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

Abstract

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. Although there are many levels of importance to land use, land use for people forest area must also be prioritized. So, it needs to support people forest area for sustainable development. Modeling is one of the analytical tools to support the success of rural municipal sustainable development according to local characteristics. Therefore, people forest area plan by using spatial modeling plays an important rule before internalized into spatial regulation. This research is conducted to model people forest in the study area. The methodology used is remote sensing-GIS and 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 can help to minimize land-use conflicts of interest. All pairwise comparisons produced are consistent to gain consistent models for multi-criteria decision making. The output of this study is the most potential model to be chosen as a community forest area in a rural municipality. The selected model can be used for the spatial planning of people forest area to support rural municipal sustainable development for the SDGs.



Author Information
Fahrudin Sera'ie, Institute of Technology Bandung, Indonesia
Ketut Wikantika, Institute of Technology Bandung, Indonesia
Albertus Deliar, Institute of Technology Bandung, Indonesia
Anjar Dimara Sakti, Institut Teknologi Bandung, Indonesia
Therissia Hati, Department of Agriculture and Food Crops, Belitung Timur Regency, Indonesia

Paper Information
Conference: ACSEE2020
Stream: Environmental Sustainability & Environmental Management: Land Use & Misuse

This paper is part of the ACSEE2020 Conference Proceedings (View)
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