Increasing Product Promotion by Implementing Association Rules in The Web-Based Second_Oldshoes Store Sales System
DOI:
https://doi.org/10.35870/ijsecs.v3i3.1939Keywords:
Promotion, Sales System, Association Rule, Web BasedAbstract
Promotion is one of the efforts that can be made to maximize profits. Currently, there are various techniques and models for promoting products, both through social media and advertising systems. To get optimal promotional results, it is necessary to calculate the level of customer attraction to a product being offered. The second_oldshoes shop is an original second-hand shoe shop, currently the second_oldshoes shop does not have media to promote its products. The application of association rules in the system is used to display the associative value of each product that a customer buys so that a pattern is formed of the products that are often purchased by each customer. So, it can be used as a basis for decisions in determining suitable products to promote to each customer. The design of this web-based sales system uses Navigation Structure and Unified Modeling Language (UML). Creating a system using the HTML, PHP, CSS, JavaScript, MySQL, and Bootstrap programming languages as a framework.
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References
Maydianto, M., 2021. Rancang Bangun Sistem Informasi Point of Sale Dengan Framework Codeigniter Pada Cv Powershop (Thesis, Prodi Sistem Informasi).
Maulidah, A. and Bachtiar, F.A., 2021. Penerapan Metode Association Rule Mining untuk Asosiasi Ulasan Terhadap Aspek Tempat Wisata Jawa Timur Park 3. Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), 8(5).
Nistrina, K. and Sahidah, L., 2022. Unified Modelling Language (Uml) Untuk Perancangan Sistem Informasi Penerimaan Siswa Baru Di Smk Marga Insan Kamil. J-SIKA| Jurnal Sistem Informasi Karya Anak Bangsa, 4(1), pp.17-23.
Hidayah, A. and Yani, A., 2019. Membangun Website SMA PGRI Gunung Raya Ranau Menggunakan PHP Dan MYSQL. JTIM: Jurnal Teknik Informatika Mahakarya, 2(2), pp.41-52. .
Sari, A.O, 2019. Web Programing, GRAHA ILMU, Yogyakarta.
Cholifah, W.N., Yulianingsih, Y. and Sagita, S.M., 2018. Pengujian black box testing pada aplikasi action & strategy berbasis android dengan teknologi phonegap. STRING (Satuan Tulisan Riset dan Inovasi Teknologi), 3(2), pp.206-210. DOI: http://dx.doi.org/10.30998/string.v3i2.3048.
Zulfikar, W.B., Wahana, A., Uriawan, W. and Lukman, N., 2016, April. Implementation of association rules with apriori algorithm for increasing the quality of promotion. In 2016 4th International Conference on Cyber and IT Service Management (pp. 1-5). IEEE. DOI: https://doi.org/10.1109/CITSM.2016.7577586.
Ananda, I., Salamah, U. and Umniy, 2020. Determination Of Sales Data Patterns Using The Association Rules Apriori Method. International Journal Information System and Computer Science.
Suchacka, G. and Chodak, G., 2017. Using association rules to assess purchase probability in online stores. Information Systems and e-Business Management, 15, pp.751-780. DOI: https://doi.org/10.1007/s10257-016-0329-4.
Chiang, W.Y., 2011. To mine association rules of customer values via a data mining procedure with improved model: An empirical case study. Expert Systems with Applications, 38(3), pp.1716-1722. DOI: https://doi.org/10.1016/j.eswa.2010.07.097.
Tarigan, W., Thamrin, T., Sembiring, L., Sembiring, I., Silalahi, H. and Sihaloho, T.P., 2021. FP_Tree ASSOCIATION RULE MINING ECOMMERCE PRODUCT ADVERTISING EFFORTS TO IMPROVE PRODUCT BRAND SALES STRATEGY TO SUPPORT ECOMMERCE BUSINESS IN INDONESIA. International Journal of Social Science, 1(3), pp.225-232. DOI: https://doi.org/10.53625/ijss.v1i3.415.
Chen, A.H.L. and Gunawan, S., 2023. Enhancing Retail Transactions: A Data-Driven Recommendation Using Modified RFM Analysis and Association Rules Mining. Applied Sciences, 13(18), p.10057. DOI: https://doi.org/10.3390/app131810057.
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