DATA MINING DENGAN ALGORITMA APRIORI UNTUK PENENTUAN ATURAN ASOSIASI POLA PEMBELIAN PUPUK

Amrin Amrin

Abstract


In order to find out what fertilizer purchased by consumers, can be done with analytical techniques that is the analysis of consumer buying habits. Detection of fertilizers often purchased simultaneously is done using association rules. In this research will be used a priori algorithm for determining the rules of association of fertilizer purchases. From the results of the discussion and analysis of data can be concluded that with the application of a priori algorithm in determining the combination between itemsets with minimum support of 20% and minimum confidence 75% found 6 association rules, which has the highest value of support and confidence is if the consumer made a purchase transaction of fertilizer Organic and urea fertilizers simultaneously with the value of 60% support and 86% confidence value. Thus, if there are consumers buying organic fertilizers, then the possibility of consumers buying urea fertilizer is 86%.

References


Gorunescu, Florin (2011). Data Mining: Concepts, Models, and Techniques. Verlag Berlin Heidelberg: Springer

Han, J.,&Kamber, M. (2006).Data Mining Concept and Tehniques.San Fransisco: Morgan Kauffman.

Kusrini,&Luthfi, E. T. (2009). Algoritma Data Mining. Yogyakarta: Andi Publishing.

Santosa, Budi (2007). Data Mining Teknik Pemanfaatan Data Untuk Keperluan Bisnis. Yogyakarta: Graha Ilmu.

Sogala, Satchidananda S. (2006). Comparing the Efficacy of the Decision Trees with Logistic Regression for Credit Risk Analysis. India.

Sumathi, & S., Sivanandam, S.N. (2006). Introduction to Data Mining and its Applications.

Witten, I. H., Frank, E., & Hall, M. A. (2011).Data Mining: Practical Machine Learning and Tools. Burlington: Morgan Kaufmann Publisher.

Yulita, Marsela dan Veronica S. Moertini (2004). Analisis Keranjang Pasar dengan Algotitma Hash-Based pada transaksi penjualan di Apotik. Bandung: Jurnal Integral Majalah Ilmiah Matematika dan Ilmu Pengetahuan Alam, Vol 9, No 3 (2004), Jurusan Ilmu Komputer Universitas Katolik Parahyangan.




DOI: https://doi.org/10.31294/p.v19i1.1836



ISSN2579-3500

Dipublikasikan oleh LPPM Universitas Bina Sarana Informatika

Jl. Kramat Raya No.98, Kwitang, Kec. Senen, Kota Jakarta Pusat, DKI Jakarta 10450
Telepon: 021-21231170, ext. 704 / 705
Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License