scholarly journals Consumer Customs Analysis Using the Association Rule and Apriori Algorithm for Determining Sales Strategies in Retail Central

2019 ◽  
Vol 125 ◽  
pp. 23003
Author(s):  
Ahmad Heru Mujianto ◽  
Chamdan Mashuri ◽  
Anita Andriani ◽  
Febriana Dwi Jayanti
Keyword(s):  
Association Rule ◽  
Apriori Algorithm ◽  
Average Percentage ◽  
Sales Process ◽  
Rule Method ◽  
Consumer Habits ◽  
A Company ◽  
Sales Strategies

The sustainability of a company will not be separated from the role of consumers in conducting transactions. In fact, a consumer has different behaviour and character, therefore as a company owner must be able to analyze the patterns or habits of consumers in making transactions. This also happens in the retail center X, which has problems in the sales process, such as products running out of stock and unsold products and the most popular products and products that are not in demand by consumers. Therefore we need an analysis of consumer habits in conducting transactions. The method of association rule with Apriori algorithm is able to be applied well in the analysis of the habits of consumer transactions in the central retail X. The results of the calculation obtained an average percentage of the value of support 33%-40% and the value of confidence 43%-80%. The results of applying the association rule method with Apriori algorithm can help recommend central retail X owners in structuring product and determine strategic steps in increasing sales, such as providing discounts or promos for certain products.

scholarly journals Implementasi Algoritma Apriori Pada Penyusunan Menu Makanan Rumah Makan Prasmanan

2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Asep Budiman Kusdinar ◽  
Daris Riyadi ◽  
Asriyanik Asriyanik
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
Association Rule ◽  
High Frequency ◽  
A Priori ◽  
Apriori Algorithm ◽  
Frequency Pattern ◽  
Data Mining Techniques ◽  
Rule Method

A buffet restaurant is a restaurant that provides buffet food that is served directly at the dining table so that customers can order more food according to their needs. This study uses the association rule method which is one of the methods of data mining and a priori algorithms. Data mining is the process of discovering patterns or rules in data, in which the process must be automatic or semi-automatic. Association rules are one of the techniques of data mining that is used to look for relationships between items in a dataset. While  the apriori algorithm is a very well-known algorithm for finding high-frequency patterns, this a priori algorithm is a type of association rule in data mining. High- frequency patterns are patterns of items in the database that have frequencies or support. This high-frequency pattern is used to develop rules and also some other data mining techniques. The composition of the food menu in the Asgar restaurant is now arranged randomly without being prepared on the food menu between one another. The result of this research is  to support the composition of the food menu at the Asgar restaurant so that it is easier to take food menu with one another.  

Penggunaan Association Rule Data Mining Untuk Menentukan Pola Lama Studi Mahasiswa F-MIPA UNSRAT

d'CARTESIAN ◽  
2014 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
M. Zainal Mahmudin ◽  
Altien Rindengan ◽  
Winsy Weku
Keyword(s):  
Data Mining ◽  
Association Rule ◽  
Large Data ◽  
Apriori Algorithm ◽  
Data Mining Algorithms ◽  
Adequate Information ◽  
Processing Data ◽  
Rule Method ◽  
Mining Algorithms ◽  
Confidence Value

Abstract The requirement of highest information sometimes is not balance with the provision of adequate information, so that the information must be re-excavated in large data. By using the technique of association rule we can obtain information from large data such as the college data. The purposes of this research is to determine the patterns of study from student in F-MIPA UNSRAT by using association rule method of data mining algorithms and to compare in the apriori method and a hash-based algorithms. The major’s student data of F-MIPA UNSRAT as a data were processed by association rule method of data mining with the apriori algorithm and a hash-based algorithm by using support and confidance at least 1 %. The results of processing data with apriori algorithms was same with the processing results of hash-based algorithms is as much as 49 combinations of 2-itemset. The pattern that formed between 7,5% of graduates from mathematics major that studied for more 5 years with confidence value is 38,5%. Keywords: Apriori algorithm, hash-based algorithm, association rule, data mining. Abstrak Kebutuhan informasi yang sangat tinggi terkadang tidak diimbangi dengan pemberian informasi yang memadai, sehingga informasi tersebut harus kembali digali dalam data yang besar. Dengan menggunakan teknik association rule kita dapat memperoleh informasi dari data yang besar seperti data yang ada di perguruan tinggi. Tujuan penelitian ini adalah menentukan pola lama studi mahasiswa F-MIPA UNSRAT dengan menggunakan metode association rule data mining serta membandingkan algoritma apriori dan algoritma hash-based. Data yang digunakan adalah data induk mahasiswa F-MIPA UNSRAT yang  diolah menggunakan teknik association rule data mining dengan algoritma apriori dan algoritma hash-based dengan minimum support 1% dan minimum confidance 1%. Hasil pengolahan data dengan algoritma apriori sama dengan hasil pengolahan data dengan algoritma hash-based yaitu sebanyak 49 kombinasi 2-itemset. Pola yang terbentuk antara lain 7,5% lulusan yang berasal dari jurusan matematika menempuh studi selama lebih dari     5 tahun dengan nilai confidence 38,5%. Kata kunci : Association rule data mining, algoritma apriori, algoritma hash-based

scholarly journals Application of Association Rule Method Using Apriori Algorithm to Find Sales Patterns Case Study of Indomaret Tanjung Anom

2021 ◽  
Vol 1 (2) ◽  
pp. 54-66
Author(s):  
M. Hamdani Santoso
Keyword(s):  
Data Mining ◽  
Association Rule ◽  
A Priori ◽  
Apriori Algorithm ◽  
Rule Discovery ◽  
Association Rule Discovery ◽  
Rule Method ◽  
Confidence Value ◽  
Method Show

Data mining can generally be defined as a technique for finding patterns (extraction) or interesting information in large amounts of data that have meaning for decision support. One of the well-known and commonly used association rule discovery data mining methods is the Apriori algorithm. The Association Rule and the Apriori Algorithm are two very prominent algorithms for finding a number of frequently occurring sets of items from transaction data stored in databases. The calculation is done to determine the minimum value of support and minimum confidence that will produce the association rule. The association rule is used to produce the percentage of purchasing activity for an itemset within a certain period of time using the RapidMiner software. The results of the test using the priori algorithm method show that the association rule, that customers often buy toothpaste and detergents that have met the minimum confidence value. By searching for patterns using this a priori algorithm, it is hoped that the resulting information can improve further sales strategies.

scholarly journals Assosiation Rules for Product Sales Data Analysis Using The Apriori Algorithm

SinkrOn ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 84
Author(s):  
Jarseno Pamungkas ◽  
Yopi Handrianto
Keyword(s):  
A Priori ◽  
Data Mining Algorithm ◽  
Apriori Algorithm ◽  
Transaction Data ◽  
Sales Strategy ◽  
Sales Process ◽  
Calculation Process ◽  
Product Sales ◽  
The Relationship ◽  
A Company

To increase sales transactions, the company must be able to compete with other competitors so that it requires an appropriate strategy in carrying out the sales process carried out. In addition to the marketing strategy, the company must be able to analyze the products sold based on the number of sales that have occurred so that the company can see which products are more dominant in consumer demand so that the company can determine a more effective sales strategy. PT. Surya Indah City is a company engaged in the sale of various clothing and accessories. In an effort to increase sales of its products, an analysis is needed to be able to increase company revenue by utilizing sales transaction data it has. To analyze the relationship between clothing products and accessories which are more predominantly sold and other available clothing and accessories products, a data mining algorithm is used, namely the a priori algorithm. With the help of the tanagra application to carry out the calculation process, the dominant product that consumers are interested in can be determined. By using two variables that meet support and minimum confidence, it can be concluded that the most sold products are from the type of clothing, namely clothes and pants. It was concluded that the results of the known final association rules, if you buy a shirt, you will buy pants with 50% support and 75% confidence. If you buy pants, you will buy clothes with 50% support and 85% confidence.

scholarly journals Data Mining Technology in Book Copyright Information Management Decision System

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Song Lifang
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Information Management ◽  
Association Rule ◽  
Information Management System ◽  
Management Decision ◽  
Apriori Algorithm ◽  
Mining Technology ◽  
Copyright Information ◽  
Rule Method

Today is an era of data “big bang”; Internet information technology is widely used in various fields of society. As an indispensable spiritual food in people’s daily life, books are increasing in number and scale. In order to better manage book information, people have introduced data mining technology. Based on this, this article takes the research and application of data mining technology in book copyright information management decision-making system as the theme, explores the role of data mining technology in book copyright information management, and aims to provide reference for our country’s book copyright information management and decision-making. This article first introduces the common algorithms of data mining technology and then elaborates on the advantages and effectiveness of the association rule method in data mining. Aiming at some defects of the original Apriori algorithm of the association rule method, an improved Apriori algorithm is proposed. After taking the library book information management system and database of a university in our province as the experimental research object, the performance gap between the two algorithms is compared through experiments, and it is concluded that when the number of transaction set item records is less than 1400, the Apriori algorithm performs better, and when the number of records in the transaction set is greater than 1400, the improved Apriori algorithm is obviously more advantageous. The research results show that the introduction and application of data mining technology make the information management of books more efficient and convenient, and it is more convenient for the management and decision-making of book copyright information.

scholarly journals PENERAPAN DATA MINING MENGGUNAKAN METODE ASSICIATION RULE DENGAN ALGORITMA APRIORI UNTUK ANALISA POLA PENJUALAN BARANG

JURTEKSI ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. 193-198
Author(s):  
Yori Apridonal M ◽  
Wirdah Choiriah ◽  
Akmal Akmal
Keyword(s):  
Data Mining ◽  
Association Rule ◽  
Frequent Itemset ◽  
Apriori Algorithm ◽  
Data Set ◽  
Processing Data ◽  
New Information ◽  
Alternative Algorithm ◽  
Rule Method ◽  
Events Data

Abstract: Fantasy Kids is a children's clothing distribution in the Bangkinang area, Kampar Regency, Riau. In its operations, distros sell their products to the general public, including the sale of children's shirts, children's shirts, jackets or children's sweaters which are usually sold in other distros. These distributions carry out product updates at certain events. Data Mining is the development or discovery of new information by looking for certain patterns or rules of a large amount of data expected to overcome these conditions. The method that will be used in the construction of this application is the Association Rule method with the Apriori Algorithm. Association Rule method is a procedure to find relationships between items in a specified data set. In determining a Association Rule, there is a measure of trust obtained from the results of processing data with certain calculations. Apriori Algorithm is an alternative Algorithm that can be used to determine the frequent itemset in a data set. Keywords : Data Mining, Algoritma, Apriori, Association Rule, Sales, Distro  Abstrak: Fantasy Kids merupakan sebuah distro baju anak-anak di kawasan Bangkinang, Kabupaten Kampar, Riau. Dalam operasionalnya, distro menjual produknya kepada masyarakat umum meliputi penjualan kaos anak, kemeja anak, bag, jaket atau sweater anak yang biasa dijual di distro-distro lainnya. Distro ini melakukan pembaruan produk pada event tertentu. Data Mining merupakan pegembangan atau penemuan informasi baru dengan mencari pola atau aturan tertentu dari sejumlah data dalam jumlah besar diharapkan dapat mengatasi kondisi tersebut. Metode yang akan digunakan dalam pembangunan aplikasi ini adalah metode Association Rule dengan Algoritma Apriori. Metode Association Rule adalah suatu prosedur untuk mencari hubungan antara item dalam suatu kumpulan data yang ditentukan. Dalam menentukan suatu Association Rule, terdapat suatu ukuran kepercayaan yang di dapatkan dari hasil pengolahan data dengan perhitungan tertentu. Algoritma Apriori merupakan salah satu alternatif Algoritma yang dapat digunakan untuk menentukan himpunan data yang paling sering muncul (frequent itemset) dalam suatu kumpulan data. Kata kunci: Data Mining, Algoritma, Apriori, Association Rule, Penjuaan, Distro

scholarly journals Data Mining Menggunakan Algoritma Apriori untuk Rekomendasi Produk bagi Pelanggan

2019 ◽  
Vol 7 (3) ◽  
pp. 103-108
Author(s):  
Ariefana Ria Riszky ◽  
Mujiono Sadikin
Keyword(s):  
Data Mining ◽  
Decision Support ◽  
Marketing Strategy ◽  
Association Rule ◽  
Apriori Algorithm ◽  
Processing Data ◽  
Total Data ◽  
Product Recommendations ◽  
Rule Method ◽  
Confidence Value

The implementation of a marketing strategy requires a reference so that promotion can be on target, such as by looking for similarities between product items. This study examines the application of the association rule method and apriori algorithm to the purchase transaction dataset to assist in forming candidate combinations among product items for customer recommended product promotion. The purchase transaction dataset was collected in October and November 2018 with a total data of 1027. In the experiment, the minimum value of support is 85%, and the minimum confidence value is 90% by processing data using the Weka software 3.9 version. Apriori algorithm can form association rules as a reference in the promotion of company products and decision support in providing product recommendations to customers based on defined minimum support and confidence values.

The Role of Web Based Accounting Online System 2.0 as the Company's Income and Expense Management

2017 ◽  
Vol 1 (1) ◽  
pp. 44-49
Author(s):  
Nur Azizah ◽  
Dedeh Supriyanti ◽  
Siti Fairuz Aminah Mustapha ◽  
Holly Yang
Keyword(s):  
Financial Management ◽  
Accounting System ◽  
Bank Account ◽  
Web Based ◽  
Online System ◽  
Version 2.0 ◽  
User Friendly ◽  
The Impact ◽  
A Company

In a company, the process of income and expense of money must have a profit-generating goal base. The success of financial management within the company, can be monitored from the ability of the financial management in managing the finances and utilize all the opportunities that exist with as much as possible with the aim to control the company's cash (cash flow) and the impact of generating profits in accordance with expectations. With a web-based online accounting system version 2.0, companies can be given the ease to manage money in and out of the company's cash. It has a user friendly system with navigation that makes it easy for the financial management to use it. Starting from the creation of a company's cash account used as a cash account and corporate bank account on the system, deletion or filing of cash accounts, up to the transfer invoice creation feature, receive and send money. Thus, this system is very effective and efficient in the management of income and corporate cash disbursements.   Keywords:​Accounting Online System, Financial Management, Cash and Bank

ASPECTS IN BUILDING A COMPANY WEB-SITE AND ITS ROLE FOR THE DEVELOPMENT OF BUSINESS

2018 ◽  
pp. 117-124
Author(s):  
Petar Halachev ◽  
Victoria Radeva ◽  
Albena Nikiforova ◽  
Miglena Veneva
Keyword(s):  
Life Cycle ◽  
Web Site ◽  
The Internet ◽  
A Company ◽  
The Web ◽  
Design Construction ◽  
Made In ◽  
Site Types

This report is dedicated to the role of the web site as an important tool for presenting business on the Internet. Classification of site types has been made in terms of their application in the business and the types of structures in their construction. The Models of the Life Cycle for designing business websites are analyzed and are outlined their strengths and weaknesses. The stages in the design, construction, commissioning, and maintenance of a business website are distinguished and the activities and requirements of each stage are specified.

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