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.
Penulis: Dede Rachmat
Kode Jurnal: jptinformatikadd140180
