Article Per Year (5 Year)
p-Index From 2021 - 2026
3.138
P-Index
This Author published in this journals
All Journal Conference on Innovation and Application of Science and Technology (CIASTECH) JAST : Jurnal Aplikasi Sains dan Teknologi Jurnal Aplikasi Dan Inovasi Ipteks SOLIDITAS Jurnal PTI (Jurnal Pendidikan Teknologi Informasi) Buletin Abdi Masyarakat (BAM) Prosidia Widya Saintek Abadi: Jurnal Ahmad Dahlan Mengabdi Journal of Language Intelligence and Culture Jurnal Pengabdian Nasional (JPN) Indonesia Marsialapari: Jurnal Pengabdian Kepada Masyarakat Jurnal Cendekia Ilmiah JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture
Niken Paramita
Universitas Widyagama Malang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Transportation Other

Published : 18 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Purchase Pattern Analysis on Komol Kopi Transaction Data Using Apriori Algorithm Pratama, Dafa Septian Putra; Praseptiawan, Mugi; Paramita, Niken
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 2 No. 3 (2025): October
Publisher : Lumina Infinity Academy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aims to analyze purchasing patterns in Komol Kopi transaction data using the Apriori algorithm. This algorithm enables the discovery of relationships between items in large datasets that can be used to support business decisions, such as bundling promotions and inventory management. The dataset includes 12 transactions with various combinations of items, such as Kopi Hitam, Kopi Tubruk, and Nasi Telur. The analysis results show some significant purchase patterns with high support, confidence, and lift values. An example of an association found is between Kopi Hitam and Es Teh, which provides insights for more effective marketing strategies. This study confirms that the Apriori algorithm is an efficient tool in unearthing purchasing patterns, providing a solid foundation for the development of data-driven business strategies. Further research can integrate this analysis with recommendation systems to improve customer experience.
Co-Authors Aini, Fica Aida Nadhifatul Alimin Alimin, Alimin Ana Sopanah, Ana Ana, Selvia Roos Arie Restu Wardhani Arie Restu Wardhani Arief Rizki Fadhillah Aura Chaerani Ayu Liskinasih Choirul Anam Daiva Permana Dwi Nita Aryani Efendi , Erfan Fatikah, Nur Fitri Marissa Hanif Rani Iswari Hasean, Regina Berliane Febe Istiadi Iswardani, Kurnia Iwan Nugroho Khojanah Hasan Muhammad Mahesa Ramadhan Muhammad Yusuf Ardiansyah Negara, Purnawan D Nurhana, Riza Prambayu Candra Kirana Praseptiawan, Mugi Pratama, Dafa Septian Putra Rahayu Puji Suci Rangga Pahlevi Putra Rita Hanafie Sampurna, Riza Adi Serifika Setia Soeparto Sudiyono Sudiyono Suhartatik Sujono, Adiloka Sulih Indra Dewi, Sulih Indra SURVIVAL - - Suwarta Suwarta Syamsul Bahri Tarra, Mustika Teguh Widodo Widiya Rahmawati Wiwin Purnomowati Yuniar, Hefifa Rhesa Zusana E. Pudyastuti