KNOWLEDGE BASED RECOMMENDATION MODELING FOR CLOTHING PRODUCT SELECTION RECOMMENDATION SYSTEM

Vihi Atina; Dwi  Hartanti

doi:10.20884/1.jutif.2022.3.5.584

Vihi Atina Manajemen Informatika, Fakultas Ilmu Komputer, Universitas Duta Bangsa Surakarta, Indonesia
Dwi Hartanti Teknik Informatika, Fakultas Ilmu Komputer, Universitas Duta Bangsa Surakarta, Indonesia

DOI: https://doi.org/10.20884/1.jutif.2022.3.5.584

Keywords: Clothing, Knowledge Based Recommendation, RAD, Recommendation System, Selection

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.

Downloads

Download data is not yet available.

References

I. Aliyah, "Pemahaman konseptual pasar tradisional di perkotaan," Cakra Wisata Jurnal Pariwisata dan Budaya, vol. 18, no. 2, pp. 1-16. Retrieved from https://jurnal.uns.ac.id/cakra-wisata/article/

W. C. Gonta, "Pengaruh Revitalisasi Pasar Terhadap Aktivitas Pedagang Di Pasar Klewer Kota Surakarta," Cakra Wisata, Vol 18 Jilid 2 Tahun 2017 view/34367.

M. H. Sulistyono, "Faktor-Faktor Internal yang Mempengaruhi keberhasilan Usaha Dagang Pedagang Batik Di pasar Klewer Surakarta," WIDYA GANESWARA, VOL.26, No.1, Juli – Desember 2016

Albert. Sistem Informasi Penjualan Pakaian Berbasis Web Pada Target Factory Outlet. Jurnal Ilmu Komputer dan Sistem Informasi Vol 8, No 1 2020

I. Oktaviani dan V. Atina. Rancang Bangun E-commerce Pada UKM Dolanan Bocah Pintar. Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ, Vol. 8 No.1, 61 – 67 2020

A. Rokhim dan A. Saikhu, "Sistem Rekomendasi Buku Pada Aplikasi Perpustakaan Menggunakan Metode Collaborative FilteringPada SMKN 1 Bangil," Jurnal SPIRIT, Vol. 8 No. 2 Nopember 2016, hal 43-46

Irfan, "Sistem Rekomendasi Buku Online dengan Metode Collaborative Filtering," JURNAL TEKNOLOGI TECHNOSCIENTIA, Vol. 7 No. 1 Agustus 2014

E. E. Lavindi, "Aplikasi Hybrid Filtering dan naive bayes Untuk Sistem Rekomendasi Pembelian Laptop," Journal of Information System, Vol. 4, No. 1, Mei 2019, hlm. 54-64

Aryani, "Perancangan Sistem Rekomendasi Pemilihan Cideramata Khas Bengkulu Berbasis E-marketplace," Jurnal Rekursif, Vol. 7 No. 1 Maret 2019, ISSN 2303-0755

R. Dewantara,"Penerapan Algoritma Association Rule Pada Sistem Rekomendasi untuk Menunjang Pemasaran Hasil Pertanian,"Jurnal Algoritma, Vol. 17; No. 01; 2020; Hal 147-154

L. Tommy, "Recommender System Dengan Kombinasi Apriori Dan ContentBased Filtering Pada Aplikasi Pemesanan Produk," Register: Jurnal TeknoInfo, Vol.13, No. 2.

S. Rahmawati, "Analisis dan Implementasi pendekatan Hybrid untuk Sistem Rekomendasi dengan Metode Knowledge Based Recommender System dan Collaborative Filtering," Ind. Journal on Computing, Vol. 3, Issue. 2, Sept 2018. pp. 11-20

A. Simangunsong, "Analisa dan Implementasi Metode Knowledge Based Recommendation Dalam Penerimaan Karyawan," Journal of Computer Networks, Architecture and High Performance Computing e-ISSN 2655-9102, Volume 1, No. 1, Januari 2019, pp 38-40

Julia and Thomas, "Design of a Knowledge Based Recommender System for Recipes from an End-User Perpective," Proceedings MuC'21 : Mensch und Computer 2021. September 2021 Pages 512-519

F. Ricci, L.Rokach, D.Shapira dan B.P.Kantor, "Recommender Systems Handbook", Springer, 1st ed, 2011.

N. K. Faizal, "Strategi Pemasaran produk Pekaian dengan Sistem Online dan Offline di Toko Bibishop Grosir Nganjuk," Journal Simki-Economic, vol. 02 No. 06 Tahun 2018

R. Delima. "Development of Dutatani Website Using Rapid Application Development," IJITEE, Vol. 1, No. 2, June 2017

Ariyadi, "Sosial Media Sarana Promosi Pada Pedagang Pakaian Di Pasar Sudimampir Banjarmasin," JURNAL TRANSFORMATIF, Vol. 3, No. 1 April 2019

B. Kadmiel, L. E. Nugroho, dan S. Fauziati, "Implementasi Case Based Reasoning Untuk Menentukan Tujuan wisata," Prosiding SNST ke-7 Tahun 2016, Fakultas Teknik Universitas Wahid Hasyim Semarang

S. Wijaya, A. Andhika dan M. Ilyas. Development Of Sales Information System For SME With Rhe waterfall Method : A Grocery Store BSR Case. Jurnal Teknik Informatika (JUTIF), vol. 3, No. 4, Agustus 2022, hlm. 1043-1050.