Metode Skoring dan Metode Fuzzy dalam Penentuan Zona Resiko Malaria di Pulau Flores
Abstract: The purpose of this
study is to compare the results of malaria risk zone mapping using scoring
method and fuzzy method against the actual data (API 2014). Variables used in
determining malaria risk area are temperature, densiy of vegetation and land
cover. Satellite image manipulation is performed using remote sensing
technology. As a result, the average of every pixel in the district area for
temperature, density of vegetation, and land cover is obtained. The result is then
processed using the scoring model and fuzzy model. Accuracy tests have been
conducted for 91 districts where the fuzzy model has an accuracy rate of 61.54%
while the scoring model produce an accuracy of 18.68%. The test result shows
that the fuzzy model tends to produce a higher grade than the actual grade.
Fuzzy model produces class “High” but actually “Low” (17.85%), fuzzy model
produces class “Medium” but actually “Low” (2.20%), or fuzzy models produces
class “High” but actually “Medium” (14.29%). This could be caused by a form of
intervention for mosquito nest eradication conducted in some districts, that is
quite effective. Besides, some districts are not participating actively in
detecting the number of malaria cases, hence, the actual data provided by
Puskesmas tends to be lower.
Penulis: Dony M Sihotang
Kode Jurnal: jptlisetrodd160431
