COMPARISON BETWEEN APRIORI AND FP-GROWTH ALGORITHMS ON INVENTORY MODEL OF ITEM AVAILABILITY

Jurnal Ipteks Terapan

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Field Value
 
Title COMPARISON BETWEEN APRIORI AND FP-GROWTH ALGORITHMS ON INVENTORY MODEL OF ITEM AVAILABILITY
 
Creator Husna, Radhiatul; Andalas University
Hendra, Yomei; Andalas University
Akbar, Muhammad Imam
 
Subject
Mathematical modeling, probability, apriori algorithm, fp-growth algorithm.

 
Description In this study, it will be discussed the comparison between apriori and fp-growth algorithms on an inventory model of item availability. The research about this topic becomes important and interesting to be studied because it illustrates the implementation of applied mathematics by constructing the matematical model, namely an inventory model of item availability. Then, the model will be solved by using apriori and fp-growth algorthms related to the application of probability theory. In this case, apriori and fp-growth algorithms are used to specifythe pattern of dependency relationships between an item and other items so that the probability of item purchase based on other goods can be discovered. Moreover, the number of items which should be provided by a seller in a shop or a supermarket can be calculated. In order to figure out the output of this research which is the analysis of the comparison between apriori and fp-growth algorithms on the inventory model of item availbility, then choosing and categorizing kinds of items based on the sales, using the apriori and fp-growth algorithms, constructing the model, solving and interpreting it are established.
 
Publisher LLDIKTI Wilayah X
 
Contributor
 
Date 2020-10-13
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion


 
Format application/pdf
 
Identifier http://ejournal.lldikti10.id/index.php/jit/article/view/5524
10.22216/jit.2020.v14i3.5524
 
Source Jurnal Ipteks Terapan; Vol 14, No 3 (2020): JIT; 219-229
Jurnal Ipteks Terapan; Vol 14, No 3 (2020): JIT; 219-229
2460-5611
1979-9292
10.22216/jit.2020.v14i3
 
Language eng
 
Relation http://ejournal.lldikti10.id/index.php/jit/article/view/5524/pdf1
10.22216/jit.2020.v14i3.5524
 
Coverage


 
Rights Copyright (c) 2020 Radhiatul Husna, Yomei Hendra, Muhammad Imam Akbar
http://creativecommons.org/licenses/by-sa/4.0
 

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