PENILAIAN KINERJA KEBIJAKAN SMART CITY DI KOTA CIREBON DENGAN METODE ANALYTICAL HIERARCHY PROCESS

More than half of the population world’s population lives in urban areas due to an uncontrolled increase in urbanization. Meeting the increased needs of the urban population is a major challenge. The implementation of the smart city concept is one solution approach to addressing these challenges....

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Main Author: Ayu Trisnawati, Dinda
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/51700
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:51700
spelling id-itb.:517002020-09-30T10:01:15ZPENILAIAN KINERJA KEBIJAKAN SMART CITY DI KOTA CIREBON DENGAN METODE ANALYTICAL HIERARCHY PROCESS Ayu Trisnawati, Dinda Indonesia Final Project Smart City, Cirebon City, Performance Assessment, Systematic Literature Review, Analytical Hierarchy Process INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/51700 More than half of the population world’s population lives in urban areas due to an uncontrolled increase in urbanization. Meeting the increased needs of the urban population is a major challenge. The implementation of the smart city concept is one solution approach to addressing these challenges. Smart cities can make cities more efficient in using their resources and utilizing technological innovations. The Indonesian government has initiated Gerakan Menuju 100 Smart City, including Cirebon City. Evaluation of the implementation of the smart city policy has been carried out, but it’s still aggregate and not contextual in each city. The purpose of this study is to assess the performance of Smart City implementation in Cirebon City using the Analytical Hierarchy Process (AHP)method. This study collected primary data using an online questionnaire and secondary data from accessible sources on the internet. A systematic literature review method was conducted to determine the dimensions dan indicators of Smart City assessment in Cirebon City. While the AHP method is used for weighting dimensions and indicators. This study show that there are 6 dimensions selected along with their weight values, such as smart economy (0,084), smart people (0,241), smart governance (0,185), smart living (0,137), smart environment (0,21) and smart mobility (0,143).Based on performance assessment, smart living (97,57%) had the highest score, while smart people received the lowest score (58,09%). In general, the performance of Smart City in Cirebon City has been very good because it managed to reach 85,28%. However, there are dimensions that still need to be improved such as smart people especially with regard to access education, the percentage of people with higher education and creativity of citizens. The results of this study are expected to be an input for the local government of Cirebon City to improve the performance of smart city policy as well as useful for other cities that will or are implementing the policy. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description More than half of the population world’s population lives in urban areas due to an uncontrolled increase in urbanization. Meeting the increased needs of the urban population is a major challenge. The implementation of the smart city concept is one solution approach to addressing these challenges. Smart cities can make cities more efficient in using their resources and utilizing technological innovations. The Indonesian government has initiated Gerakan Menuju 100 Smart City, including Cirebon City. Evaluation of the implementation of the smart city policy has been carried out, but it’s still aggregate and not contextual in each city. The purpose of this study is to assess the performance of Smart City implementation in Cirebon City using the Analytical Hierarchy Process (AHP)method. This study collected primary data using an online questionnaire and secondary data from accessible sources on the internet. A systematic literature review method was conducted to determine the dimensions dan indicators of Smart City assessment in Cirebon City. While the AHP method is used for weighting dimensions and indicators. This study show that there are 6 dimensions selected along with their weight values, such as smart economy (0,084), smart people (0,241), smart governance (0,185), smart living (0,137), smart environment (0,21) and smart mobility (0,143).Based on performance assessment, smart living (97,57%) had the highest score, while smart people received the lowest score (58,09%). In general, the performance of Smart City in Cirebon City has been very good because it managed to reach 85,28%. However, there are dimensions that still need to be improved such as smart people especially with regard to access education, the percentage of people with higher education and creativity of citizens. The results of this study are expected to be an input for the local government of Cirebon City to improve the performance of smart city policy as well as useful for other cities that will or are implementing the policy.
format Final Project
author Ayu Trisnawati, Dinda
spellingShingle Ayu Trisnawati, Dinda
PENILAIAN KINERJA KEBIJAKAN SMART CITY DI KOTA CIREBON DENGAN METODE ANALYTICAL HIERARCHY PROCESS
author_facet Ayu Trisnawati, Dinda
author_sort Ayu Trisnawati, Dinda
title PENILAIAN KINERJA KEBIJAKAN SMART CITY DI KOTA CIREBON DENGAN METODE ANALYTICAL HIERARCHY PROCESS
title_short PENILAIAN KINERJA KEBIJAKAN SMART CITY DI KOTA CIREBON DENGAN METODE ANALYTICAL HIERARCHY PROCESS
title_full PENILAIAN KINERJA KEBIJAKAN SMART CITY DI KOTA CIREBON DENGAN METODE ANALYTICAL HIERARCHY PROCESS
title_fullStr PENILAIAN KINERJA KEBIJAKAN SMART CITY DI KOTA CIREBON DENGAN METODE ANALYTICAL HIERARCHY PROCESS
title_full_unstemmed PENILAIAN KINERJA KEBIJAKAN SMART CITY DI KOTA CIREBON DENGAN METODE ANALYTICAL HIERARCHY PROCESS
title_sort penilaian kinerja kebijakan smart city di kota cirebon dengan metode analytical hierarchy process
url https://digilib.itb.ac.id/gdl/view/51700
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