Big Data Analysis on Urban Planning Governance: How is Big Data Used to Plan Urban Management?
- DOI
- 10.2991/978-94-6463-284-2_7How to use a DOI?
- Keywords
- Big Data Analytics; Urban Planning Governance; Urban Management
- Abstract
Big data is a collection of structured and unstructured data in large volumes and stored in one unit from the internet of things (IoT). In the government planning sector, big data is a supportive instrument to find gaps and weaknesses in governance. This study aims to analyze the use of big data in urban governance planning. This research case was conducted on the Magelang city government in conducting urban planning using big data. This research analysis method uses an exploratory qualitative approach with web analytics as a research instrument. The results of this study show that; 1) The Magelang City government uses big data in providing public services to the community. 2) Magelang city big data is integrated into one reporting system and services integrated with the Magelang city government website; 3) Big data could be more optimal in building good governance in the city of Magelang. 4) The quality factor of Human Resources is one of the obstacles to the application of big data in urban governance management in Magelang City.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Eny Boedi Orbawati AU - Retno Dewi Pramodia Ahsani PY - 2023 DA - 2023/11/09 TI - Big Data Analysis on Urban Planning Governance: How is Big Data Used to Plan Urban Management? BT - Proceedings of the 4th Borobudur International Symposium on Science and Technology 2022 (BIS-STE 2022) PB - Atlantis Press SP - 42 EP - 55 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-284-2_7 DO - 10.2991/978-94-6463-284-2_7 ID - Orbawati2023 ER -