Modeling Of Centralized Exchange (CEX) Crypto Asset Platform Recommendation System Using Collaborative Filtering

Diva Reihan Ferdian Utomo, Faulinda Ely Nastiti, Fajar Suryani

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The rapid growth of crypto assets and the variety of Centralized Exchange (CEX) platforms make it difficult for traders to choose a platform that fits their preferences. This research aims to model a recommendation system for CEX platforms using Collaborative Filtering. User rating data for several CEX (Binance, Bybit, Bitget, Tokocrypto, Indodax) were collected via questionnaire. The K-Nearest Neighbors With Means (KNN With Means) method with cosine similarity is used to predict ratings based on the similarity of preferences between users. The model was trained and tested with a 75:25 train-test split. Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) were used as evaluation metrics. Test results show low MAE and RMSE values (around below 1.0 on a 1–5 rating scale), indicating that the recommendations generated are quite accurate. It can be concluded that the Collaborative Filtering approach is effective in recommending CEX platforms according to user needs. This recommendation system is expected to assist traders – especially beginners – in choosing the right exchange more objectively.

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Pitaloka, E. D. A. (2022). PERTENTANGAN UNDANG-UNDANG INFORMASI DAN TRANSAKSI ELEKTRONIK DENGAN UNDANG-UNDANG TRANSFER DANA DALAM PERDAGANGAN BERJANGKA KOMODITI BERBASIS INTERNET. Jurnal Yuridis, 8(2), 187. https://doi.org/10.35586/jyur.v8i2.2831.

CoinMarketCap. (n.d.). Bursa Cryptocurrency Top Diberi Peringkat Berdasarkan Volume. CoinMarketCap. Retrieved April 27, 2025, from https://coinmarketcap.com/id/rankings/exchanges/.

Yuqian Lim. (n.d.). Top Crypto Exchanges in Indonesia (2023 Analysis). Coingecko. Retrieved April 27, 2025, from https://www.coingecko.com/research/publications/indonesia-crypto-exchanges.

Susanto, H., Setyanto, A., & Muhammad, A. H. (n.d.). Analisis Sentimen Berita terhadap Bitcoin dengan Metode Klasifikasi K-Nearest Neighbor (Vol. 4, Issue 2). https://en.wikipedia.org/wiki/2023#References.

Chainalysis Team. (n.d.). $2.2 Billion Stolen from Crypto Platforms in 2024, but Hacked Volumes Stagnate Toward Year-End as DPRK Slows Activity Post-July. Chainalysis Team. Retrieved April 27, 2025, from https://www.chainalysis.com/blog/crypto-hacking-stolen-funds-2025.

legalitas.org. (2025, February 10). Izin Pedagang Fisik Aset Kripto: Yang Harus Diketahui. Legalitas.Org. https://legalitas.org/izin-pedagang-fisik-aset-kripto-yang-harus-diketahui. Diakses pada 27-04-2025.

Otoritas Jasa Keuangan (OJK). (n.d.). POJK 27 Tahun 2024 Penyelenggaraan Perdagangan Aset Keuangan Digital Termasuk Aset Kripto AKD AK.

Monica, D., & Atmojo, W. T. (2023). DECISION SUPPORT SYSTEM SELECTING CRYPTOCURRENCY EXCHANGE USING AHP METHOD. Jurnal Teknik Informatika (Jutif), 4(2), 345–354. https://doi.org/10.52436/1.jutif.2023.4.2.467.

Setyadi, K., Wicaksono, S. A., & Perdanakusuma, A. R. (2017). Analisis Faktor Push-Pull-Mooring dalam Beralih Penggunaan Centralized Exchange (CEX) Cryptocurrency Indonesia ke CEX Internasional (Vol. 1, Issue 1). http://j-ptiik.ub.ac.id.

Hägele, S. (2024). Centralized exchanges vs. decentralized exchanges in cryptocurrency markets: A systematic literature review. Electronic Markets, 34(1). https://doi.org/10.1007/s12525-024-00714-2.

Oktavika, R. (n.d.). SISTEM REKOMENDASI WISATA DENGAN MENGGUNAKAN ALGORITMA COLLABORATIVE FILTERING. In Teknologipintar.org (Vol. 3, Issue 1).

Sebastian, R., Witanti, W., & Abdillah, G. (n.d.). SEMINAR NASIONAL CORISINDO Sistem Rekomendasi Produk Clothing Menggunakan Metode Collaborative Filtering.

Pradana, R. Y., Nastiti, F. E., & Oktaviani, I. (2024). Machine Learning Pengklasifikasikan Performa Karyawan Direct Sales Force Kartu Prabayar Menggunakan Metode Random Forest Classifier. JEKIN - Jurnal Teknik Informatika, 4(3), 590–599. https://doi.org/10.58794/jekin.v4i3.864.

Kumari, K., Bhardwaj, M., & Sharma, S. (2020). OSEMN Approach for Real Time Data Analysis. International Journal of Engineering and Management Research, 10(02), 107–110. https://doi.org/10.31033/ijemr.10.2.11.

Benjamin Obi Tayo, Ph. D. (n.d.). Airia Enterprise AI Learn more Exploring Data Distributions with Histograms. Retrieved June 17, 2025, from https://www.kdnuggets.com/2023/05/exploring-data-distributions-histograms.html.

Laugier, L., Vadapalli, R., Bonald, T., & Dixon, L. (2023). KNNs of Semantic Encodings for Rating Prediction. http://arxiv.org/abs/2302.00412

Shukla, A. (n.d.). Train-Test Split – How to split data into training and testing sets. Retrieved June 17, 2025, from https://www.machinelearningplus.com/machine-learning/train-test-split/.

Al-Ghamdi, M., Elazhary, H., & Mojahed, A. (n.d.). Evaluation of Collaborative Filtering for Recommender Systems. In IJACSA) International Journal of Advanced Computer Science and Applications (Vol. 12, Issue 3). www.ijacsa.thesai.org.




DOI: http://dx.doi.org/10.30811/jaise.v5i3.7179

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