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All Journal Journal of Public and Business Accounting Prosidia Widya Saintek JAKBS JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Dwi Anggarani
Universitas Widya Gama Malang
Agriculture, Biological Sciences & Forestry Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Transportation

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The Implementation of the apriori algorithm to increase sales of clothing stores based on purchase patterns Khoirul Muhtadin; Dwi Anggarani; Khojanah Hasan; Survival Survival; Anastasia L Maukar; Irfan Faton
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 3 No. 2 (2026): Vol. 3 No. 2 (2026): June
Publisher : Lumina Infinity Academy Foundation

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Abstract

In the growing digital era, retail industries face significant challenges and opportunities. Clothing stores, as one type of retail industry, need to adapt to changes in consumer behavior that are increasingly complex. With the increasing variety of choices and easy access to information, understanding customer purchasing patterns is key to gaining a competitive advantage. Purchasing patterns reflect consumer preferences, not only that but can also reveal something hidden that if analyzed properly, can be utilized for a more effective marketing strategy. By applying a data-driven approach, it is hoped that clothing stores can formulate more targeted marketing strategies, improve customer satisfaction, and ultimately, drive sustainable sales growth. This research approach is exploratory quantitative, which aims to find customer purchase patterns from clothing store transaction data using the Apriori algorithm. The results of data exploration are used to develop data-based sales strategies.
Co-Authors Aida Rohmawati Romadoni Anastasia L Maukar Annisa Sekar Khatulis Tiwi Ayu Wandani Mustika Rahma Baits Nur Endah Puspitosarie Hartini Prasetyaning Pawestri Indah Dewi Nurhayati Irfan Faton Irfan Fatoni JulietaAnta Maulani Khoirul Muhtadin Khojanah Hasan Linda Puspita Dewi Nasharuddin Mas Nuer Aisa Survival Survival Syamsul Bahri Untung Wahyudi Vebiola Puspa Asa Pujangga