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

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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.
Keywords:  Dengue Fever,  Status  Insecurity,  Case-Based  Reasoning,  Sorensen  Coefficient,  TestingForms
Penulis: Dede Rachmat
Kode Jurnal: jptinformatikadd140180

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Jp Teknik Informatika dd 2014