TY - JOUR
T1 - Makassar smart city operation center priority optimization using fuzzy multi-criteria decision-making
AU - Kurniawan, Fachrul
AU - Wibawa, Aji Prasetya
AU - Munir,
AU - Nugroho, Supeno Mardi Susiki
AU - Hariadi, Mochamad
N1 - Publisher Copyright:
© 2018, Institute of Advanced Engineering and Science. All rights reserved.
PY - 2017/9
Y1 - 2017/9
N2 - The development of smart city operation room of Makassar possesses several equally important stages which are equally important. There are four stages of development that are 1) data center construction, 2) camera distribution around the city, 3) wall room monitoring construction, and 4) smart operation room architecture construction. Since the time and cost are limited, it forces the project manager to be able to manage and control the priority in conducting the project. There are several usable criteria to determine the priority in conducting the project development through criteria consideration of the entire project stages. Project priority optimization system aims at making every single project activity effective including its evaluation process. It also exposes a ranking illustration of foremost project priority by providing cost preference of the entire development stages. Fuzzy Multi-Criteria Decision-Making is used to illustrate the project priority rank and further to determine the alternative optimal option in conducting the project. This enforces particular project to allocate its cost to the project with a higher level of cost necessity. The company, therefore, enables to make effective funding for the entire project based on the level of importance and time achievement and subsequently it promotes accessible technology integration. The conducted experiment suggests that the first construction of the project is data center construction followed by wall room construction and CCTV distribution. This is relevant with optimization value result of data center 0,405 higher than A2 0,42 for wall room construction and A3 CCTV distribution 0,24.
AB - The development of smart city operation room of Makassar possesses several equally important stages which are equally important. There are four stages of development that are 1) data center construction, 2) camera distribution around the city, 3) wall room monitoring construction, and 4) smart operation room architecture construction. Since the time and cost are limited, it forces the project manager to be able to manage and control the priority in conducting the project. There are several usable criteria to determine the priority in conducting the project development through criteria consideration of the entire project stages. Project priority optimization system aims at making every single project activity effective including its evaluation process. It also exposes a ranking illustration of foremost project priority by providing cost preference of the entire development stages. Fuzzy Multi-Criteria Decision-Making is used to illustrate the project priority rank and further to determine the alternative optimal option in conducting the project. This enforces particular project to allocate its cost to the project with a higher level of cost necessity. The company, therefore, enables to make effective funding for the entire project based on the level of importance and time achievement and subsequently it promotes accessible technology integration. The conducted experiment suggests that the first construction of the project is data center construction followed by wall room construction and CCTV distribution. This is relevant with optimization value result of data center 0,405 higher than A2 0,42 for wall room construction and A3 CCTV distribution 0,24.
KW - Fuzzy MCDM
KW - Main priority
KW - Project optimization
KW - Smart operation room
UR - http://www.scopus.com/inward/record.url?scp=85044869349&partnerID=8YFLogxK
U2 - 10.11591/eecsi.4.1010
DO - 10.11591/eecsi.4.1010
M3 - Article
AN - SCOPUS:85044869349
SN - 2407-439X
VL - 4
SP - 289
EP - 293
JO - International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
JF - International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
ER -