Analisa Prediksi Varietas Buah Salak yang Sesuai dengan Lahan Daerah Kabupaten Banjarnegara Menggunakan Algoritma C45

Authors

  • Fitri Marisa Jurusan Teknik Informatika, Universitas Widyagama Malang
  • Anastasia L Maukar President University

DOI:

https://doi.org/10.26905/jtmi.v8i1.7521

Keywords:

C4.5 Algorithm, Classification Prediction, Agriculture, Snakefruit,

Abstract

Salak is a potential horticultural sector that is a leading commodity in Banjarnegara. Salak fruit varieties have fruit categories that have their advantages. Variants of salak fruit include ivory salak, granulated sugar salak, pondoh salak, and honey salak. Based on data released from the relevant government agencies, further research was carried out related to analyzing and conducting research to predict salak fruit varieties. This variety is suitable for land in every area in Banjarnegara with predictive analysis using the C4.5 algorithm. This method has been widely developed to classify and predict a case with a fairly high degree of accuracy. From this study, researchers hope that it can contribute farmers to determining the type of salak fruit that is most suitable for the land they own so that later the harvest obtained by farmers can be maximized

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Published

2022-07-04

Issue

Vol. 8 No. 1 (2022): Juni 2022

Section

Articles

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