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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat JURNAL PENGABDIAN KEPADA MASYARAKAT Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Jurnal Teknologi Dan Sistem Informasi Bisnis JLA (Jurnal Lingua Applicata) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Blend Sains Jurnal Teknik ROUTERS: Jurnal Sistem dan Teknologi Informasi Jurnal Bina Informatika dan Komputer (BINER)
Suseno, Akrim Teguh
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Agriculture, Biological Sciences & Forestry Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Public Health Social Sciences Other

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Market Basket Analysis Using FP-Growth and Apriori on Distro Store Sales Transaction Wulandari, Umi Meganinditya; Suseno, Akrim Teguh; Kholilurrahman, Muhammad
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 17, No 1 (2025): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v17i1.28820

Abstract

Market Basket Analysis analyzes consumer buying habits by finding relationships between items in the consumer's shopping basket. This Market Basket Analysis can provide success to the retail industry with the ability to understand consumer behavior and the speed of response to information obtained by retail business owners. This understanding is the result of an analysis that can help business owners improve marketing and sales strategies while utilizing transaction data. Sales transaction data that has been accumulated so far has only become data warehouses, while large amounts of transaction data can bring major changes to the level of competition in business and business actors in order to survive in the business world. In addition, after the COVID-19 outbreak, Indonesia experienced a slowdown in economic growth of 5.31%. This can be overcome by utilizing Market Basket Analysis to increase sales from their businesses. MBA with the methods used are FP-Growth and Apriori to analyze store transaction data in order to obtain association rules that can be used in improving marketing strategies. This analysis was carried out with 3 scenarios for 3 different minimum support values (1%, 2% and 3%) but the same minimum confidence value of 0.6 (60%). The comparison of the two methods is that 2 out of 3 scenarios produce the same association rule, namely 1 final association rule result with a lift value of 1.42. The three scenario results from both methods can be used by business owners as a consideration in determining sales strategies.
Co-Authors Abdul Razak Naufal Afif, Randi Anjarini, Ary Dwi Devi Astri Nawangnugraeni Fitroh, Qorry Aina Hakim, Mujibul Ibad, Irsyadul Indra Kurniawan Ispaniyah, Ispaniyah Kholilurrahman, Muhammad Kurniasih, Ulfa M. Zakki Abdillah Mahardika, Fajar Merani, Sania Galuh Milzam, Muhammad Mohammad AL AMIN Muna, Naili NAWANGNUGRAENI, DEVI ASTRI Nidaa, Syafiqotun Risal Ngizudin Tyas, Putri Cahyaning Ulfah, Sofia Wulandari, Umi Meganinditya Yani, Ririn Yuli