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Smart City
Published by Universitas Indonesia
ISSN : -     EISSN : 2962780X     DOI : 10.56940/sc
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SMART CITY focuses on four main topics: energy and environment, infrastructure, ICT and mobility, and quality of life. Published biannually, it serves as a comprehensive platform for researchers and practitioners alike to access latest issues, findings, and best practices in the fields of smart cities. SMART CITY is published by CCR Smart City at Universitas Indonesia.
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Articles 4 Documents
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Search results for , issue "Vol. 2, No. 1" : 4 Documents clear
Towards Public Vaccination Data Resilience During Natural Disaster Using Blockchain-Based Decentralized Application Sari, Riri Fitri; Herdiawan, Mokhammad Rizqi; Hamzah, Muhammad; Aljundi, Muhammad; Windiatmaja, Jauzak Hussaini
Smart City Vol. 2, No. 1
Publisher : UI Scholars Hub

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Abstract

This paper presents a platform development plan for a public vaccination decentralized data base based on Blockchain technology. Vaccination is a medical practice that allows a human body to produce a specific antibody as a means of developing a preventive measure and reducing the risk of contracting a particular disease. Systematic vaccination data recording is an utmost important system that is required particularly during the Covid-19 pandemic. The recording mechanism should utilize the state-of-the-art information and communication technology (ICT). For faster vaccination data recording, it is common to use digital technology, making the health care process faster thus decreasing time needed for the vaccination process. Data related to medical records, i.e. vaccination data records, are essential for the continuity of care of the patients. For health professionals, medical records provide an insight on the clinical judgment being exercised at the time. The presence of a complete, up-to-date and accurate medical record including all vaccination received by a patient can make all the difference to the outcome of a treatment. Although today the digital medical records have been implemented in different traditional database, these database is still very much disintegrated and prone to the happening of natural disaster. Access to medical records will become increasingly important as medical treatments become more complicated and the increase of aging population, while disasters will likely continue to occur with regular frequency. In order to tackle the problem, we propose a blockchain-based application with decentralized storage to provide easy tracing of vaccinated people while maintaining the availability and the resilience of the data stored. Blockchain technology is applied to ensure that the data remain available and secure even during natural disaster occurrence. The decentralized application proposed in this paper is built using Hyperledger Fabric, Django, and cURL. The application is deployed in the cloud using Amazon Web Services (AWS).
Transformation Based Digital Technology: The Effectivity of Psychosocial Intervention Method Putra, I Kadek Agus Hendriawan; Ardhaneswari, Pande Putu Narisya; Ariasih, Ni Wayan Devi; Kanaya, I Komang Krisnata
Smart City Vol. 2, No. 1
Publisher : UI Scholars Hub

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Abstract

A multitude of patterns resulting from technological change have an influence on people's mental health. People in the digital era need strong mental health in order to prevent mental disease. Coupled with the pandemic condition that happened around two years ago, it also took a part of the economic chain stability in the public, which is really important for everyday daily life. From the literature studies that have been read, showed that approximately 20% of the Indonesian population has the potential to have a mental disorder. Based on the various mental health problems that occur, the approach using the psychosocial intervention method is a way that can be used as a solution. This study is literature review that Study efficacy of digital transformation method in psychological interview case, and research based on 48 journals from various online sources. The benefit of digital psychosocial intervention is saving cost for intervention time and making it easy for people to get intervention. This research aims to study how to use digital platforms as a means of solving psychosocial transformation. The result of this study found that digital psychosocial interventions have an efficacy that is given via several platforms.
Forecasted Climate Analysis from 2000 to 2100 Using RCP 4.5 and RCP 8.5 Model Scenario as A Hazard Early-Warning System in Prague City, Czech Republic Khoirunisa, Risty
Smart City Vol. 2, No. 1
Publisher : UI Scholars Hub

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Abstract

In the last decades, the increasing number of populations in urban areas is dramatically increased. According to the to the 2018 Revision of World Urbanization Prospects more people live in urban areas, around 55 percent of the world’s population in 2018 and are projected into two thirds of global population in 2050. As the world continues to growth, the lands need to be converted thus deforestation happen. If this continues, the greenhouse gas emission will increase and the climate change will become a threat in the future. Therefore, it become essential to understand how the climate will change in the future through model scenario. The study will asses from three aspects of climate, namely, precipitation, near surface air temperature and maximum wind speed in Prague City, the city that was heavily populated and one of popular destinations for tourism. The objectives were to analyse the future climate based on these three aspects and predict what future hazard which might come n the upcoming years. The outcome can be a basis for early-warning system in urban areas. The methods were employed by using Recipient Concentration Pathways (RCP) scenario of 4.5 as stabilization scenario and 8.5 as pessimistic scenario in Regional Model RCA4. The study found that in several years until 2060, Prague will face more urban flooding based on the model scenario RCP 8.5.
Hey Google: Does Environmental Beliefs and Perceived Privacy Risk Influence Potential User’s Intention to Use a Smart Home System in Indonesia? Elian, Adrian Adhe; Salehudin, Imam
Smart City Vol. 2, No. 1
Publisher : UI Scholars Hub

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Abstract

Automation technology has grown in a rapid pace recently. One of the technology that is growing rapidly right now is the Internet of Things or IoT. IoT consist of many devices, and one of the IoT device that are popular right now is called the smart home device. This smart home device can be use to make the house of the user be smart and can be use to save energy for efficiency for the daily life of the user, such as electricity and water that kan provide a negative impact on the environment if used extensively. This smart home device can help to make the energy expense much more efficient. Therefore, this study aims to see and examine the relation between pro-environmental behavior (environmental beliefs and concern), the moderating variable of materialism, perceived privacy risk and trust that can influenced the intention to use of smart home device. This study is an empirical study with quantitative research method. The respondent used in this study is live in Jabodetabek, age above 18 years old, tech savvy, and know the concept of smart home technology but does not have the smart home device. The sample use in this study are 294 samples. The data collected was tested using and analyzed using SEM with LISREL 8.5. The result of the research shows that environmental concern, perceived usefulness, and trust has a positive and significant effect towards intention to use smart home device. For the relationship between environmental beliefs and environmental concern, it was also has positif and significant effect. The result also shown that perceived privacy risk has a negatif significant effect towards trust of smart home device. The result of this research are important for the development of smart home market in Indonesia.

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