Spatial Modeling for People Forest by Using Remote Sensing-GIS and AHP to Support Rural Municipal Sustainable Development for the SDGs

Abstract

This research conduct to model people forest in the study area. Although there are many levels of importance to land-use, land-use of people forest must also be prioritized. Prioritizing the people forest land-use by using spatial modeling is play an important role in rural municipal sustainable development. People forest or non-state forest in rural municipality able to act as lungs that can provide coolness and ensure the sustainability of the surrounding ecosystem. Modeling is one of decision support tools for the success of people forest in rural municipal area. Therefore, spatial modeling of people forest plays an important role for fostering rural municipal sustainable development agenda. The methodology used is remote sensing Geographic Information System (GIS) and Analytic Hierarchy Process (AHP). Remote sensing combined with GIS is done for spatial and attribute data processing which is used as input data. AHP is used to analyze the level of importance of space to find the most potential models based on the pairwise comparison technique. Pairwise comparison in AHP able to help to minimize land-use conflicts of interest by managing the level of importance every criterion. All pairwise comparisons produced are consistent to gain consistent models for multi-criteria decision making. Three potential models are gaining in this research i.e., model 1 = ± 559,14 ha, model 2 = ± 547,55 ha, and model 2 = ± 543,69 ha. Model 1 is selected as potential model for people forest in the study area. The selected model can be used as an alternative model for the spatial planning of people forest area to support rural municipal sustainable development for the SDGs.