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All Journal Jurnal Riset Informatika JEES: Journal of English Educational Study G-Tech : Jurnal Teknologi Terapan Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Frasa: English Education and Literature Journal LACULTOUR: Journal of Language and Cultural Tourism Jurnal Pengabdian West Science Journal Of Artificial Intelligence And Software Engineering Digulis: Jurnal Pengabdian Pada Masyarakat Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Anindhiasti Ayu Kusuma Asri
Universitas Duta Bangsa Surakarta
Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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Journal : Jurnal Riset Informatika

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KNOWLEDGE-BASED HIJAB PRODUCT SELECTION RECOMMENDATION SYSTEM AT CANDY SCARVES Nur Rohmani, Mayda; Hartanti, Dwi; Ayu Kusuma Asri, Anindhiasti
Jurnal Riset Informatika Vol. 7 No. 3 (2025): Juni 2025
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1835.21 KB) | DOI: 10.34288/jri.v7i3.377

Abstract

The primary objective of this study is to construct a knowledge-driven hijab product selection recommendation system for Candy Scarves. This system is designed to help customers find hijabs that match their criteria by utilizing customer characteristics and product attributes. The study uses a knowledge-based recommendation approach supported by case-based techniques. The construction of the system is orchestrated through the application of the Rapid Application Development (RAD) paradigm, encompassing a sequence of iterative stages—ranging from requirement formulation and architectural design to accelerated prototyping and eventual deployment—thus privileging adaptability and user-centered refinement over linear progression. Data modeling using sample data totaling 25 hijab products and 6 attributes. The system provides recommendations based on criteria for hijab models, materials, hijab colors, skin colors, motifs, and prices. The empirical findings reveal that the hijab item exhibiting the utmost degree of similarity is the Umama Hijab with voal material, mocha hijab color, brown skin color, and plain motifs with a result of 0.90303. The results of this analysis are able to provide personal recommendations effectively and have the potential to increase customer satisfaction and product sales.
Co-Authors Afu Ichsan Pradana Agustina Purwatiningsih Agustina Srirahayu Akbar Syarif Pratama Putra Dwi Hartanti Elia Hari Prasetya Evania Putri Setianingsih Kalyana Safira Sarah Darmawan Marginingsih Marginingsih Muhtarom, Moh Nur Rohmani, Mayda Pineda Prima Yoga Purbasari, Dita Anggi Rhemadanu, Andreas Rudi Susanto Safitri, Isnaini Nur Salindri, Anistya Ori Sugiarto, Muhammad Aqsha Rizki Susianti, Hartanti Woro Winarti Yusawinur Barella