PENERAPAN ALGORITMA C4.5 TERHADAP DIAGNOSA PENYAKIT DEMAM TIFOID BERBASIS MOBILE
Abstract
The use of gadgets in today is not something new anymore. Gadgets can allow a person to perform activities of
information. This is used to create mobile-based applications in the use of artificial intelligence in the world of
health. Here is a tool used eclips and database use sqlite3 with android OS usage targets. Typhoid is an acute
systemic disease caused by salmonella typhimurium. In the world, the incidence of typhoid fever is estimated to
reach 16 million cases annually. More than 600,000 people die every year due to this disease. Based on the data
processing of typhoid fever Waluran Health Centers using the algorithm C4.5 obtained 15 rule/decision trees
were applied in the development of mobile-based applications as the basis for the decision. Utilization data
mining in this application is a manifestation of artificial intelligence in mobile-based information system in
particular. The same practice will help facilitate the gadget users to diagnose the disease at an early stage of
typhoid fever using existing symptoms.
information. This is used to create mobile-based applications in the use of artificial intelligence in the world of
health. Here is a tool used eclips and database use sqlite3 with android OS usage targets. Typhoid is an acute
systemic disease caused by salmonella typhimurium. In the world, the incidence of typhoid fever is estimated to
reach 16 million cases annually. More than 600,000 people die every year due to this disease. Based on the data
processing of typhoid fever Waluran Health Centers using the algorithm C4.5 obtained 15 rule/decision trees
were applied in the development of mobile-based applications as the basis for the decision. Utilization data
mining in this application is a manifestation of artificial intelligence in mobile-based information system in
particular. The same practice will help facilitate the gadget users to diagnose the disease at an early stage of
typhoid fever using existing symptoms.
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PDF (Bahasa Indonesia)DOI: https://doi.org/10.31294/swabumi.v3i1.1006
INDEXING
P-ISSN : 2355-990X E-ISSN: 2549-5178