TY - JOUR
T1 - The Application of Analytical Hierarchy Process (AHP) to Determine The Construction Project Risk
AU - Wijayaningtyas, Maranatha
AU - Orissa, Yukrista Megania
AU - Munasih,
N1 - Publisher Copyright:
© The Authors, published by EDP Sciences.
PY - 2024/1/17
Y1 - 2024/1/17
N2 - Realisation of implementation also has various risk levels that affect project delays, as a result of which project performance is disrupted and causes losses to costs, time and quality of work. This research location is in a construction project at the vehicle test service office, which aims to identify, analyse, evaluate and mitigate risks using the AHP methods. However, the Risk Breakdown Structures method was first conducted to compile a structured description of project risk identification based on risk categories and subcategories. The collected data were analysed using the AHP method to obtain the dominant risk, then mitigate risk by interviewing experts and validating from various sources so that it becomes the basis for conclusions. The risk of delay in the construction project includes four risk categories and twenty subcategories analysed using the AHP method. The results of processing the data on the dominant risk of uncertainty are the increase in the price of building materials by 10.172%, the rise in fuel prices by 7.835%, and the delay in handing over land by 6.710%. As for risk mitigation, construction providers implement and create strategies to save fuel use and generate work methods regarding the scope and time of project implementation.
AB - Realisation of implementation also has various risk levels that affect project delays, as a result of which project performance is disrupted and causes losses to costs, time and quality of work. This research location is in a construction project at the vehicle test service office, which aims to identify, analyse, evaluate and mitigate risks using the AHP methods. However, the Risk Breakdown Structures method was first conducted to compile a structured description of project risk identification based on risk categories and subcategories. The collected data were analysed using the AHP method to obtain the dominant risk, then mitigate risk by interviewing experts and validating from various sources so that it becomes the basis for conclusions. The risk of delay in the construction project includes four risk categories and twenty subcategories analysed using the AHP method. The results of processing the data on the dominant risk of uncertainty are the increase in the price of building materials by 10.172%, the rise in fuel prices by 7.835%, and the delay in handing over land by 6.710%. As for risk mitigation, construction providers implement and create strategies to save fuel use and generate work methods regarding the scope and time of project implementation.
UR - http://www.scopus.com/inward/record.url?scp=85184621065&partnerID=8YFLogxK
U2 - 10.1051/e3sconf/202447601060
DO - 10.1051/e3sconf/202447601060
M3 - Conference article
AN - SCOPUS:85184621065
SN - 2267-1242
VL - 476
JO - E3S Web of Conferences
JF - E3S Web of Conferences
M1 - 01060
T2 - 4th Aceh International Symposium on Civil Engineering, AISCE 2023
Y2 - 25 October 2023 through 26 October 2023
ER -