Implementasi Algoritma C4.5 Prediksi Produksi Komoditas Tanaman Perkebunan Berdasarkan Luas Lahan
-
Desi Damayanti
*
Universitas Budi Darma, Medan,
Indonesia
(*) Corresponding Author
Abstract
The Blue-blue Plant Protection Development Unit (UPPT) is an agency that plays a role in assisting the community in increasing the production of plantation crop commodities in their fostered areas, both in terms of quality and quantity. However, sometimes there are still problems experienced by farmers, namely the incompatibility of the production of plantation crop commodities with the area of land they have, so that it can affect the level of income of the farmers themselves. One way to process this data is to apply data mining techniques, where data mining is a process of analyzing large data that is extracted into information to determine the pattern of analysis on plantation crop commodity production data based on land area. The C.45 algorithm will later explore existing data and will form a decision tree, where the decision tree will later assist the Blue-blue Plant Protection Development Unit (UPPT) in taking good actions in helping to increase the production of plantation crop commodities. and provide counseling to fostered farmers to anticipate losses to farmers
Downloads
References
Nurul Azwanti, "Analisa Algoritma C4.5 Untuk Memprediksi Penjualan Motor Pada Pt. Capella Dinamik Nusantara Cabang Muka Kuning ," Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer, vol. 13, no. 1, pp. 1858-4853, Februari 2018.
Eko Prasetyo, Data Mining Konsep dan Aplikasi Menggunakan Matlab, 1st ed., Nikodemus WK, Ed. Yogyakarta: C.V Andy Uffset, 2012.
Eko Prasetyo, Data Mining Mengolah Data Menjadi Informasi Menggunakan Matlab. Yogyakarta: CV. Andi Offset, 2014.
Kamus Besar Bahasa Indonesia. [Online]. https//kbbi.kata.web.id/tanaman, 2019
Wikipedia. [Online]. https://id.wikipedia.org/wiki/Tanaman, 2019
Kamus Besar Bahasa Indonesia. [Online]. https://kbbi.web.id/perkebunan-budi-daya/, 2019
Wikipedia. [Online]. https://id.wikipedia.org/wiki/perkebunan, 2019
Budi Sutedjo Dharma Oetomo, Perencanaa dan Pengembangan Sistem Informasi. Yogyakarta: CV. Andi Offset, 2002.
Andi Preantoko, Jago Microsoft Excel 2010. Jakarta: Kawan Pustaka, 2010.
C. Denis Aprilla, Donny Aji Baskoro, Lia Ambarwati, and I Wayan Simri Wicaksana, Belajar Data Mining Dengan Rapid Miner., 2013.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Implementasi Algoritma C4.5 Prediksi Produksi Komoditas Tanaman Perkebunan Berdasarkan Luas Lahan
Pages: 571-579
Copyright (c) 2022 Desi Damayanti
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
