Penerapan Metode Asosiasi Datamining Market Basket Analysis Menggunakan Algoritma Apriori Untuk Melakukan Pola Analisis Belanja Konsumen
| Main Author: | Islami, hidayatullah Al |
|---|---|
| Format: | Article info application/pdf Journal |
| Bahasa: | eng |
| Terbitan: |
JOAIIA : Journal of Artificial Intelligence and Innovative Applications
, 2020
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| Subjects: | |
| Online Access: |
http://openjournal.unpam.ac.id/index.php/JOAIIA/article/view/4366 http://openjournal.unpam.ac.id/index.php/JOAIIA/article/view/4366/3305 |
| ctrlnum |
article-4366 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">Penerapan Metode Asosiasi Datamining Market Basket Analysis Menggunakan Algoritma Apriori Untuk Melakukan Pola Analisis Belanja Konsumen</title><creator>Islami, hidayatullah Al</creator><subject lang="en-US">Software Engineering; Information System; Artificial Intelligence</subject><subject lang="en-US">Data Mining; Association; Market Basket Analysis</subject><subject lang="en-US"/><description lang="en-US">Application  Of  Data  Mining  Association  Method  Market  Basket  Analysis  Using  Apriori  Algorithm  For  Consumer  Shopping  Analysis  Purpose  (Case  Study:  Sbmart Bukit  Nusa  Indah)  Data  Mining  is  a  discipline  that  studies  techniques  from patterns, statistics, databases, which aims to extract information useful and valuable. Transaction data within  1  year  is  very  unfortunate  if not  analyzed  and  reprocessed  to  obtain  useful  information  data such as to be able to know the product with the most sales and product linkage with each other. For that we need one of the data mining algorithm that is Market Basket Analysis and Apriori algorithm because algorithm apriori is the most famous algorithm to find high frequency pattern. The purpose of this  research  is  to  analyze  sales  sales  data  at  SBmart  Bukit  Nusa  Indah  Store.  The  results  of  the implementation  and  testing  obtained  from  the  processing  of  sales  transaction  data  in  the  form  of itemset data by applying the concept of association analysis of known mining support values on each item, item combination, and confidence value in the formation of frequent itemset using RapidMiner Studio 5.  The  most  purchased  item  simultaneously  by  consumers  of  SBMart  Bukit  Nusa  Indah,  if buying Biscuit to eat will buy Mineral Water with 70,43% confidence, Liquid Milk Tetra-Instant Noodles with 73,16% confidence, Liquid Tea & Cofee-Instant Noodles with confidence 79,33 %, Mineral Water -  Instant  Noodles  with  72.69%  confidence,  Modern  Snack  Pack-Instant  Noodles  with  74.22% confidence,  Instant  Noodles  Bread  with  83.78% confidence,  Egg-Instant  Noodles  with  84.02% confidence, Modern Snack Pack - Mineral Water with confidence 72.02% Egg-Mineral Water with a confidence73.36%.</description><publisher lang="en-US">JOAIIA : Journal of Artificial Intelligence and Innovative Applications</publisher><contributor lang="en-US"/><date>2020-02-01</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Other:</type><type>File:application/pdf</type><identifier>http://openjournal.unpam.ac.id/index.php/JOAIIA/article/view/4366</identifier><source lang="en-US">JOAIIA : Journal of Artificial Intelligence and Innovative Applications; Vol 1, No 1 (2020): February; 23-31</source><source>2716-1501</source><language>eng</language><relation>http://openjournal.unpam.ac.id/index.php/JOAIIA/article/view/4366/3305</relation><rights lang="en-US">Copyright (c) 2020 JOAIIA : Journal of Artificial Intelligence and Innovative Applications</rights><recordID>article-4366</recordID></dc>
|
| language |
eng |
| format |
Journal:Article Journal Other:info:eu-repo/semantics/publishedVersion Other Other: File:application/pdf File Journal:Journal |
| author |
Islami, hidayatullah Al |
| title |
Penerapan Metode Asosiasi Datamining Market Basket Analysis Menggunakan Algoritma Apriori Untuk Melakukan Pola Analisis Belanja Konsumen |
| publisher |
JOAIIA : Journal of Artificial Intelligence and Innovative Applications |
| publishDate |
2020 |
| topic |
Software Engineering Information System Artificial Intelligence Data Mining Association Market Basket Analysis |
| url |
http://openjournal.unpam.ac.id/index.php/JOAIIA/article/view/4366 http://openjournal.unpam.ac.id/index.php/JOAIIA/article/view/4366/3305 |
| contents |
Application Of Data Mining Association Method Market Basket Analysis Using Apriori Algorithm For Consumer Shopping Analysis Purpose (Case Study: Sbmart Bukit Nusa Indah) Data Mining is a discipline that studies techniques from patterns, statistics, databases, which aims to extract information useful and valuable. Transaction data within 1 year is very unfortunate if not analyzed and reprocessed to obtain useful information data such as to be able to know the product with the most sales and product linkage with each other. For that we need one of the data mining algorithm that is Market Basket Analysis and Apriori algorithm because algorithm apriori is the most famous algorithm to find high frequency pattern. The purpose of this research is to analyze sales sales data at SBmart Bukit Nusa Indah Store. The results of the implementation and testing obtained from the processing of sales transaction data in the form of itemset data by applying the concept of association analysis of known mining support values on each item, item combination, and confidence value in the formation of frequent itemset using RapidMiner Studio 5. The most purchased item simultaneously by consumers of SBMart Bukit Nusa Indah, if buying Biscuit to eat will buy Mineral Water with 70,43% confidence, Liquid Milk Tetra-Instant Noodles with 73,16% confidence, Liquid Tea & Cofee-Instant Noodles with confidence 79,33 %, Mineral Water - Instant Noodles with 72.69% confidence, Modern Snack Pack-Instant Noodles with 74.22% confidence, Instant Noodles Bread with 83.78% confidence, Egg-Instant Noodles with 84.02% confidence, Modern Snack Pack - Mineral Water with confidence 72.02% Egg-Mineral Water with a confidence73.36%. |
| id |
IOS13339.article-4366 |
| institution |
Universitas Pamulang |
| institution_id |
2303 |
| institution_type |
library:university library |
| library |
JOAIIA : Journal of Artificial Intelligence and Innovative Applications |
| library_id |
3234 |
| collection |
JOAIIA : Journal of Artificial Intelligence and Innovative Applications |
| repository_id |
13339 |
| subject_area |
Jurnal Kecerdasan Buatan Jurnal Sistem Informasi Jurnal Informatika |
| city |
KOTA TANGERANG SELATAN |
| province |
BANTEN |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS13339 |
| first_indexed |
2020-02-06T01:29:49Z |
| last_indexed |
2020-03-04T15:43:32Z |
| recordtype |
dc |
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1686662991347449856 |
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17.607244 |