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Implementation of Data Mining to Predict Food Sales Rate Method using Apriori

by Yuli Nur Indah Sari, Agung Triayudi, Ira Diana Sholihati
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 35
Year of Publication: 2019
Authors: Yuli Nur Indah Sari, Agung Triayudi, Ira Diana Sholihati
10.5120/ijca2019919228

Yuli Nur Indah Sari, Agung Triayudi, Ira Diana Sholihati . Implementation of Data Mining to Predict Food Sales Rate Method using Apriori. International Journal of Computer Applications. 178, 35 ( Jul 2019), 22-28. DOI=10.5120/ijca2019919228

@article{ 10.5120/ijca2019919228,
author = { Yuli Nur Indah Sari, Agung Triayudi, Ira Diana Sholihati },
title = { Implementation of Data Mining to Predict Food Sales Rate Method using Apriori },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2019 },
volume = { 178 },
number = { 35 },
month = { Jul },
year = { 2019 },
issn = { 0975-8887 },
pages = { 22-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number35/30768-2019919228/ },
doi = { 10.5120/ijca2019919228 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:52:19.172752+05:30
%A Yuli Nur Indah Sari
%A Agung Triayudi
%A Ira Diana Sholihati
%T Implementation of Data Mining to Predict Food Sales Rate Method using Apriori
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 35
%P 22-28
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Fonzu Premium restaurant management has had difficulty in knowing the which menus are most in demand by consumers and still uses manual methods, and sometimes customers can not order the desired order Because some of the menus on the menu list are up or some raw material supplies are not available. Apriori algorithm is one algorithm that searches frequent itemset by using the association rule technique. Based on the results of implementing the association rule method using a priori algorithm to find the linkages between the level of sales menu Fonzu Premium ordered at restaurants. With this association rule, it is expected to help the managerial parties to find out the which menus are most in demand by consumers, so a system can be used the which can be used as a prediction system using data mining association rule Apriori algorithm using.

References
  1. Robi Yanto, Riri Khiriah, "Implementation of Data Mining Methods Apriori Algorithm In Determining Drug Purchasing Patterns", Vol.2, No.1, February 2015-April 2015 ISSN: 2354-5771.
  2. Della Sophia, Latitude Yuniar Banowosari, "Implementation Method Using Association Rules Apriori Algorithm On Sale Transaction Data In Waroeng Special Sambal", vol.22 No.1, April 2017.
  3. Ristianigrum, Sulastri. (2017) "Implementation of Data Mining Algorithm Using Apriori" syntax Proceedings, 2017. ISBN: 978-602-8557-20-7.
  4. Kennedi Tampubolon, Hoga Saragih, Bobby Reza, "Implementation of Data Mining Algorithm Apriori On Inventory System Health Tools", Vol. No. 1, October 2013 ISSN: 2339-210X.
  5. Muhammad Haikal; "Implementation of Data Mining To Predict Results of the Sale of Goods In Store New Light Using Apriori Algorithm": The University of Nusantara PGRI Kediri; 12.1.03.02.0213.
  6. Agung Triayudi, Hervian, "On Credit Financing Level Measuring PT.Trihamas Finance Using Apriori Data Mining Algorithm", Journal of ProTekinfo Vol.4 August 2017. ISSN: 2406-7741.
  7. Maharani, Nelly Astuti, Natalia Silalahi, "Implementation of Data Mining For Layout settings Minimarket By Applying Association Rule", Vol.4 No.4, August 2017 ISSN: 2407-389X.
  8. Fajri, Akhmad Fikri, 2016, "Implementation of Apriori Algorithm in Determining Program Students Taken", Journal of Applied Science and Technology Research of Applied Science and Education V10.i2 (81-85), ISSN: 1979-9292, May 2016.
  9. Lismardiana, Herman Mawengkang, Erna Budhiarti Nababan, "Development of Apriori Algorithm To Penganbilan Decision", Vol. 4 No. 2 December 2015: 110-121.
  10. Agung Triayudi, Iskandar Fitri "Comparison of Parameter-Free Agglomerative Hierarchical Clustering Methods", ICIC Express Letters 12 (10), 973-980, 2018.
  11. Chhavi Rana, "A Study of Web Usage Mining Research Tools", Volume: 03, Issue: 06 Pages: 1422-1429 (2012) ISSN: 0975-0290.
  12. Sanjeev Rao, Priyanka Gupta, "Implementing Improved Apriori Algorithm Over Data Mining Association Rule Algorithm", Vol.3, Issue 1, January- March 2012.
  13. Kaur, Manpreet, ShivaniKang, "Market Basket Analysis: Identify the changing trends of the market of data using association rule mining", International Conference on Computational Modeling and Security (CMS 2016) Procedia Computer Science 85 (2016) 78-85.
  14. Mohiuddin Khan A, Pradhan Sateesh K, Khaleel MA. Outlier Detection for Business Intelligence using Data Mining Techniques.International Journal of Computer Applications 2014: 106 (2): 28-31.
  15. Andrej Trnka. Market Basket Analysis with Data Mining Methods International Conference on Networking and Information Technology, 2010: 446-450.
  16. Senkul P., and S. Copy, Improving Quality in Web Usage Pattern Mining by Using Semantic Information, Knowledge and Information Systems, 1 (6), 2011, 400- 404.
  17. BS Kumar, and KV Rukmani, Implementation of Web Usage Mining APRIORI and FP Growth Using Algorithms, International Journal of Advanced Networking and applicatons, 1 (06), 2010, 400-404
Index Terms

Computer Science
Information Sciences

Keywords

Apriori Association Rules Data Mining

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