Optimizing Green Open Space (GOS) Management for Spatial Utilization in Palu City in Terms of Ecological, Economic, Social and Policy Aspect

Abstract

Tha management of green open space (GOS) has lasted for long time period in Palu city but the fact is the results have not been as expected. The research  aimed  is to determine the level of knowledge and understanding; appropriate socialization  method; partial effect and correlations between (X) variable on (Y) in (GOS) management; appropriate policies and strategies in order to strengthen institution to manage GOS utilization in Palu city and to compose a simulation of dynamical system. This research was conducted in Palu with the number of its sample was 400 respondents. The result shows that that the level of public knowledge about GOS reaches  68.75% or 275 respondents with the level of understanding is  in nescience category and the appropriate socialization methods  are  counseling and Society Group Formation which concerns  on spatial and provision complaint unit. Multiple linear analysis method is  obtained from 12 independent variable and dependent variables, linked simultaneously and clear partial effect, with poor correlation R² 51%, Stepwise method obtains  seven independent variables in its model; GOS index Palu city overall  is optimal with point 3.962 (IGOS_city3, 962> 1),the GOS balance index private in Palu  has not been able to perform optimally (GOS_city Private<1); There  is causality (causal loops) based on space by area and population growth with variables (X) in term of ecological, economic, social, and policy on variable (Y); The strategies and policies of GOS Management to strengthening the institution are in quadrant 1, namely, the relationship the strength and its possibility with the value is 1, 51 and 1, 44; 1, 72 and 1, 87.

Keywords: Likert Scale Analysis, Multiple Regression Analysis, Research Variables, hypotheses, GOS index.