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All Journal DAR EL-ILMI : Jurnal Studi Keagamaan, Pendidikan dan Humaniora SYARIATI : Jurnal Studi Al-Qur'an dan Hukum MAQASHID : Jurnal Hukum Islam Ikhtisar: Jurnal Pengetahuan Islam Ta'dib: Jurnal Ilmiah Pendidikan dan Peradaban Islam QiST: Journal of Quran and Tafseer Studies Al-Fahmu: Jurnal Ilmu Al-Qur'an dan Tafsir Setyaki : Jurnal Studi Keagamaan Islam Jurnal Pengabdian Masyarakat El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Jurnal Syaikh Mudo Madlawan Qaf : Jurnal Ilmu Al-Qur'an dan Tafsir JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture Pengabdian: Jurnal Abdimas
Khoirul Muhtadin
Institut As-Syifa Subang
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Physics Social Sciences Other

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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 Abdul Rohman Abdul Rohman Ahmad Fathoni Ahmad Fathoni Ahmad Zuhdi Amin Amin Amin Amin Anastasia L Maukar Aqdi, Hifdi Salimatul Asep Warnudin Asep Warnudin Dwi Anggarani Ela Sartika Ela Sartika Fawwaz, M Ikhwan Ansori Irfan Faton Khojanah Hasan Mohammad Iqbal Muadzin Mukrimun, Amin Mustofa Kamal, Muhammad Ali Nurcholisho, Lilik Rochmad Permatasari, Oktaviani Pranata, Sofyan Puji Serli Ratna Sari Soffan Rizqi Suhairi Survival Survival Wahyudi Wahyudi Wahyudi Wahyudi