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All Journal Indonesian Journal of Electronics and Instrumentation Systems IJCCS (Indonesian Journal of Computing and Cybernetics Systems) MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Journal Industrial Servicess Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika Format : Jurnal Imiah Teknik Informatika Tech-E Jurnal TAM (Technology Acceptance Model) Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat bit-Tech Algor Jurnal Sistem Informasi dan Bisnis Cerdas Inovasi Gagasan Abdimas & Kuliah Kerja Nyata
Benny Daniawan
Universitas Buddhi Dharma
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Transportation Other

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Talent Development Center Recommendation System Using Content-Based Filtering Maysha Permata Putri; Benny Daniawan
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 18, No 1 (2026): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v18i1.32816

Abstract

The development of digital technology has led to increased gadget usage among children, often resulting in a decline in interest in productive physical and social activities. The Indonesian Child Protection Commission reported that over 71.3% of school-age children using gadgets daily. This condition highlights the need for efforts to redirect children's attention toward more beneficial activities, one of which is talent development. Early talent development is crucial for supporting personal potential and future career paths. 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 system that can provide talent development center recommendations for seekers. By implementing the Content-Based Filtering (CBF) method, the system matches user preferences—such as interests, skills, and preferred types of activities expressed in keywords—with the descriptions of available talent development center. Weighting is carried out using 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. The testing conducted in this study, using 7 sample talent development places, resulted in 5 recommendations with the top recommendation being Chic’s Musik, which had the highest TF-IDF value of 1.9029.Index Terms— Content-Based Filtering, Recommendation System, TF-IDF, Talent Development
Co-Authors Abidin Abidin Abidin Abidin Aditiya Hermawan Amat Basri Andri Wijaya Ardiane Rossi Kurniawan Maranto ardie halim wijaya Ardie Wijaya Audrey Valencia Wijaya Darmayana Putra Dedi Wijaya Dellih Wijaya Desiyanna Lasut Deviastati Putri Sugiarta Karlim Devita Amalia Pertiwi Diana Juniar Edy Edy Eva Eva Fennita Fennita Fernaldi Makmur Gesima Angel Sirait Hebert Lou Wenson Irvan Rahul Ramadika Jacob Dethan Jacob Febryadi Nithanel Dethan Joese Nathaniel Junaedi Kevin Kurniawan Leona Fandini Luis Alberto Maichel Ruby Julianto Maysha Permata Putri Nanda Aristantiyo Meylinda Rainaldo Diogenes Susilo Ramona Safitri Rino Rino Riscal Arifin Rudy Arijanto Susanto Hariyanto Suwitno Suwitno Suwitno Tugiman Tugiman Vanni Andriana Vira Oktaviani Wijaya Wiyono Yakub Yuki Gunawan