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All Journal Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Tekno Kompak Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Abdimas Ilmiah Citra Bakti (JAICB) ABSYARA: Jurnal Pengabdian Pada Masyarakat Indonesian Collaboration Journal of Community Services (ICJCS) CSRID DIPANEGARA KOMPUTER TEKNOLOGI INFORMATIKA (DIPAKOMTI)
Sunardi Sunardi
Universitas Dipa Makassar, Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Social Sciences Other

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Implementasi Algoritma Apriori Pada Aplikasi Penjualan Buah Berbasis Web Indra Irawan; Sunardi; Sitti Harlina
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.2971

Abstract

This research aims to implement the Apriori algorithm in a web-based fruit sales application to discover consumer purchasing patterns and provide appropriate product recommendations. The dataset used consists of 10 fruit sales transactions. The fruit sales transaction data is then analyzed using the Apriori algorithm to identify frequently purchased product combinations. The analysis results are then used to provide accurate product recommendations to customers. Implementation is carried out by calculating the support, confidence, and lift ratio values for each product combination based on transaction data. Association rules with a support value of 30% and confidence of 60% found sweet fragrant mango, murcot australian orange, and fuji88 apple, which are then used to provide recommendations to relevant customers. This research aims to improve product recommendation accuracy, customer satisfaction, and overall sales efficiency in the fruit sales industry.
Co-Authors Akbar Bahtiar Andi Asvin Mahersatillah Suradi Arwansyah Asrul Syam Baharuddin Baharuddin Clara Falisha Suardi Cucut Susanto Cucut Susanto Djafar, Imran Erfan Hasmin Faizal Faizal Harlina, Sitti Hasyrif SY Heriadi Heriadi Indra Irawan Joseph Tumiwa Madyana Patasik Magfirah Magfirah Marsa Marsa Muh. Khaddafi Muhammad Abdul Jabbar Muhammad Fiqar Ramadhan Muhammad Furqan Rasyid Muhammad Nurramadhan Naldi Ahmad Nur Patty Nasaruddin Nasaruddin Novita Sambo Layuk Nurdiansah Nurul Aini Rahmatina Rahman Rensa Kendek Sadly Syamsuddin Sadly Syamsuddin Samsie, Indra Sitti Aisa Sriwahyuningsi Piu Taufik Zulhaq Jasman Usman Vivi La Arhama Sangadji Wenni Sonya Astrina Wilem Musu