IMPLEMENTASI METODE SORENSEN COEFFICIENT DALAM MENENTUKAN DAERAH BERPOTENSI RAWAN PENYAKIT DEMAM BERDARAH (STUDI KASUS : KOTA PONTIANAK)

Abstract

Pontianak city is one of the areas in Indonesia which  is prone and endemic to dengue fever. Since 2002  until the year 2013, dengue fever has become a  remarkable incident  in the city for several times.  Various  prevention efforts have been made, but the  number of cases of dengue fever is still quite high,  so the appropriate handling required by knowing the  area that has the potential of dengue disease-prone  in months to come. Thus the proper prevention  efforts can be planned by the Government or the  relevant parties to support the efforts of disease  prevention of dengue. Determination of areas  potentially vulnerable to dengue fever is usually  done by the health service area of prevention and  mitigation of disease, manually based on frequency  of occurrence data of dengue fever that occurred in  previous years. Therefore, this research aims to  produce a system that can determine areas of  potentially dengue fever with features (indicators)  that have the specified in the amount of  precipitation, air temperature, air humidity, the  number of health facilities, overcrowding and the  frequency of occurrence of dengue. The system was  built in determining areas of potentially dengue  fever using case-based reasoning or called by Case  Base Reasoning (CBR). To generate an output in the  form of insecurity level status using the similarity  value, the method used is Sorensen Coefficient  Method. The output of this system is the status of  insecurity, which is no dengue fever prone, pro ne,  and very prone. This system can create data features  (indicators) and the data cases of dengue fever.