Penerapan Metode Association Rule Mining (ARM) Untuk Memprediksi Rencana Penambahan Stok Pupuk Berdasarkan Kebiasaan Pelanggan Pada Kelompok Tani Di Desa Bumisari Kecamatan Natar
Abstract
To increase the yield and productivity of agricultural products, one very important factor is the use of fertilizers. The presence of fertilizer in the right amount, type, quality, price, place and time will determine the quantity and quality of agricultural products produced. The government encourages the efficient use of fertilizers through various policies covering the technical aspects of supply and distribution as well as prices through subsidies. Subsidized fertilizers are regulated by the Group Needs Definitive Plan (RDKK) which is the real needs of farmers for one period in farming management. Farmer groups in Bumisari Village, Natar District, South Lampung Regency are fertilizer distributors, so for fertilizer needs needed by farmers through farmer groups, fertilizer delivery is carried out through RDKK regardless of farmers' buying habits which can be seen from sales transaction data. The problem that is often faced is fertilizer, which must be ordered, most of the fertilizer stock is running low or not available. So we need a system that can process sales transaction data that can be used to predict the availability of fertilizers and can be used to make plans to increase fertilizer stocks. This system was built using the Association Rule Mining (ARM) method, which is a mining technique method for finding associative rules between an itemset combination, calculations are performed by determining the minimum support and minimum confidence values which will produce a base rule that can be used to plan stock additions. From the results of testing the system, the greater the minimum support and minimum confidence, the fewer rules are produced.
Keywords : ARMS; Bumisari Village Farmers Group; itemsets; Minimum support; minimum confidence; adding rules
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