TY  - JOUR
T1  - Study of Geotechnical Disaster Indexfor Expansive Soil of Road Subgrade by using
GIS-AHP and Fuzzy Logic
AU - Wahniar, Wahniar AU - Samang, Lawalenna AU - Harianto, Tri AU - Djamaluddin, A.R 
JO  - Journal of Engineering and Applied Sciences
VL  - 15
IS  - 7
SP  - 1851
EP  - 1860
PY  - 2020
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2020.1851.1860
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2020.1851.1860
KW  - Road subgrade
KW  -expansive land
KW  -GIS-AHP
KW  -fuzzy logic
KW  -accuracy
AB  - 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.
ER  -