkomitmen menyejahterakan warga melalui beragam inovasi dan pengembangan teknologi. Tantangan ke depan semakin kuat seiring dengan terus meningkatnya jumlah masyarakat perkotaan. Diperkirakan, pada 2050 sebanyak 70 persen penduduk dunia pun akan tinggal di Pusat Statistik BPS menyebutkan pada 2010, proporsi penduduk yang tinggal di perkotaan telah mencapai 49,8 persen. Pada 2030, proporsi itu diperkirakan meningkat menjadi 63,4 persen. Sejumlah pemerintah kota menunjukkan inisiatif untuk menghadapi tantangan dan memperbaiki permasalahan yang muncul seiring dengan perkembangan tersebut. Harian Kompas pun mengapresiasinya melalui penghargaan Indeks Kota Cerdas Indonesia IKCI 2018. Ukurannya dilihat dari sejauh mana konsep kota cerdas diimplementasikan di setiap juga Kompas Berikan Penghargaan bagi Kota Cerdas di IndonesiaGeneral Manager Penelitian dan Pengembangan Harian Kompas F Harianto Susanto menjelaskan, indeks tersebut mengadopsi model yang dikembangkan Boyd Cohen, pegiat kota cerdas di tataran internasional. Indeks terdiri dari enam dimensi, yaitu ekonomi, lingkungan, pemerintah, kualitas hidup, mobilitas, dan KOMPAS Putaran Kota Cerdas Boyd Cohen Berbasiskan 6 DimensiâDari keenam dimensi tersebut, penekanan kami ada pada dimensi masyarakat dan kualitas hidup. Smart city harus mampu diarahkan kepada kesejahteraan warga atau bonum commune,â kata Harianto dalam diskusi seusai penganugerahan IKCI 2018 di Gedung Kompas Gramedia, Rabu 9/1/2019. Acara tersebut dihadiri perwakilan setiap kota penerima indeks tersebut, kota dibagi menjadi empat kategori sesuai dengan Undang-Undang Nomor 26 Tahun 2007 tentang Penataan Ruang. Dalam UU itu, dijelaskan bahwa kota metropolitan adalah kota berpenduduk lebih dari 1 juta jiwa. Kota besar memiliki penduduk hingga 1 juta jiwa dan kota sedang berpenduduk jiwa. Selain itu, ada pula kota kecil yang memiliki jumlah penduduk menambahkan, pengukuran indeks melibatkan 12 pakar dari berbagai disiplin ilmu, di antaranya perencanaan kota dan sosiologi. Mereka direkrut untuk menilai atas setiap aspek dimensi dan turunannya, serta penilaian atas kota itu indeks melibatkan 12 pakar dari berbagai disiplin ilmu, di antaranya perencanaan kota dan sosiologiPada kategori Kota Metropolitan, peringkat pertama IKCI 2018 diraih Surabaya dengan skor 67,03. Peringkat selanjutnya diraih Semarang dan Tangerang Selatan dengan skor 63,69 dan 61, pertama IKCI 2018 dalam kategori Kota Besar diraih Denpasar dengan skor 61,7. Surakarta dan Malang menyusul di peringkat kedua dan ketiga pada kategori yang sama dengan skor 61,5 dan 60, kategori Kota Sedang, peringkat satu diduduki Manado dengan skor 59,04. Salatiga dan Yogyakarta menyusul dengan skor 58,99 dan 58, juga Ada 12 Kota Raih Penghargaan Indeks Kota Cerdas Indonesia 2018Padang Panjang meraih skor 55,15 pada kategori Kota Kecil dan meraih peringkat pertama. Sementara itu, Sungai Penuh dan Solok meraih peringkat selanjutnya dengan nilai 52,01 dan 51, sejahteraKOMPAS/RONY ARIYANTO NUGROHO Penghargaan Indeks Kota Cerdas Indonesia 2018 - Walikota Surabaya Tri Rismaharini bersama sejumlah walikota dari kota lain penerima penghargaan Indeks Kota Cerdas Indonesia 2018 tiba di Gedung Unit II Kompas Gramedia, Jakarta, Rabu 9/1/2019. Kota Surabaya meraih nilai tertinggi kategori Kota Metropolitan. Peringkat pertama kategori Kota Besar diraih Kota Denpasar, Kota Sedang diraih Kota Manado, dan Kota Kecil diraih Kota Surabaya Tri Rismaharini mengatakan, meski penghargaan serupa telah didapatkan melalui berbagai ajang, namun hal tersebut bukan tujuan pemerintahannya. Pada IKCI 2015, pihaknya pun menyabet penghargaan untuk kategori lingkungan hidup. Beragam penghargaan justru menjadi pelecut bagi ia dan jajarannya untuk bekerja lebih keras. âBagi kami, tujuan pemerintahan adalah membuat masyarakat sejahtera,â kata daerah yang tengah menjabat di periode kedua itu menambahkan, pemerintahan di Surabaya juga didasarkan pada enam dimensi yang diidentifikasi Boyd Cohen. âKeenam parameter itu saya coba implementasikan untuk meningkatkan grade warga kota Surabaya,â ujar pun mewujudkannya dalam berbagai program, seperti jaminan kesehatan dan pendidikan gratis. Selain itu, ada pula pemberdayaan masyarakat terpinggirkan dengan memberikan lapangan pekerjaan bagi mereka. Dalam dua tahun terakhir masa jabatannya, Risma berkomitmen memenuhi target yang belum tercapai, yaitu membangun jaringan jalan dan membangun ulang semua gedung serupa ditunjukkan Wali Kota Denpasar Ida Bagus Rai Dharmawijaya Mantra. Ia mengandalkan integrasi data warga secara digital untuk memetakan permasalahan dan merumuskan solusi yang tepat. âKami berusaha untuk menyejahterakan warga sejak di dalam kandungan sampai meninggal dunia,â kata ARIYANTO NUGROHO Para Walikota dan perwakilannya yang terpilih menerima tanda penghargaan Indeks Kota Cerdas Indonesia 2018 disambut Pemimpin Redaksi Harian Kompas Ninuk Mardiana Pambudy ketiga dari kanan dan para pimpinan lainnya di Gedung Unit II Kompas Gramedia, Jakarta, Rabu 9/1/2019. Kota Surabaya meraih nilai tertinggi kategori Kota Metropolitan. Peringkat pertama kategori Kota Besar diraih Kota Denpasar, Kota Sedang diraih Kota Manado, dan Kota Kecil diraih itu, tambah Dharmawijaya, kotanya juga tengah mengembangkan konsep integrasi pembangunan kultural dan urban yang berkelanjutan. Berbagai inovasi dilakukan untuk memertahankan Denpasar dengan berbagai warisan budayanya di tengah hiruk pikuk belajarInovasi dan komitmen untuk menyejahterakan warga tidak hanya dilakukan di kota besar dan kota metropolitan. Bagi Wali Kota Padang Panjang Amran, pemerintahan di kota kecil justru membuka peluang besar untuk eksperimentasi program dan membuat Padang Panjang mampu memfasilitasi kaum disabilitas dengan trotoar yang laik karena panjang trotoar yang dibangun relatif lebih pendek ketimbang di kota-kota ARIYANTO NUGROHO Dari kiri, CEO Group of Media Kompas Gramedia Andy Budiman menyerahkan penghargaan Indeks Kota Cerdas Indonesia Kategori Kota Sedang kepada, Wali Kota Manado Godbless Sofcar Vicky Lumentut, Wakil Wali Kota Salatiga Muhammad Haris, dan Kepala Dinas Kominfo Kota Yogyakarta Tri Hastono di Gedung Unit II Kompas Gramedia, Jakarta, Rabu 9/1/2019. Kota Manado menempati peringkat pertama dalam kategori itu disusul, Kota Salatiga dan Kota itu, Walikota Manado Vicky Lumentut mengaku keberhasilan sejumlah kota besar dalam pengembangan inovasi dan teknologi, yakni Surabaya, Jakarta, dan Bandung, menginspirasinya melakukan hal serupa. Oleh karena itu, pada Februari 2017, Manado berani menggagas Cerdas Command Center C3 Manado."Ketiga tempat itu menjadi pembelajaran bagi Kota Manado. Saya satukan inovasi-inovasi dari mereka untuk membangun Kota Manado yang lebih menyejahterakan masyarakatnya dan mempermudah pelayanan," ujar juga menjelaskan, setidaknya ada tiga pilar yang ikut membangun Kota Manado, yakni pemerintah, rohaniwan, dan media. Ketiga pilar itu harus bergerak bersama agar pembangunan tidak hanya dilihat secara fisik, tetapi memiliki nilai, baik dari toleransi hingga inovasi yang telah dilakukan di beberapa kota memunculkan harapan akan pembangunan kota yang lebih baik. Meski demikian, seluruh kota juga harus sigap menghadapi tantangan di setiap tahap perkembangan Program Studi Teknik Perencanaan Wilayah Institut Teknologi Bandung ITB Ridwan Sutriadi mengatakan, dalam 50 tahun terakhir, urbanisasi di Indonesia bertumbuh pesat. Yang perlu diantispasi, lanjut dia, adalah investasi tidak hanya datang di kota-kota yang masuk kategori metropolitan tetapi juga menengah dan kecil."Dari situ, timbul tantangan-tantangan baru sehingga kita dituntut untuk punya perencanaan pembangunan yang matang dengan diiringi pengembangan inovasi teknologi, yang bisa memecahkan persoalan di masyarakat," kata menyebutkan, setidaknya ada tiga tantangan pemerintah ke depan, yakni efisiensi waktu, sistem perencanaan kota, dan Daisy Indira Yasmin, sosiolog dari Universitas Indonesia UI, konsep kota cerdas bukan berarti hanya terpaku pada pengembangan internet atau teknologi, tetapi rohnya adalah rasa kebersamaan sense of community."Secara sosiologis, itu tidak ada kota yang cerdas, yang cerdas adalah manusianya. Karena esensi dari kehidupan kota adalah kehidupan manusianya," ujar itu, menurut Daisy, pembangunan harus dikembalikan ke basis komunitas terkecil, yakni rukun tetangga dan rukun warga RT/RW. Pembangunan itu pun tak hanya meliputi infrastruktur, tetapi juga pendidikan, kesehatan, sosial, dan budaya. Dengan demikian, segala persoalan dapat diatasi secara lebih dini."Coba semua persoalan diselesaikan di RT/RW, maka masalah di perkotaan bisa selesai," katanya.
PEKANBARU-- Sejalan dengan bergulirnya otonomi daerah dan bergantinya kepemimpinan, Kota Pekanbaru terus berkembang pesat dan menjelma menjadi Kota yang luar biasa di Indonesia dalam dekade 10 Tahun terakhir. Dengan posisi wilayah yang sangat strategis, Pekanbaru memiliki potensi yang unik, karena berada tepat di tengah propinsi Riau
Semarang, Idola FM â Sebanyak 12 kota menerima penghargaan Indeks Kota Cerdas Indonesia 2018 yang diberikan harian Kompas Rabu 09/01/2019. Penghargaan diberikan kepada kota yang berupaya menerapkan konsep kota cerdas berdasarkan penilaian dan pembobotan enam dimensi yang dikembangkan Boyd Cohen, pegiat kota cerdas internasional. Keenam dimensi itu mencakup lingkungan cerdas, mobilitas, pemerintahan, ekonomi, masyarakat, dan kualitas hidup. Dimensi masyarakat dengan indikator keterhubungan internet, penetrasi telepon seluler, partisipasi warga, tingkat pendidikan, imigrasi, dan pekerjaan industry kreatif memperoleh pembobotan skor paling tinggi. Penilaian berdasarkan dimensi dan pembobotan nilai yang melibatkan penilaian 12 pakar, menghasilkan 12 kota dengan skor tertinggi yang terbagi dalam 4 kategori Kota Metropolitan Surabaya, Semarang, Tangerang Selatan, Kota Besar Denpasar, Surakarta, Malang, Kota Sedang Manado, Salatiga, Yogyakarta, dan Kota Kecil Padang Panjang, Sungai Penuh, Solok. Lima kota di DKI Jakarta tidak ikut dinilai karena tidak memiliki DPRD kota dan tanpa APBD. Lantas, proses penilaian selama iniâindicator apa saja yang dinilai? Dalam mewujudkan sebagai kota cerdasâapa faktor kuncinya? Hal krusial apa yang masih menjadi kendala utama sehingga sebuah kota masih belum bisa dikatakan kota cerdas? Guna menjawab pertanyaan-pertanyaan itu, Radio Idola Semarang mewawancara Sosiolog dari Universitas Indonesia UI yang juga salah satu juri Indeks Kota Cerdas Indonesia Daisy Indira Yasmin. Heri CS Berikut wawancaranya
Homepage/ Liputan Khusus Awali Tahun 2019, Pemkot Manado Raih Penghargaan Indeks Kota Cerdas Indonesia 2018. Follow Us; 11 January 2019 16 May 2019 by Redaksi TSC. Teropongsulut, â Mengawali tahun 2019 ini, Kota Manado kembali meraih penghargaan sebagai terbaik pertama Kategori Kota Sedang Indeks Kota Cerdas Indonesia (IKCI) tahun 2018.
- Indeks Kota Cerdas Indonesia IKCI 2018, Kota Makassar, Sulawesi Selatan tak ada. Seiring dengan bertambahnya jumlah penduduk dan meningkatnya sentra perekonomian, wilayah kota kian strategis. Akan tetapi, permasalahan kota pun semakin kompleks. Penerapan prinsip kota cerdas dibutuhkan untuk mengatasi masalah ini, dan tingkat kecerdasan kota dapat diukur secara periodik lewat Indeks Kota Cerdas. Diperkirakan pada 2050 sebanyak 70 persen penduduk dunia akan tinggal di perkotaan. Begitu juga di Indonesia. Sesuai data Badan Pusat Statistik BPS, pada 2010, proporsi penduduk yang tinggal di perkotaan mencapai 49,8 persen. Pada 2030, proporsi penduduk yang tinggal di perkotaan mencapai 63,4 persen. Seiring jumlah penduduk di kota merangkak naik, dampak dan masalah bermunculan. Baca Buat Warga Sulsel, Urungkan Niat Rayakan Malam Tahun Baru 2019, Baca Edaran Wakil Gubernur Tuntutan kebutuhan masyarakat yang harus dilayani oleh aneka fasilitas publik mengemuka. Perekonomian juga diharapkan berputar lancar agar warga bisa hidup sejahtera tanpa memperlebar kesenjangan. Hal yang tak kalah mendesak adalah menjaga kelestarian lingkungan. Solusi dan perbaikan masalah mulai bermunculan di setiap kota. Inisiatif dan penyelesaian inilah yang kemudian diapresiasi Kompas dengan menyusun Indeks Kota Cerdas Indonesia IKCI 2018.
TABLOIDBINTANGCOM - Asosiasi Penyelenggara Jasa Internet Indonesia (APJII) menggelar Pemilihan Miss Internet Indonesia 2018. Perhelatan tahun ini digelar APJII bekerja sama dengan Jingga PR dan Media Firm. Tujuannya, mengampanyekan penggunaan internet secara kreatif dan cerdas melalui kontes kecantikan berbasis intelektualitas di bidang teknologi.
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indeks kota cerdas indonesia 2018
