• Vihi Atina Duta Bangsa University
  • Dwi Hartanti Universitas Duta Bangsa Surakarta



clothing, knowledge, RAD, recommendations, system


The market which is the largest wholesaler of clothing in Central Java is the Klewer market area and its surroundings. One of the clothing stores in the area is the Simple Inc Store. Simple Inc Store is a large kiosk that sells clothing products in the form of various types of shirts, t-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 study is to build a Recommendation System for Selection of Clothing Products by applying the Knowledge Based Recommendation method. The research method used in this research is Rapid Application Development (RAD) which consists of 5 stages, namely Business Modeling, Data Modeling, Process Modeling, Application Generation, and Testing. 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. Knowledge based recommendation on the recommendation system for the selection of clothing products can provide 5 choices of search attributes for clothing products, namely brand, price, material, color and size. clothing product selection recommendation system can display clothing product information, perform clothing searches based on customer needs based on a choice of 5 attributes and can display clothing product recommendations. Clothing products with the highest similarity value are displayed as clothing product recommendations. The results of the system testing using the blackbox testing method show that the functions in the recommendation system for selecting clothing products have successfully run as expected.


Aliyah, I. (2017). Conceptual understanding of traditional markets in urban areas. Chakra Travel Journal of Tourism and Culture, 18(2), 1-16. Retrieved from


Gonta, WC (2017). The Effect of Market Revitalization on Traders' Activities in the Market Klewer Surakarta City. Cakra Wisata Vol 18 Volume 2 Year 2017 view/34367

Sulistyono, MH (2016). Internal Factors Affecting Business Success Batik Traders in Klewer market, Surakarta. WIDYA GANESWARA, VOL.26, No.1, July – December 2016

Faizal, NK (2018). Marketing Strategy for Pekaian products with Online and Offline Systems at the Nganjuk Wholesale Bibishop Store. Journal Simki-Economic Vol. 02 No. 06 Year 2018

Ariyadi. 2019. Social Media Promotion Means for Clothing Traders at the Sudimampir Market, Banjarmasin. TRANSFORMATION JOURNAL Vol. 3, No. April 1, 2019

Albert, et al. (2020). Web-Based Apparel Sales Information System At Target Factory Outlets. Journal of Computer Science and Information Systems Vol 8, No 1 (2020)

Oktaviani, I. and Atina, V. (2020). Design and Build E-commerce for SMEs Dolanan

Smart Boy. Journal of Research and Community Service

Larasati, FBA and Februaryyant. (2021). Emina Cosmetics Product Recommendation System by Using Content Based Filtering Method. Journal of Information Management &

Information Systems. Volume 4, No. 1, January 2021

Rokhim, A. and Saikhu, A. (2016). Book Recommendation System in Library Application Using Collaborative Filtering Method at SMKN 1 Bangil. SPIRIT Journal Vol. 8 No. November 2, 2016, pp. 43-46

Irfan, et al. (2014). Online Book Recommendation System with Collaborative Method


Lavindi, EE, et al. (2019). Hybrid Filtering and Naive Bayes Applications For Systems

Laptop Purchase Recommendations. Journal of Information Systems Vol. 4, No. 1, May 2019, p. 54-64

Aryani, et al. (2019). Design of a Special Souvenir Selection Recommendation System

Bengkulu Based on E-marketplace. Recursive Journal, Vol. 7 No. March 1, 2019, ISSN 2303-

Dewantara, R., et al. (2020). Application of the Association Rule Algorithm on the System Recommendations to Support Agricultural Product Marketing. Journal of Algorithms Vol. 17; No. 01; 2020; Pg 147-154

Tommy, L., et al. (2019). Recommender System With A Priori Combination And ContentBased Filtering in Product Ordering Applications. Register: TeknoInfo Journal –

Vol.13, No. 2.

Rahmawati, S., et al. (2018). Analysis and Implementation of Hybrid Approach for Systems Recommendations with Knowledge Based Recommender System and Collaborative Filtering Methods. eng. Journal on Computing Vol. 3, Issues. 2, Sept 2018. pp. 11-20

Julia and Thomas. (2021). Design of a Knowledge Based Recommender System for

Recipes from an End-User Perspective. Proceedings MuC'21 : Mensch und Computer

September 2021 Pages 512-519

Ricci F., Rokach L., Shapira D., BP Office, 2011, Recommender Systems Handbook,

Springer (2011), 1st ed.

Simangunsong, A. (2019). Analysis and Implementation of Knowledge Based Method

Recommendation in Recruitment of Employees. Journal of Computer Networks,

Architecture and High Performance Computing e-ISSN 2655-9102, Volume 1, No. 1,

January 2019, pp 38-40

Pomegranate, R. at al. (2017). Development of Dutatani Website Using Rapid Application Development. IJITEE, Vol. 1, No. 2, June 2017

Irnawati, O. and Listianto, GBA (2018). Rapid Application Development Method (RAD) on Website Inventory Design of PT. MEANS OF ETERNAL PROSPERITY TOGETHER (SAMB) JAKARTA. Journal of Evolution Volume 6 Number 2 - 2018.

Kadmiel, B., Nugroho, LE, and Fauziati, S. (2016). "Implementation of Case Based Reasoning to Determine Tourist Destinations," Proceedings of the 7th SNST 2016, Faculty of Engineering, Wahid Hasyim University Semarang