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Trends in Science and Technology   429
                                                   for Sustainable Living


                Lindu  National  Park  area  are  population  density  (X ), distance
                                                            5
                from  settlements  (X ),  distance  from  main  roads  (X ), distance
                                 3                          2
                from  the  capital  city  (X )  and  topographical  conditions  (X ).  The
                                   4                             1
                five  variables,  the  population  density  variable  has  the  highest
                negative regression coefficient of -0.068. The regression equation
                Y  =  -0,094X   −  0,157X   -  0,176X  - 0,083X   -  0,068X   ,  with  a
                          1       2        3        4        5
                significance level of 0.001 less than 0.05 which indicates that these
                five  factors  greatly  influence  the  high  land  change  in  Lore  Lindu
                National  Park.  The  results  of  this  study  explain  that  the  increase
                in population density in Lore Lindu National Park has a significant
                effect on decreasing the area of   forest area. Management policy
                for the National Park area is needed to limit the rate of increase in
                population around Lore Lindu National Park.

                Keywords: forest area, land change, binary logistic regression, lore
                         lindu national park
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