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Increasing encroachment, reduced biodiversity and increased conflicts in the forest region have become a national problem. The main cause is still contained forest areas that do not have regional boundaries, no forest managers at the site level and the lack of planning as referral activity. The research objective was to analyze the predictive potential conflicts in the forest region which is based on the biophysical aspects, accessibility and prediction of the potential for forest disturbance. The research method is applied research. This research uses descriptive quantitative and qualitative research. This research was conducted for 0.5 years at the KPH Model Tanah Laut, South Kalimantan Province. The variables measured were: a. biophysical (land cover, class slope, forest distance from settlements, landslides class) and the road network, b. prediction of potential disturbances in the forest. Sample Technique is stratified sampling technique with Random Start and purposive sampling. Data collection methods are literature studies, interviews, observations, field surveys and measurements. Methods of data analysis are 'Overlay Analysis', 'NDVI analysis ‘,’ Buffer analyses, and 'AHP Spatial Analysis'
Based on the spatial AHP, in areas with a distance of 500m from the edge of the boundary and the road network, the potential for a very conflicted area reached 5.6%, 9.2% conflict, 22.9% quite conflicted, 16.1% somewhat conflicting. Total area of potential conflict reaches 53.8%
The results of in-depth interview about the potential for conflict are the supporting information on the results of AHP analysis. Based on the results of in-depth interviews with public figures around the forest, the potential disruption to forest region reached an average of 45.0% with the details of the potential for interference by historical land use reached 46.4%, the history of forest resource utilization reached 46.4% and the potential history land conflicts in forest areas reached 47.6%.
Keywords: Forest Planning, AHP Spatial, Conflict in Region Forest |
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