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All Journal Jurnal Ilmiah Teknologi dan Rekayasa Basis Data CommIT (Communication & Information Technology) TEKNOLOGI INFORMASI Jurnal Informatika Jurnal Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Information Technology and Computer Science (JOINTECS) JURNAL MEDIA INFORMATIKA BUDIDARMA J I M P - Jurnal Informatika Merdeka Pasuruan Jurnal Masyarakat Merdeka (JMM) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Journal of Information System, Applied, Management, Accounting and Research Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Media Jurnal Informatika Jurnal Sistem Informasi dan Manajemen Jurnal Sistem Informasi dan Teknologi Informasi JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture
Novi Dian Nathasia
Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Other

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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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Abstract

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 Abdullah, Mohammad Aldinugroho Agustin, Ririn - ALDI, FACHRI ALHADI RAMADHAN Andri Fauzan Antika, Nayta Gustin Ardhi, Agil Zaky Aziz, Siti Nur Farrah Budiman, Ismail Mulya Cian Ramadhona Hassolthine Delles Lesmana Fatriana Kadir, Shaifany Fauziah Fauziah Fikri Iqromuddin Fitri, Iskandar - Hakiki, M Irsyad Handini, Mia Irmawati Irmawati Irsandi, Johar Saputra Irshandy, Daffa Setyo Iskandar - Fitri Iskandar Fitri Iskandar Fitri Iskandar Fitri, Iskandar Komala Sari, Ratih Titi Lesmana, Delles M. Iwan Wahyuddin Ma’arif, Ridwan Ahmad Mochammad Syamsudin, Mochammad Muhammad Zarlis, Muhammad Negara, Bagas Satria Noviandri, Noviandri Nur Hayati Purnama, Ari Purnomo Sidi Priambodo Rahman, Iradah Ratih Titi Komala Sari, Ratih Titi Komala Ririn - Agustin Rosaleen, Hana Gracia Saputra, Tri Ichsan Sari Ningsih Sugangga, Rayyan Toto Himawan Ucuk Darusalam Wahyudi, Gilang Romi Wandi, Dede Wardana, Adi Agungkusuma Winarsih Winarsih