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All Journal Pixel : Jurnal Ilmiah Komputer Grafis Elkom: Jurnal Elektronika dan Komputer IJIS - Indonesian Journal On Information System Sebatik KOMPUTEK AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Pengabdian Masyarakat Indonesia Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer (JURITEK) Jurnal Ilmu Kesehatan Masyarakat (The Public Health Science Journal)
Fathia Frazna Az-Zahra
Universitas Muhammadiayah Sukabumi
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Health Professions Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences

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Journal : Pixel : Jurnal Ilmiah Komputer Grafis

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Implementasi Algoritma Apriori Pada Sistem Rekomendasi Produk Rameiki Mart Agung Bimantara Putra; Didik Indrayana; Fathia Frazna Az-Zahra
Pixel :Jurnal Ilmiah Komputer Grafis Vol 15 No 2 (2022): Vol 15 No 2 (2022): Jurnal Ilmiah Komputer Grafis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v15i2.845

Abstract

ABSTRACT The rapid development of technology has a very large effect in various fields. One of them is in the field of buying and selling business, which is getting higher and higher competition between business actors. One of the strategies to increase sales is to implement a recommendation for goods, but from the various categories of goods in the store, there are products that are not in demand by customers, so that if left alone, the products that are not in demand will not sell well and will make the accumulation of goods in the store, in addition to that with the many categories, it makes some customers confused to choose products that suit their wishes buyer. Therefore, the author conducts an assessment first by conducting a literature study, which finally the purpose of this study is to make it easier for users and business owners to recommend goods in the store and determine the desired product by implementing a recommendation system on the Rameiki Mart Store website which is taken from the amount of data, this is also beneficial for store owners because the existence of this recommendation system can help as a means of product promotion , as well as in recommendations for the purchase of goods. In this study, the researcher created a recommendation system using the a priori algorithm method.
Co-Authors Adif, Mochamad Hanivan Agung Bimantara Putra Amir Hamzah Anadella, Shakira Ananda, Rizkia Wahyu Arliansyah, Tanaya Salsabila Asriyanik . Dayana, Resti Dwi Didik Indrayana Erna Safariyah Fadhil Faizal Akbar Faiz, Aiman Febriani, Rani Gagas Abdul Yasir iqbal setiawan Irawan Danismaya Iwan Rizal Setiawan Maulidia, Reiza Nisrina, Khansa Nurmeta, Irna Oktaviana, Marcella Permana, Restu Gede Rahayu, Eneng Robial, Siti Muawanah Suganda , Siti Anisa Winda Apriandari