Rekomendasi Kualitas Pupuk Terhadap Jenis Tanah Dengan Menggunakan Metode Fuzzy ANP

Studi Kasus Tanaman Kelapa Sawit

Abstract

The world's need for palm oil (Crude Palm Oil/CPO) continues to increase every day. In one hectare of oil palm plants that are 8-10 years old with a production of 25 tons of FFB per year, the required nutrients are 193 kg Nitrogen, 26 kg Phosphorus, 251 kg Potassium and 61 kg Magnesium. To meet the needs of these nutrients, maintenance is carried out in applying fertilizer. Fertilizer determination is carried out by competent experts in the field. These expert recommendations provide accurate fertilizer choices, just that Sometimes it takes a long time to determine fertilizer recommendations, there are no experts on-site experts or high maintenance costs.To overcome the problem of determining palm oil fertilizer quickly and precisely to increase palm oil production through computerization, a system was built Determination of fertilizer on soil type using the Fuzzy ANP method. Criteria used are the amount of fertilizer, plant age, rainfall/year and nutrient deficiency (leaf color), input value Crips from each of these criteria will later be used to determine each suitability alternatives on each criterion. This system will be built on a web basis. The accuracy results carried out in this research obtained accuracy in the case study of coconut plants palm oil using the F-ANP Method is 82.6%