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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Elkom: Jurnal Elektronika dan Komputer Journal of Information Systems Engineering and Business Intelligence Jurnal Nasional Komputasi dan Teknologi Informasi Technologia: Jurnal Ilmiah Jurnal Atma Inovasia JOINTECOMS (Journal of Information Technology and Computer Science) Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Diteksi : Jurnal Pengabdian Kepada Masyarakat
Septian Geges
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Aerospace Engineering Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Neuroscience Social Sciences Transportation Other

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Sistem Informasi Penjualan Toko Parfum Berbasis Website : (Studi Kasus : Toko Tunam8 Parfum) Geges, Septian; Raihan Luthfiansyah Effendy Ekapatra
Elkom: Jurnal Elektronika dan Komputer Vol. 17 No. 1 (2024): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v17i1.2032

Abstract

This research aims to design a website-based online store by utilizing a recommendation system with content-based filtering. The recommendation system is useful to help buyers get product suggestions that are in accordance with their preferences. The development method used in this research is the Waterfall model with the stages of needs analysis, design, program code generation, and testing. Researchers also use the UML model to help design the system and use the Laravel framework for website development. Based on the results of this study, the online store system designed has benefits for customers, because they can shop anywhere without having to come to the store directly. The recommendation system used also helps customers in choosing perfumes that match their preferences.
Co-Authors Alyura, Ripaldo Anugrah Putra, Putu Bagus Adidyana Ariesta Lestari Bartheli, Exanio Cristivioni, Cristivioni Daniel Swanjaya Efrans Christian Fajar, M Felicia Sylviana Gilbran, Pedroni I Made Bayu Artha Pratama Kristianti, Novera Leonardo, Tomas Nahdiyah, Yuniswatin Nova Noor Kamala Sari Oktaviani Enjela Putri Priskila, Ressa Putra, Putu Bagus Adidyana Anugrah Rahman, Resha Ananda Raihan Luthfiansyah Effendy Ekapatra Ressa Priskila Risky Aswi Ramadhani Singaraca, Mitchel Christian T. Sulistia, Ciola Dwi Vianus, Rezaski Yoan Viktor Handrianus Pranatawijaya Wahono, Aditya Pratama Gusti Widiatry Widiatry, Widiatry Zailami, Firdaus