Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Vol 10 No 3 (2020): Jurnal Fasilkom

IMPLEMENTASI ASSOCIATION RULE MINING UNTUK MENENTUKAN POLA KOMBINASI MAKANAN DENGAN ALGORITMA APRIORI

Marina Rajagukguk (STIKOM Tunas Bangsa Pematangsiantar)
Rafiqa Dewi (STIKOM Tunas Bangsa Pematangsiantar)
Eka Irawan (STIKOM Tunas Bangsa Pematangsiantar)
Jaya Tata Hardinata (STIKOM Tunas Bangsa Pematangsiantar)
Irfan Sudahri Damanik (STIKOM Tunas Bangsa Pematangsiantar)



Article Info

Publish Date
14 Dec 2020

Abstract

OH5 Hash Cafe is a business that is engaged in the food sector and there is a lot of competition in doing business that is increasingly difficult to do so it is necessary to develop a strategy, this study aims to determine the pattern of food combinations, the method used in this research is the Apriori Algorithm to be able to find out and processed using the Rapid Miner 9.7 software in determining food combination patterns, the Apriori Algorithm is an interesting type of association rule in data mining and an interesting association analysis to produce an efficient algorithm that is high frequency pattern analysis, an association can be identified with two benchmarks, namely: Support and Cofindence. Support is the percentage of item combinations in the database, while Confidence is the strong relationship between items in the association rule.

Copyrights © 2020






Journal Info

Abbrev

JIK

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) is expected to be a media of scientific study of research result, a thought and a study criticial analysis to a System engineering research, Informatics Engineering, Information Technology, Computer Engineering, Informatics Management, and ...