The Analysis and Implementation of Algorithm of Frequent Pattern – Growth to Support the Promotion Strategy in Victory University Sorong

International Journal of Computer Science and Engineering
© 2017 by SSRG - IJCSE Journal
Volume 4 Issue 10
Year of Publication : 2017
Authors : Iriene Surya Rajagukguk, Sri Yulianto Joko Prasetyo, Irwan Sembiring

How to Cite?

Iriene Surya Rajagukguk, Sri Yulianto Joko Prasetyo, Irwan Sembiring, "The Analysis and Implementation of Algorithm of Frequent Pattern – Growth to Support the Promotion Strategy in Victory University Sorong," SSRG International Journal of Computer Science and Engineering , vol. 4,  no. 10, pp. 24-31, 2017. Crossref,


Nowadays, the increasing number of campuses is growing, which makes want to get a better promotion strategy. As for how to find the right promotional strategy will be able to reduce the cost of promotion and achieve the right promotional goals. One way that can be done for the determination of a promotion strategy is to use data mining techniques. The technique used in this case is FP-Growth Algorithm is an alternative algorithm that can be used to determine the most frequent item set in a data set. Research is done by observing some research variables that are often considered by universities, especially the marketing section in determining the promotional target of the last education, the origin of the region, the choice of major and promotion strategy. The result of this research is a suitable promotion strategy to be applied at Victory University Sorong namely advertising, personal selling and publicity. And the most influential is advertising, this can be seen from the amount of the advertising value of 35 transaction from the total sample number of 43 transaction with a significant level 81.40 % of the other dimensions. Personal selling 6 transactions, the effect is 13.95 % a publicity as much as 2 transactions or 4.65 % of the other dimensions.


Data mining, association rules, frequent item set, FP-growth algorithm.


[1] Sujatha Dandu, B.L. Deekshatulu & Priti Chandra.―Improved Algorithm for Frequent Item sets Mining Based on Apriori and FP-Tree. Global Journal of Computer Science and Technology Software & Data Engineering, Volume 13 Issue 2 Version 1.0 Year 2013, Type: Double Blind Peer Reviewed International Research Journal, Publisher: Global Journals Inc. (USA), Online ISSN: 0975-4172 & Print ISSN: 0975-4350.
[2] Abdullah Saad Almalaise Alghamdi. ―Efficient Implementation of FP Growth Algorithm-Data Mining on Medical Data. IJCSNS International Journal of Computer Science and Network Security, Vol.11 No.12, Dec 2011.
[3] Shivam Sidhu, Upendra Kumar Meena, Aditya Nawani, Himanshu Gupta, Narina Thakur. ―FP Growth Algorithm Implementation. International Journal of Computer Applications (0975 – 8887) Vol. 93 – No.8, May 2014.
[4] Bharat Gupta, Dr. Deepak Garg. ―FP-Tree Based Algorithms Analysis: FPGrowth. Bharat Gupta et al. / International Journal on Computer Science and Engineering (IJCSE). ISSN : 0975-3397 Vol. 3 No. 7 Jul 2011.
[5] Aroosa Hameed. ―FP Growth Tree Implementation In Bank Transactional Databases”. ITEE Journal Information Technology & Electrical Engineering, ISSN: - 2306-708X, Vol.5, Issue 3 Jun 2015.
[6] Smita R. Londhe, Rupali A. Mahajan, Bhagyashree J. Bhoyar. ―Overview on Methods for Mining High Utility Itemset from Transactional Database. International Journal of Scientific Engineering and Research (IJSER),, ISSN (Online): 2347-3878, Vol. 1 Issue 4, DEC 2013.
[7] Savi Gupta and Roopal Mamtora. ―A Survey on Association Rule Mining in Market Basket Analysis. International Journal of Information and Computation Technology. ISSN 0974-2239 Vol. 4, No. 4 (2014), pp. 409-414 © International Research Publications House http://www. /ijict.htm.
[8] Loraine Charlet Annie M.C. and Ashok Kumar D. ―Market Basket Analysis for a Supermarket based on Frequent Itemset Mining. IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 5, No 3, Sep 2012, ISSN (Online): 1694- 0814.
[9] Ririanti. ―Implementation of FP-GROWTH Algorithm on Motorcycle Prediction Application (Case Study of PT Pilar Deli Labumas). Pelita Informatika Budi Darma, Vol : VI No: 1, Mar 2014. ISSN : 2301-9425.
[10] Ali Ikhwan, Dicky Nofriansyah, Sriani. ―Implementation of Data Mining with Fp-Growth Algorithm to Support Education Promotion Strategy (Case Study Campus STMIK Triguna Dharma). Jurnal Ilmiah SAINTIKOM, ISSN : 1978-6603, Vol.14, No.3, Sep 2015.
[11] Erwin. ―Market Basket Analysis With Apriori Algorithm and FP-Growth. JURNAL GENERIC, ISSN 1907-4093, Vol. 4 No. 2, Jul 2009.