TY  - JOUR
T1  - Fuzzy Logic Clustering Modeling of Surface Soil Parameters Based on
Georesistivity Profiles and Geology Techniques
AU - , Antarissubhi AU - Samang, Lawalenna AU - Harianto, Tri AU - , Indrabayu 
JO  - Journal of Engineering and Applied Sciences
VL  - 15
IS  - 6
SP  - 1552
EP  - 1557
PY  - 2020
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2020.1552.1557
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2020.1552.1557
KW  - Georesistivity
KW  -geology techniques
KW  -fuzzy c-means
KW  -geological drilling
KW  -algorithms
AB  - This research generally aims to develop a model that can simplify and streamline the investigation
of surface soil work in particular knowing the characteristics of soil layers based on electrical resistivity.
Problems that occur many construction failures are caused by exploitation of land use that exceeds the carrying
capacity of the land, for example, the use of land originating from peat, swamps or lakes which often occurs
land suddenly. Therefore, to achieve accurate soil data, a good soil investigation is needed and a georesistivity
method can interpret soil properties and determine stratigraphy and characteristics of soil layers. The qualitative
and quantitative research methods used consist of field research based on soil resistivity values and laboratory
investigations that use conventional soil investigations as a comparison and as a reference to get detailed results
on the soil layer while the results obtained from measurements on the georesistivity profile to a depth of 15 m.
Testing the results of engineering geological drilling to a depth of 15 m, obtained 4 types of soil CH, CL, MH
and ML. The results are in clusters using artificial intelligence algorithms and formed into 4 clusters which in
total have 47 members.
ER  -