Penerapan Data Mining Algoritma C4.5 Terhadap Prediksi Faktor Menurunnya Hasil Panen Padi

The aim of the study was to predict factors causing decline in rice yields. By knowing declining yields, business owners can further evaluate causes yields and then look for solutions on how overcome them. method used this is C4.5 Algorithm, source data primary obtained by direct interviews with mill farmers Siborna Village, Kec. Panei Kab. Simalungun Prov. North Sumatra. variables include (1) Pests, (2) Rice Grains, (3) Leaf Color, (4) Planting Month (5) Method. results 8 rules classification 3 increasing decision 5 decreasing an accuracy rate 93.33%. It be concluded that predictor based connectedness Attributes Month, Color Methods.