Talent Development Center Recommendation System Using Content-Based Filtering

Putri, Maysha Permata and Daniawan, Benny Talent Development Center Recommendation System Using Content-Based Filtering. MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi, 18 (1). pp. 24-29. ISSN 2477-2550

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Abstract

The development of digital technology has led to increased gadget usage among children. This condition highlights the need for efforts to divert children's attention toward more beneficial activities, one of which is talent development. However, limited information often becomes an obstacle in choosing the right place for talent development that suits an individual's needs and interests. This study aims to design a talent development center recommendation system by implementing the Content-Based Filtering (CBF) method, combined with the Term Frequency–Inverse Document Frequency (TF-IDF) algorithm to enhance the relevance of the recommendations by calculating the similarity level between talent development center descriptions based on keyword weights. This approach allows the system to provide more personalized recommendations without relying on other users data, especially in cases of minimal or unavailable data (cold-start). The testing conducted in this study, using 7 sample talent development centers, resulted in 5 recommendations with the top recommendation being Chic’s Musik, which had the highest TF-IDF value of 1.9029, indicating the most suitable level of similarity between the description and user preferences. The system developed in this study has great potential in helping parents and individuals find suitable talent development centers more quickly, objectively, and according to their needs

Item Type:	Article
Uncontrolled Keywords:	Content-Based Filtering, Recommendation System, TF-IDF, Talent Development
Subjects:	000 Karya Umum > 006 Metode Komputer Tertentu > 006.242 Kode Bar > 006.3 Kecerdasan Buatan 000 Karya Umum > 006 Metode Komputer Tertentu > 006.3 Kecerdasan Buatan
Divisions:	Fakultas Sains & Teknologi > Sistem Informasi
Depositing User:	Hariyanto Rie
Date Deposited:	01 Sep 2026 07:25
Last Modified:	01 Sep 2026 07:25
URI:	https://repositori.buddhidharma.ac.id//id/eprint/3517

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