Implementasi Data Mining Untuk Memprediksi Masa Panen Dalam Bercocok Tanam Dengan Menggunakan Algoritma Naive Bayes Classifier

  • Yustina Marbun * Mail Univerista Budi Darma, Indonesia
DOI: https://doi.org/10.47065/bit.v3i1.181
Keywords: Prediksi; masa panen; Naive Bayes Classifier; RapidMinner 5.3

Abstract

Abstract−This study intends to predict the harvest period in farming at the Regional Technical Implementation Unit of Gabe Hutaraja Various Crops. The method used in this study is the Naive Bayes Classifier. The data used in this study are time series data from 2015 to 2017. The results of this study are predictions of rice, peanut, and corn crops in the future.

Naive Bayes Classifier is a simple probabilistic classification process based on the application of Bayes' Theorem (Bayes rule) with the assumption of strong independence, in other words, in Naive Bayes, the model used is an independent feature model. Implementation using RapidMinner5.3 is used to help find an accurate value.

The benefits of writing this research are that it can predict rice, peanut, and corn crops so that it is needed in farming as a field of planning and improving the quality of crop yields that aim to reduce farmers' losses.

References

Baez, Jeffrey, 2009, “Math In The Solitaire Cipher”,Journal IEEE Trans. On Computer, Vol. 58, No. 6, pp.721-727.

http://www.e-jurnal.com/2014/02/pengertian-pesan.html, diakses tanggal 24 Mei 2018.

https://www.maxmanroe.com/vid/teknologi/pengertian-chatting.html,diakses tanggal 24 April 2018.

Ariyus, Dony, 2005, “Kriptografi Keamanan Data Dan Komunikasi”. Edisi Pertama. Yogyakarta. Graha Ilmu.

Sadikin, Rifki, 2012, ”Kriptografi Untuk Keamanan Jaringan”, Penerbit Andi, Yogyakarta.

Ariyus, Dony, 2008, ”Computer Security, Andi, Yogyakarta.

https://www.maxmanroe.com/vid/teknologi/pengertian chatting.html,diakses tanggal 24 April 2018.

A.S. Rosa dan Shalahuddin. M, 2013, “Rekayasa Perangkat Lunak Terstruktur”, Andi, Yogyakarta.

Dimensions Badge
Published
2022-03-30
How to Cite
Marbun, Y. (2022). Implementasi Data Mining Untuk Memprediksi Masa Panen Dalam Bercocok Tanam Dengan Menggunakan Algoritma Naive Bayes Classifier. Bulletin of Information Technology (BIT), 3(1), 10 -19. https://doi.org/10.47065/bit.v3i1.181
Issue
Vol 3 No 1: Maret 2022
Section
Articles

Copyright (c) 2022 Yustina Marbun

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish with this journal agree to the following terms:

  1. 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.
  2. 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.
  3. 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).