Geographical Information System For Mapping Of Settlements Land Potential Index

Rapid population growth is a problem for all regions, especially in big cities. Because uncontrolled population growth will result in an increase in the need for housing, the amount of land needed for settlements will also increase. This paper presents spatial data modeling to determine the suitability of settlements on land with the land suitability potential index (LSPI) approach based on geographic information system (GIS) technology. Mapping the suitability of residential land using the LSPI approach is based on multi-criteria parameters of topography/relief, lithology, type of soil, hydrology, and disaster vulnerability. The private dataset from the Department of Regional Development Planning Agency of Jepara district, is the subject of our analysis. The results show that the superiority of the area that will produce a layer of information on mapping land suitability for settlements has a good land suitability classification category value with a land suitability potential index value of 25. The results of this trial state that this method can produce settlement land suitability maps, which are classified into three types, namely non-suitable, low-suitable, and suitable.