Di Indonesia prevalensi kanker pada data Riskesdes tahun 2018 terdapat 1,79 per 1.000 penduduk mengidap penyakit kanker. Akibat tingginya prevalensi kanker maka diperlukan pendeteksian kanker sejak dini. Salah satu cara mendeteksi kanker yaitu dengan teknologi microarray dimana teknologi ini dapat memantau ribuan ekpresi gen secara bersamaan dalam satu percobaan. Namun, data microarray memiliki dimensi yang besar sehingga diperlukan proses reduksi dimensi data microarray pada penyakit prostate cancer da gastric cancer agar dapat menghilangkan atribut yang redundansi dan meningkatkan akurasi pada klasifikasi. Reduksi dilakukan menggunakan MRMR (FCQ dan FCD) dengan k 10,20,30,40,50,60,70,80,90 dan 100. Klasifikasi dilakukan menggunakan RF dengan membentuk 100 tree. Hasil akurasi terbaik pada klasifikasi data prostate cancer yaitu dengan FCQ 100% pada k=10, tanpa reduksi 95% dan akurasi terendah dengan FCD 52% pada k=90. Sedangkan hasil akurasi terbaik klasifikasi data gastric cancer yaitu dengan FCQ dan FCD 100% pada semua k dan akurasi terendah yaitu tanpa reduksi 83%.

Fertilizers addition that is in accordance with the vegetative and generative needs of rice plants, the yield of grain production will be able to increase, to see the nutrients needed by rice plants can be seen with a soil nutrient index. The purpose of this study was to make fertilizer recommendations that appropriate with increased growth and production of the plants based on nutrient indextoachieve targeted production. Experimental design research was a factorial completely randomized design with 2 factors and 3 repeats. First factor was given complete fertilizer (urea, SP-36, KCl, and dolomite), consisted of:0 g/plant; 549.574 g/plant; 824.36 g/plant; 1099.15 g/plant; 1373.94 g/plant. Second factor was soil nutrient indexconsisted of 0.9 (10% reduced dosage); 1 (standard nutrient index); 1.1 (10% added dosage). The result showed that givenfertilizer based on nutrient index significantly effective in grain rice production. The addition of fertilizer in appropriates high dosage of 1373.94 g/plant was able to increase production per plant plotuntil 5 kg/plot. The conclusion of this research is givingnutrient elements that appropriate with vegetative and generative needs of plants, so that maximum production can be achieved in accordance with the desired production target in one harvest period.

This study aims to model the diet menu problem based on a Boolean Linear Programming approach. A balanced diet is the key to a healthy lifestyle. A balanced diet is a diet that combines foodstuffs in the right amount of food components in one menu (dishes using certain recipes). When you have an unbalanced diet, your body will not get the right amount of nutrients. This is what causes the importance of managing the diet menu. Because of that, a diet menu problem model was formed based on the Boolean Linear Programming approach to cover a varied range of daily diet menu management and meet daily nutritional needs while minimizing costs. The stages of establishing the diet menu problem model are carried out by determining the notations, parameters, variables, objective functions, and some constraints related to the diet menu.