Risk Management for Analytic Closed Circuit Television based on Internet of Thingsin Semarang City
Abstract
Abstract. Successful implementation of a program is the goal of program design. However, currently, many programs fail to be implemented due to the failure of efforts to prevent the occurrence of failure factors. Especially in the era of digital governance such as today, the planning of various smart city programs has a large potential risk of implementation failure. The Semarang City of IoT CCTV program, for example, the implementation of the use of analytics-based CCTV requires long and careful preparation. Not only management preparation but risk management is also needed for the program. This research aims to analyze the map of potential risks in the Semarang City CCTV of IoT program along with analyzing how the risk management of the program. This research is based on qualitative research with primary and secondary data collection techniques. Primary data collection by interviewing related informants purposively, then the data is analyzed based on qualitative analysis. The findings of this research are that the highest level of risk occurs in the shortage of human resources and CCTV operators because there are no human resources who are data analytic experts and Artificial Intelligence experts. Other high risks are database errors / down; CCTV devices using old technology; long loading dashboards; and no Fiber Optic connection in internet management.
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Alam, E., & Ray-Bennett, N. S. (2021). Disaster risk governance for district-level landslide risk management in Bangladesh. International Journal of Disaster Risk Reduction, 59, 102220. https://doi.org/10.1016/j.ijdrr.2021.102220
Alcaide-Muñoz, L., Rodríguez-Bolívar, M. P., Cobo, M. J., & Herrera-Viedma, E. (2017). Analysing the scientific evolution of e-Government using a science mapping approach. Gov. Inf. Q, 34, 545–555.
Bellini, P., Nesi, P., & Pantaleo, G. (2022). IoT-Enabled Smart Cities: A Review of Concepts, Frameworks and Key Technologies. Applied Sciences, 12(3), 1607. https://doi.org/10.3390/app12031607
Bokhari, S. A. A., & Myeong, S. (2022). Use of Artificial Intelligence in Smart Cities for Smart Decision-Making: A Social Innovation Perspective. Sustainability, 14(2), 620. https://doi.org/10.3390/su14020620
Caragliu, A., Del Bo, C., & Nijkamp, P. (2011). Smart cities in Europe. J. Urban Techno, 18, 65–82.
Cedergren, A., Hassel, H., & Tehler, H. (2022). Tracking the implementation of a risk management process in a public sector organisation – A longitudinal study. International Journal of Disaster Risk Reduction, 81, 103257. https://doi.org/10.1016/j.ijdrr.2022.103257
Cienfuegos Spikin, I. (2013). Risk Management theory: The integrated perspective and its application in the public sector. Revista Estado, Gobierno y Gestión Pública, 0(21). https://doi.org/10.5354/0717-6759.2013.29402
Cortés-Cediel, M. E., Cantador, I., & Bolívar, M. P. R. (2021). Analyzing citizen participation and engagement in European smart cities. Soc. Sci. Comput. Rev., 39, 592–626.
Creswell, J. W., & Poth, C. N. (2018). Qualitative Inquiry and Research Design Choosing Among Five Approaches (4th Edition ed.). Sage Publishing.
Fernandes, G., Domingues, J., Tereso, A., & Pinto, E. (2021). A Stakeholders’ Perspective on Risk Management for Collaborative University-Industry R&D Programs. Procedia Computer Science, 181, 110–118. https://doi.org/10.1016/j.procs.2021.01.110
Ministry of Finance. (2019). Risk Management Guideline for the B.C. Public Sector. Province of British Columbia.
Oduoza, C. F. (2020). Framework for Sustainable Risk Management in the Manufacturing Sector. Procedia Manufacturing, 51, 1290–1297. https://doi.org/10.1016/j.promfg.2020.10.180
Project Management Institute. (2017). A Guide to Project Management Body of Knowledge PMBoK Guide (6th ed.). PMI.
Purnomo, M. H. P. F. (2016). Smart City Indicators: A Systematic Literature Review. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(3), 161–164.
Putri, N. E., Helmi, H., Noer, M., & Yossyafra, Y. (2021). Risk Analysis and Potential Benefits of Infrastructure Development. MIMBAR : Jurnal Sosial Dan Pembangunan, 37(2). https://doi.org/10.29313/mimbar.v37i2.6811
Rivera, J., Ceesay, A. A., & Sillah, A. (2020). Challenges to disaster risk management in The Gambia: A preliminary investigation of the disaster management system’s structure. Progress in Disaster Science, 6, 100075. https://doi.org/10.1016/j.pdisas.2020.100075
Simonofski, A., Asensio, E. S., & Wautelet, Y. (2019). Citizen participation in the design of smart cities: Methods and management framework. Smart Cities Issues Chall. Mapp. Polit. Soc. Econ. Risks Threat., 1, 49–62.
Sugiyono. (2016). Metode Penelitian Kuantitatif, Kualitatif, R&D. CV. Alfabeta.
Szarek-Iwaniuk, P., & Senetra, A. (2020). Access to ICT in Poland and the co-creation of urban space in the process of modern social participation in a smart city—A case study. Sustainability, 12, 2136.
Thomas, V., Wang, D., Mullagh, L., & Dunn, N. (2016). Where’s Wally? In search of citizen perspectives on the smart city. Sustainability, 8, 207.
Wawer, M., Grzesiuk, K., & Jegorow, D. (2022). Smart Mobility in a Smart City in the Context of Generation Z Sustainability, Use of ICT, and Participation. Energies, 15(13), 4651. https://doi.org/10.3390/en15134651
Zainal, Z., Rambey, R. R., & Rahman, K. (2021). Governance of Household Waste Management in Pekanbaru City. MIMBAR : Jurnal Sosial Dan Pembangunan, 37(2). https://doi.org/10.29313/mimbar.v37i2.7947.
DOI: https://doi.org/10.29313/mimbar.v0i0.10383
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