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All Journal Conference on Innovation and Application of Science and Technology (CIASTECH) Jurnal Aplikasi Dan Inovasi Ipteks SOLIDITAS Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Empowerment Society Journal of Artificial Intelligence and Digital Business Prosidia Widya Saintek BIMASAKTI E-Amal: Jurnal Pengabdian Kepada Masyarakat JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture
Fatriana Kadir, Shaifany
Universitas Widyagama Malang
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Transportation

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Analysis of Milkshake Beverage Sales using Apriori Algorithm Sujito, Sujito; Idris, Muhammad; Kadir, Shaifany Fatriana; Nurdiyansyah, Firman
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 2 No. 2 (2025): June
Publisher : Lumina Infinity Academy Foundation

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Abstract

This research discusses the application of Data Mining with the Apriori algorithm on milkshake drink sales to support Business Intelligence. The research process includes collecting sales transaction data, forming frequent itemsets, and analyzing association rules using metrics such as support and confidence. The results show that product combinations, such as Chocolate and Strawberry, have high purchase rates with support reaching 75% and confidence up to 75%. These findings provide important insights for business owners in designing more effective marketing strategies, including promotions and stock management optimization. By utilizing the Apriori algorithm, this research successfully identified significant purchase patterns that can drive growth and improve customer satisfaction in the food and beverage industry.
Application of Data Mining with Apriori Algorithm on Furniture Sales to Support Business Intelligence Syamsudin, Mochammad; Nathasia, Novi Dian; Kadir, Shaifany Fatriana
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 2 No. 3 (2025): October
Publisher : Lumina Infinity Academy Foundation

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This study explores the application of Data Mining using the Apriori algorithm in furniture sales to support Business Intelligence. The research process includes collecting weekly transaction data, forming frequent itemsets, analyzing association rules using metrics such as support, confidence, and lift, and integrating the results into business strategies. The findings indicate that tables, wardrobes, and bookshelves have the highest purchase rates at 100%, followed by cabinets at 83.33%, chairs at 91.67%, and sofas at 66.67%. Strongly associated itemsets, such as {Table, Bookshelf} and {Wardrobe, Cabinet}, provide valuable insights for business owners in designing marketing strategies, maintaining stock availability, and enhancing customer satisfaction. Utilizing the Apriori algorithm, this study successfully identifies significant purchasing patterns that can be used to drive sustainable business growth in the furniture industry.
Co-Authors Abdul Wahid Yusran Ahmad Fairuzabadi Akbar, Ismail Baehaqi Dharmayanti Pri Handini Dwi Anggarani Firman Nurdiyansyah Firman Nurdiyansyah, Firman Gunarianto Gunarianto M. Ainul Furkan Mochammad Rivan Satriawan Mochammad Syamsudin, Mochammad Muhammad Idris Mulyono Mulyono Nasharuddin Mas Novi Dian Nathasia Purnomowati, Wiwin Putri, Dewi Rarasati Mustafa Sodik Sujito Sujito SURVIVAL - - Ursaputra, Lionardi Wahju Wulandari Walidaroyani, Ainia