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All Journal Jurnal Informatika Jurnal BALIRESO ILKOM Jurnal Ilmiah Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi) Celebes Abdimas: Jurnal Pengabdian Kepada Masyarakat Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Abdidas Indonesian Journal of Data and Science Jurnal Minfo Polgan (JMP) Buletin Sistem Informasi dan Teknologi Islam Ilmu Komputer untuk Masyarakat Bulletin of Social Informatics Theory and Application Celebes Journal of Community Services
Ramdan Satra
Universitas Muslim Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Journal : Jurnal Informatika

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Data Mining Approach to Improve Minimarket Sales using Association Rule Method Harlinda, Harlinda; Satra, Ramdan
Jurnal Informatika Vol 12, No 1 (2025): April
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/inf.v12i1.20835

Abstract

This research aims to provide recommendations for the placement of goods sold by the UMI Faculty of Computer Science mini supermarket. A data mining approach is used to determine the position of sales items between related items. This is done to make it easier for customers to search for items to buy based on the type of item. Another problem is determining the best-selling items and also determining the types of items that will receive promotions. The data mining approach uses association rules with a priori algorithms. Association rule mining is a data analysis technique used to find patterns and relationships in big data. This technique is widely used in business to help optimize marketing and sales strategies. The results of the rule association using an a priori algorithm show that if consumers buy 200 milli of Ultra Milk Slim Chocolate, they also buy 600 milli of LE MINERAL with a support value of 10% and confidence of 60%. This shows that these two items are related when consumers purchase.
Co-Authors Abdul Rachman Abdul Rachman Abdullah, Syahrul Mubarak Adam Ali Abdalla, Modawy Akhyar Abdullah Amal Israk Amran, Ainun RatuBulqis Andani Achmad Ari Bayu Saputra Arief Rachmansyah Arifin, Muh Awal As'ad, Ihwana Busaeri, Siti Rahbiah Dhimas Tribuana Djainuddin, Djainuddin Dolly Indra Erick Irawadi Alwi Erick Irawadi Alwi, Erick Irawadi Fahmi Fahmi Farniwati Fattah Fattah, Farniwati Fattah, Muhammad Hattah Fatwa Hadi Ilham Pamungkas Febryan, Febryan Fitriyani Umar Gaffar, Andi Widya Mufila Haeruddin, Harjuni Harlinda Lahuddin Harlinda, Harlinda Harno Supardin Harno Supardin Hayudin Hasnanda Maila Herman Herman Heru Sukoco Huzain Azis Irfan Irfan Irnawati Irnawati Irwan Ardyansah Iskandar, M. Iqbal Kasman Kasman Konate, Siaka Lahuddin, Harlinda lilis nurhayati Lokapitasari Belluano, Poetri Lestari Lutfi Budi Ilmawan Manga, Abdul Rachman Ming Foey Teng, Ming Foey Moh Zul Fitrah Mokh Sholihul Hadi Mokoagow, Akbar Rizki Mude, Muh. Aliyazid Muh. Aliyazid Mude Muhammad Arfah Asis Muhammad Fajrul Muhammad Fauzan Abdillah Rasyid Nidhom, Ahmad Mursyidun Nur Asri Ainun Gani Nur Indah Nur Indah, Nur Nurlinda Nurlinda, Nurlinda Nurmainna Nurmainna Rahman, Agussalim Rahman, Risna Rahayu Rahmat Suriadi Saiman, La Salawali, Cici Trisnawati Selvi Marcellia Siska Anraeni Sujito Sujito Sulistia Ningsih, Sulistia Syafie, Lukman Syahrul Syahrul Syamsul Arifin Umar Mansyur Usman Usman Uswatun Nurul Hasanah Wahyu Iriansyah Sopamena Wisnu Ananta Kusuma Yasin, Nurfatwa Andriani Yulita Salim Yusuf, Hadi Yuyun, Yuyun Zul Fahmi