Breast cancer is the second leading cause of death after cervical cancer from the many deaths caused by cancer in women. Cancer treatment therapy is generally classified as expensive and has serious side effects. Propolis and Curcuma zanthorrhiza (Curcuma zanthorrhiza) have been widely tested by research institutions and have the potential to be anticancer. This study aimed to evaluate the synergy between anticancer activity of a combination of propolis and Curcuma zanthorrhiza extract against MCF-7 cancer cells using Response Surface Methodology (RSM). The test parameters observed were % inhibition of combination of propolis and Curcuma zanthorrhiza extract against MCF-7 cancer cells. Tests were carried out with 13 treatment combinations of extracts of propolis and Curcuma zanthorrhiza, negative control (cell growth media MCF-7) and positive control (doxorubicin) carried out in 3 replications in each treatment. The results showed that the LC50 and IC50 values obtained were in a higher concentration range compared to the LC50 and IC50 values of each extract.
Purpose of this study is to test the accuracy of ear, nose and throat (ENT) diseases with an expert system. The expert system is designed to help people make early detection of illnesses so that the possibility of delay in treatment can be minimized. The method used is Naive Bayes with Forward Chaining Inference for 14 types of diseases with 42 symptoms originating from ENT specialists. The method was tested on 25 patients who used an expert system and adjusted the results of expert diagnoses. The test results are influenced by the number of symptoms, so that the accuracy obtained is only 88%. So this research is needed to be further developed to find a more reliable expert system in diagnosing ENT diseases.
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