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Corresponding Author
Thein Oak Kyaw Zaw
Institutions
Multimedia University, Jalan Multimedia 63100 Cyberjaya, Selangor, Malaysia, Faculty of Economics and Business, Telkom University, Bandung 40257, Indonesia
Abstract
There exists substantial efforts to actualize a so-called ‘smart city- throughout the world. The journey towards realizing it leads back to one path in which many learned people argue that it is, “what is the best solution for a smart city”. The solution is to embrace Internet of Things (IoT) in every aspects of the city as much as possible by making all devices connected to at least a network that communicates with one another with minimal human interference. The debates and forums on IoT as a solution has been ongoing and not many has come up with an answer that differs from the mainstream. It has been proven through research and applications that IoT is the enabler to solve many problems faced by a city such as parking woes, traffic congestion, pollution and so on. However, with IoT as a solution, does it really make a city to be considered as smart? This research intends to find out whether IoT is a viable solution for a smart cities or there exists other potential options that is better. This study was based on a qualitative approach that began with 1) a survey of literature of white papers as well as technical forums, 2) preliminary results highlighting that IoT is not a viable solution and 3) with IoT alone cities are deemed to be partially smart. Lastly, our findings indicate that we require proper algorithms and analytics that would be inclusive of these two crucial components i.e. being autonomous and self-learning in the Business architecture layer in order to realize a truly Smart City status.
Keywords
IoT, AI and Smart City
Topic
Smart City
Corresponding Author
Andry Redima Kurniawan
Institutions
(a) Student of Magister Management, Telkom University
(b) Lecture of Magister Management, Telkom University
Abstract
Economic and social development of a country can be seen from the development of the city. The city is often chosen as a place of residence by some people. With increasing urbanization, it is necessary to manage the city to support economic competitiveness, improve social cohesion, preserve the environment, and improve the quality of life of its people. Smart city, with one of its dimensions, smart technology comes as a solution. This research is based on previous research by Indrawati, Setiawan, and Amani (2017) regarding indicators and variables on smart technology in Bandung. The aim is to find out and produce the index value of smart technology readiness in Bandung. This research is a mixed method with the aim of explorative and descriptive and the type of ethnographic investigation. Data collection is done by literature studies, interviews, observations and surveys. The source of this research is based on the quadruple helix method which consists of government, business players, researchers and experts and the user. To produce an index value for the application of smart technology in the city of Bandung, data on implementation in Bandung were presented to be compared with the implementation of smart technology in Singapore as a data best practice. Based on the results of data processing, the index value of the application of smart technology in Bandung is 72.89. This shows that the level of readiness of smart technology in Bandung City is quite good and satisfying, but in some cases, there are still shortcomings. The highest indicator is in "Number of Formal Education and the Lowest Indicator is in" Archiving Log " Based on the results of the study, the lowest value is found in the Security Information variable, so the government must begin to care about the security of data in smart applications in the City of Bandung.
Keywords
Smart City, Smart Technology, Readiness Index
Topic
Smart City
Corresponding Author
Rio Aurachman
Institutions
a) Telkom University
Jalan Telekomunikasi Nomor 1, Bandung 40257
*rioaurachman[at]telkomuniversity.ac.id
Abstract
In determining the number of optimal server in highway, a method is needed to automatically provides information when the queue is predicted will be too long. The approach taken is optimization mathematical modeling by modifying the queue formulation that has been developed. The Mathematical modeling process use methodology proposed by Daellenbach, starting from system modeling and followed with mathematical modeling along with verification and validation. We find mathematical models that can optimize the allocation server, adapting to the flow of vehicle. The focus of the findings is on the M/M/C queue system (The number of arrivals per unit memoryless time with Poisson distribution, memoryless service time with binomial distribution, and more than one servers).
Keywords
Queue, M/M/C, Mathematical Model, Highway, Optimization
Topic
Smart City
Corresponding Author
Indrawati Indrawati
Institutions
1Faculty of Economics and Business, Telkom University, Bandung 40257, Indonesia
2 Multimedia University, Jalan Multimedia 63100 Cyberjaya, Selangor, Malaysia
aIndrawati[at]telkomuniveristy.ac.id, bcharysa[at]student.telkomuniversity.ac.id,
c saravanan.muthaiyah[at]mmu.edu.my, ddodie.tricahyono[at]telkomuniversity.ac.id
Abstract
Energy has a very important role in peoples lives because it is an important parameter for development and economic growth. In cities of Indonesia, the energy issue is becoming a very important issue, given the high levels of energy consumption and use of fossil fuels, also impact of using fossil fuel based energy on the environment, such as pollution. The concept of green energy is expected to be a solution to the problems also the creation of green environment, and sustainability in energy use. Green energy concept is considered able to handle issues around energy and the environment faced by the cities. Until now, there is still no standard variables and indicators that can be used to measure green energy, especially in urban areas. This research aims to identify variables and indicators for measuring green energy in a city, especially in the context of Bandung. This research uses an exploratory qualitative method. The steps taken to answer the research objectives are, first, by conducting literature studies, then interviewing 16 resource people with quadruple helix concepts from various backgrounds such as business people, government, experts / researchers and civil society. Based on literature studies, this research found 6 variables and 19 indicators to measure green energy. From the results of interviews and analytical sentiments there were 2 indicators that had average value of less than 60%, hence these indicators were not used in this research. This research also found 3 new indicators with an average value of more than 60%, thus, this research proposes a model for measuring green energy with 6 variables and 20 indicators. This research proposed a model containing green energy variables and indicators as part of the green city for the context of Bandung. However, this research has not tested the model and used it to measure green energy index. Further research is recommended to test and measure the green energy index using the model founded in this research. The variables and indicators can also be used as a reference to measure green energy in other cities in Indonesia.
Keywords
City Sustainability, Renewable Energy, Green City, Green Energy, Environmental Issues
Topic
Smart City
Corresponding Author
Indrawati Indrawati
Institutions
1Faculty of Economics and Business, Telkom University, Bandung 40257, Indonesia
2 Multimedia University, Jalan Multimedia 63100 Cyberjaya, Selangor, Malaysia
aIndrawati[at]telkomuniveristy.ac.id, bfendi.andriawan[at]student.telkomuniversity.ac.id,
c saravanan.muthaiyah[at]mmu.edu.my, ddodie.tricahyono[at]telkomuniversity.ac.id
Abstract
The influence of urbanization is population density in a city, with uncontrolled density will cause several problems including garbage problems. The waste problem must be resolved immediately by starting waste management with the concept of Reduce, Reuse, and Recycle (3R) which is commonly applied in a city that uses the green city concept. One of the dimensions of green city is green waste containing the determination of waste reduction targets, strategies to improve the quality and coverage of cleaning services. The purpose of this research is to find out variables and indicators to measure the level of green waste for the contact of Bandung. The method used in this research is an exploratory qualitative method. The steps taken to answer the research objectives are conducting literature studies and interviews with resource persons by applying the quadruple helix concept, namely Government, Academic, Business Player and Citizens with a total of 16 people. Based on the literature study, this research found 5 variables and 21 indicators to measure green waste. The variables and indicators are confirmed to the resource persons and the result shows there are 3 indicators that have an average value of less than 60%, hence, the indicators should be eliminated for this study. The confirmation process also found 4 new indicators with an average value of 87.5%. Thus, this research proposes a model for measuring green waste with 5 variables and 22 indicators. The five variables are environment control, financial sustainability, operational management, public participation and awareness and institutional and policy framework. Further research is recommended to test and measure the green waste index of Bandung by using the model produced in this research. The variables and indicators can also be used as reference to measure green waste in other cities in Indonesia.
Keywords
Sustainability, Solid Waste Management, Green City, Green waste, Reduce Reuse, Recycle
Topic
Smart City
Corresponding Author
Lilian Anthonysamy
Institutions
(a) Faculty of Management,
Multimedia University, Cyberjaya,
63100, Cyberjaya, Selangor,
Malaysia
b) and (c) Faculty of Creative Multimedia,
Multimedia University, Cyberjaya,
63100, Cyberjaya, Selangor,
Malaysia
Abstract
Smart learning is an important part of smart city construction. However, limited studies are found on smart learning in smart cities. Relying on smart devices and intelligent technologies is not sufficient. A smart city must develop 21st century skills to promote quality learning. Self-regulation is evidently one of the vital 21st century competencies as it helps individuals master their own learning process. The purpose of this paper is to provide a descriptive analysis on the use of self-regulated learning strategies (SRLS) in online learning (E.g time management, critical thinking, self-monitoring, task value beliefs, etc..). A total of 107 young adults were purposively selected to examine their use of SRLS in online learning through a quantitative research design. Results revealed that level of SRLS among students are found to be generally in the middle range. It was also identified that, female students uses more learning strategies than male students. Since respondents are average and high achievers, results show high achievers use more SRLS. This paper is able to provide a clearer picture about conducting future studies on smart learning in a smart city which is a key contemporary learning method
Keywords
self-regulated learning strategies , online learning, smart city, smart learning, 21st century skill
Topic
Smart City
Corresponding Author
Donny Trihanondo
Institutions
Department of Creative Arts, Telkom University
Abstract
This paper raises a concept of future urban planning that still maintains the local culture or culture of the archipelago. This article is the result of research conducted on a traditional village in the northern Bandung area. The method used in this study is a qualitative method that uses a visual cultural transformation theory approach. The results of this study are a new concept regarding smart city without losing the cultural characteristics of the archipelago. This research is still in its early stages, and requires more discussion and application in more detailed and specific case studies.
Keywords
Landscape Architectural Design, Smart City, Social Change
Topic
Smart City
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