Authors : Wahniar Wahniar, Lawalenna Samang, Tri Harianto and A.R Djamaluddin
Abstract: Road infrastructure plays important role to support regional economic growth, especially, the distribution of goods and services. Due to the importance of the role of the road, good road conditions greatly affect the smoothness and comfort of users as well as accelerating the distribution of goods and services and support regional economic growth. This study aims to formulate a disaster index that can be used in mapping expansive soil vulnerability using the GIS-AHP and fuzzy logic methods and to formulate a model for handling improvements on expansive land national roads with the influence of traffic and flood. The research conducted is a form of utilizing the application of Geographic Information Systems (GIS) in displaying the results of land survey surveys. The data used is the data from the land survey survey by the Takalar District Public Works Department in collaboration with the University of Hasanuddin. The study area is focused on KM. 52+000-76+000. The research sample in the area is soil samples on the Jalan Takalar-Jeneponto, KM. 52+000-76+000. The results showed that the application of ArcGIS is very helpful in decision making and data processing of soil survey results and is able to visualize or display data in 2 dimensions or in 3 dimensions, so that, it can be easier to see conditions on the ground. An intelligent system based on fuzzy logic can make it easier for users to find out the level of expansiveness of the land and the possibility of areas with road damage vulnerability in the specified coverage area. Fuzzy logic-based intelligent systems have high accuracy in determining expansive soil-prone areas, so that, they can be used as a reference to determine the level of road damage vulnerability in certain areas and can immediately take precautions or efforts to avoid disruption in road networks.
Wahniar Wahniar, Lawalenna Samang, Tri Harianto and A.R Djamaluddin, 2020. Study of Geotechnical Disaster Indexfor Expansive Soil of Road Subgrade by using GIS-AHP and Fuzzy Logic. Journal of Engineering and Applied Sciences, 15: 1851-1860.