Published: 2023-12-30
Increasing Product Promotion by Implementing Association Rules in The Web-Based Second_Oldshoes Store Sales System
DOI: 10.35870/ijsecs.v3i3.1939
Maria Sri Wulandari, Rahayu Noveandini, Fuadi Ahmad Dahlan
- Maria Sri Wulandari: STMIK Jakarta STI&K , Indonesia
- Rahayu Noveandini: STMIK Jakarta STI&K , Indonesia
- Fuadi Ahmad Dahlan: STMIK Jakarta STI&K , Indonesia
Article Metrics
- Views 0
- Downloads 0
- Scopus Citations
- Google Scholar
- Crossref Citations
- Semantic Scholar
- DataCite Metrics
-
If the link doesn't work, copy the DOI or article title for manual search (API Maintenance).
Abstract
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.
Keywords
Promotion ; Sales System ; Association Rule ; Web Based
Article Metadata
Peer Review Process
This article has undergone a double-blind peer review process to ensure quality and impartiality.
Indexing Information
Discover where this journal is indexed at our indexing page to understand its reach and credibility.
Open Science Badges
This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges by sharing data, materials, or preregistered studies.
How to Cite
Article Information
This article has been peer-reviewed and published in the International Journal Software Engineering and Computer Science (IJSECS). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
-
Issue: Vol. 3 No. 3 (2023)
-
Section: Articles
-
Published: %750 %e, %2023
-
License: CC BY 4.0
-
Copyright: © 2023 Authors
-
DOI: 10.35870/ijsecs.v3i3.1939
AI Research Hub
This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.
Maria Sri Wulandari
Information Systems Study Program, STMIK Jakarta STI&K, South Jakarta City, Special Capital Region of Jakarta, Indonesia
Rahayu Noveandini
Information Systems Study Program, STMIK Jakarta STI&K, South Jakarta City, Special Capital Region of Jakarta, Indonesia
-
-
-
-
-
-
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.
-
-
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.

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.