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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Transformasi: Jurnal Pengabdian Masyarakat Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Teknoinfo Matrik : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Informatika dan Rekayasa Elektronik Jurnal Pengabdian UNDIKMA Jurnal Informatika dan Teknologi Komputer ( J-ICOM) ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Riset, Ekonomi, Akuntansi dan Perpajakan (REKAN) International Journal of Engineering and Computer Science Applications (IJECSA) Seminar Ilmiah Nasional Teknologi, Sains, dan Sosial Humaniora (SINTESA) Seminar Nasional Aplikasi Iptek (SINAPTEK) Journal of Information Systems Management and Digital Business Jurnal Karya untuk Masyarakat (JKuM)
Ismarmiaty
Universitas Bumigora
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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Journal : Journal of Information Systems Management and Digital Business

 1 
ANALISA POLA PEMBELIAN PRODUK DENGAN MENGGUNAKAN METODE FP-GROWTH PADA TOKO HERON Muhammad Aldi Zarkashy; Ismarmiaty Ismarmiaty; Ria Rismayati
Journal of Information Systems Management and Digital Business Vol. 1 No. 2 (2024): Januari
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jismdb.v1i2.312

Abstract

Technological developments have had an impact on all activities including retail business. Utilization of managed data can provide information that can be used to improve the quality and effectiveness of buying and selling business activities. One of the patterns analyzed in the retail business sector is the pattern of product sales linkages using association algorithms in data mining using the FP-Growth algorithm. The aim of this research is to find association patterns in purchasing behavior at Heron stores to help make policies in better product inventory management and also increase sales and product promotions at Heron stores. This research uses applied research methods with stages of Data Collection and Preparation, Application of the FP-Growth Method, Testing Results and Conclusions. The conclusion of this research is that the results of pattern analysis provide 13 rules in accordance with minimum support, minimum confidence and minimum lift ratio as strong rules and are expected to help and support decisions from the Heron store. This also has a positive impact on the benefits of technology which can provide information from sales archive data that can be used to improve service and sales in retail businesses, especially at Heron stores.
Co-Authors . Apriani Adam Bachtiar Maulachela Aditya Rizky Ahmad Zuli Amrullah Apriani Apriani Daffa ilyas Al Faras Desventri Etmy desventri etmy Diah Supatmawati Diah Supatmiwati Dyah Supatmiwati Dyah Susilowati Gayatri Ramadhani Hilda Hastuti Kartarina, Kartarina La Dzunnafi Arridlwany Maria Nuzurana Asti Miftahul Madani Muhammad Aldi Zarkashy Ni Gusti Ayu Dasriani Ni Gusti Ayu Dasriani Ni Ketut Sriwinarti Ni Luh Putu Merawati Ni Luh Putu Merawati Putu Okta Travelian Pahrul Irfan Ria Rismayati Rizal, Ahmad Ashril Sandi Justitia Putra Sandi Justitia Putra Syahroni Hidayat Uswatun Hasanah Wahyu Kamil Syarifaturrahman Wiya Suktiningsih Zainuddin