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All Journal JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Technology and Informatics (JoTI)
Anggara, Jerry
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Mechanical Engineering

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Journal : Journal of Technology and Informatics (JoTI)

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Pengembangan Sistem Prediksi Harga dan Rekomendasi Mobil Bekas Berbasis Machine Learning Anggara, Jerry; Ramadhan, Fauzi Rahmat; Syofian, Achmad Fikri; Panjaitan, Apriansa Arwandi; Fithra, Raka Fazah
Journal of Technology and Informatics (JoTI) Vol. 7 No. 1 (2025): Vol. 7 No.1 (2025)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/joti.v7i1.987

Abstract

The used car sales business in Indonesia has been experiencing rapid growth, driven by increasing market demand. However, determining the price of used cars remains a challenge due to various influencing factors such as the year of production, mileage, and vehicle specifications. This research develops a web-based used car price prediction system using the XGBoost Regressor algorithm. The data used undergoes preprocessing and hyperparameter tuning to produce a high-performance model (R²: 97.79% on training data and 89.90% on testing data, MSE: 2.3129, RMSE: 1.5208). Additionally, the system provides a car recommendation feature using a Rule-Based Method, allowing users to filter vehicles based on specific criteria. The results demonstrate that this system effectively assists both buyers and sellers in making more informed, efficient, and transparent decisions in used car transactions.
Co-Authors Budi Arif Dermawan Eddy Ryansyah Fithra, Raka Fazah Panjaitan, Apriansa Arwandi Ramadhan, Fauzi Rahmat Syofian, Achmad Fikri