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Hartanti, Dwi
Universitas Duta Bangsa Surakarta
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Journal : Jurnal Teknik Informatika (JUTIF)

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KNOWLEDGE BASED RECOMMENDATION MODELING FOR CLOTHING PRODUCT SELECTION RECOMMENDATION SYSTEM Vihi Atina; Dwi Hartanti
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.5.584

Abstract

One of the markets which is the largest wholesaler of clothing in Central Java is the Klewer market area and its surroundings. The Simple Inc Store is one of the clothing stores in the area. Simple Inc Store is a large kiosk that sells clothing products in the form of various types of t-shirts, shirts, jackets, sweaters and pants. Sales of products in these stores are still done conventionally, namely customers come directly to the store to choose and buy products. The number of clothing products that are sold makes customers experience difficulties in the process of selecting clothing products. Therefore, it is necessary to develop a recommendation system that can assist customers in choosing clothing products. The purpose of this research is to create a Knowledge Based Recommendation model for the Recommendation System for Selection of Clothing Products. The system development method used in this research is Rapid Application Development (RAD), which consists of stages, namely business modeling, data modeling and process modeling. The recommendation system method used in this research is knowledge based recommendation. Knowledge based recommendation has the advantage of being able to set the level of user priority based on the user's needs for the product by calculating the similarity value between customer needs and clothing product attributes. Knowledge based recommendation modeling for this clothing product selection recommendation system can provide 5 choices of clothing product search attributes, namely brand, price, material, color and size. Based on the results of modeling the knowledge based recommendation method with 20 sample data, it can provide recommendations for clothing products based on the criteria needed by customers by calculating the similarity value between customer needs and the attributes possessed by each clothing product. Clothing products with the highest similarity value will be displayed as a result of clothing product recommendations, namely the highest similarity value of 0.6 is obtained for Maternal t-shirts. The results of this knowledge-based recommendation modeling can be used as a reference in developing a recommendation system for the selection of clothing products.
Co-Authors Adi Tiyas Ahmad Fathoni Afu Ichsan Pradana Alvian Ahmada Akhbar Anjar Setiawan Ardhi Tiya Setiawan Arif Wicaksono Septyanto Atina, Vihi Avianto Adi Pratama Bagas Muttaqi Bagus Adi Nugroho Bagus Irfanzah Arda Nugraha Bayu Tri Pramono Daffa Rizki Putra Noordi Dika Adi Pratama Divangga Revansa Arya Pradhana Dwi Handayani Dwi Kurniawan Saputro Dyah Aprimavista Cahyani Eka Wijanarka Satata Putra Enggar Wijaya Putra Ester Anugrayningtyas Faulinda Ely Nastiti Fitroh Ahmad Abdul Aziz Hanifah Permatasari Hasda Surya Putra Hiskia Kus Setiawan Indah Nofikasari Iqbal Hanan Junaidi Irfan Agus Prastowo Kevin Yoga Ananta Leny Monica Lidia Earlene Rendhiva Lola Sekar Arum Maskhul Ryan Ibrahim Matin Muhith Maulindar, Joni Meraldy Fiko Rastio Ajie Mochammad Naufal Bagaskara Muhamad Daivany Nur Auilya Saleh Muhammad Arizal Yusuf Hermawan Muhammad Nur Ikhsanuddin Nadia Amalia Putri Nanang Setiawan Neha Poetri Setiawati Nurbagus Saputro Praba Milantino A.R.K Pramudya Aziz Wisnuadi Puput Dwi Mandiri Raditya Koesyan Dipo Pramukti Restu Gilang Wijanarko Rifqi Firdausi Arafad Rizki Hendra Kusuma Robi Wariyanto Abdullah Sandy Yustisio Oktaviandra Shelvi Azizah Sopingi Sri Lestari Ummi Kultsum Vincentius Anggarda P.M Wahyu Adi Pratama Yasinta istiqomah Yuda Abi Bagaskara Zariel Ardian Ekovih