IMPLEMENTASI DATA MINING UNTUK MENGKLASIFIKASIKAN PRODUK PADA SEBUAH SUPERMARKET MENGUNAKAN ALGORITMA ID3 PADA ORANGE
Abstract
Technological developments are increasingly increasing or developing very rapidly. The development of technology has also affected the increasing needs of the community, so supermarkets and retailers are competing to provide various types of products or daily needs. However, in every collection or supermarket, it is necessary to know what types of products are needed by customers who will later become targets. To help shops and supermarkets, the authors will conduct an analysis to find out the types of products that customers like by implementing data mining in supermarket classification using the ID3 algorithm
Downloads
References
Khaerul Ma’mur, “Analisis Penerapan Algoritma ID3 dalam Mendiagnosis Kesuburan Pria” Jurnal Informatika Universitas Pamulang, vol. 4, no. 2, pp:35-42. 2019.
Broto Poernomo T.P. dan Rina Dewi Indah Sari, “Penerapan Data Mining Untuk Prakiraan Cuaca Di Kota Malang Menggunakan Algoritma Iterative Dichotomiser 3 (ID3)” JOUTICLA, vol. 3, no.2, pp: 101-108. 2017.
Yusuf Elmande dan Prabowo Pudjo Widodo, “Pemilihan Criteria Splitting Dalam Algoritma Iterative Dichotomiser 3 (ID3) Untuk Penentuan Kualitas Beras
: Studi Kasus Pada Perum Bulog Divre Lampung” Jurnal TELEMATIKA MKOM vol.4 no.1, pp:73-82. 2012.
Avia Enggar Tyasti, Dwi Ispriyanti dan Abdul Hoyyi, “Algoritma Iterative Dichotomiser 3 (ID3) Untuk Mengidentifikasi Data Rekam Medis (Studi Kasus Penyakit Diabetes Mellitus Di Balai Kesehatan Kementerian Perindustrian, Jakarta)” Jurnal Gaussian, vol. 4, no. 2, pp:237-246. 2015.
M. Safii, “Implementasi Data Mining Dengan Metode Pohon Keputusan Algoritma ID3 Untuk Menentukan Status Mahasiswa” Jurnal Mantik Penusa, vol. 2, no. 1, pp:82-86. 2018.
Copyright (c) 2021 Nengah Widya Utami, I Wayan Budi Suryawan
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution International License (CC BY 4.0) that allows others to share the work with an acknowledgement 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 acknowledgement of its initial publication in this journal.
Copyright without Restrictions
The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
The submitted papers are assumed to contain no proprietary material unprotected by patent or patent application; responsibility for technical content and for protection of proprietary material rests solely with the author(s) and their organizations and is not the responsibility of the SMART TECHNO or its Editorial Staff. The main (first/corresponding) author is responsible for ensuring that the article has been seen and approved by all the other authors. It is the responsibility of the author to obtain all necessary copyright release permissions for the use of any copyrighted materials in the manuscript prior to the submission.
