Classification of Farmers‘ Eligibility as Recipents of Subsidized Fertilizer Assistance with C4.5 Algorithm Diah Nur Yunita (a1), Anna Hendri Soleliza Jones (a2,*), Dewi Soyusiawaty (a3)
a) Department of Informatics, Ahmad Dahlan University
a1) diahnuryunita[at]gmail.com
a2*) annahendri[at]tif.uad.ac.id
a3) dewi.soyusiawaty[at]tif.uad.ac.id
Abstract
Farmers are the main actors in agricultural development, have a major contribution in realizing Indonesias agricultural vision. To support the realization of agricultural production and productivity targets, the governments supports is by issuing policies to provide subsidized fertilizer assistance. The criteria for farmers who are eligible to receive subsidized fertilizer assistance are having land less than 1.9 hectares, have been a members of farmer groups, and having work as a farmer or a private employees.
Data collection was carried out using the method of observation and interviews with farmer groups in Gunung Kidul. Data classification is done by applying the C4.5 algorithm to 300 data of prospective farmers receiving subsidized fertilizer assistance. Application development includes interface design, making data flow diagrams, implementation and testing.
From the research that has been done by applying the C4.5 Algorithm with 300 data and 113 as a training data. Produce a data classification of farmers who are eligible to receive assistance at 88% accurate and targeted to the needs of farmers. This means that the C4.5 algorithm can be used as a classification for determining the eligibility of farmers to receive subsidized fertilizer.
