Classification of Farmer’s Eligibility as Recipients Subsidized Fertilizer Assistance with C4.5 Algorithm

Diah Nur, Yunita and Soleliza Jones, Anna Hendri and Soyusiawaty, Dewi (2020) Classification of Farmer’s Eligibility as Recipients Subsidized Fertilizer Assistance with C4.5 Algorithm. In: 2nd International Conference on Engineering and Applied Sciences (2nd InCEAS), 2020, Yogyakarta.

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Abstract

Farmers are the main actors in agricultural development, have a major contribution in realizing Indonesia's agricultural vision. To support the realization of agricultural production and productivity targets, the government's 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 members of farmer groups, and having work as a farmer or a private employee. 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 for farmer data, there are 300 data with 113 training data. Produce a data classification of farmers who are eligible to receive assistance at 95,58% 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.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisi / Prodi:	Faculty of Industrial Technology (Fakultas Teknologi Industri) > S1-Informatics Engineering (S1-Teknik Informatika)
Depositing User:	Mrs Dewi Soyusiawaty
Date Deposited:	17 Jun 2022 02:13
Last Modified:	17 Jun 2022 02:13
URI:	http://eprints.uad.ac.id/id/eprint/35385

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